repo stringlengths 1 99 | file stringlengths 13 215 | code stringlengths 12 59.2M | file_length int64 12 59.2M | avg_line_length float64 3.82 1.48M | max_line_length int64 12 2.51M | extension_type stringclasses 1
value |
|---|---|---|---|---|---|---|
SpeechT5 | SpeechT5-main/SpeechUT/speechut/modules/transformer_encoder.py | # --------------------------------------------------------
# Copyright (c) 2022 Microsoft
# Licensed under The MIT License [see LICENSE for details]
# Based on fairseq code bases
# https://github.com/facebookresearch/fairseq
# --------------------------------------------------------
import math
from typing import Dict... | 15,939 | 38.651741 | 154 | py |
SpeechT5 | SpeechT5-main/SpeechUT/speechut/modules/transformer_layer.py | # --------------------------------------------------------
# Copyright (c) 2022 Microsoft
# Licensed under The MIT License [see LICENSE for details]
# Based on fairseq code bases
# https://github.com/facebookresearch/fairseq
# --------------------------------------------------------
"""
Modified from https://githu... | 13,447 | 39.628399 | 137 | py |
SpeechT5 | SpeechT5-main/SpeechUT/speechut/criterions/speechut_criterion.py | # ----------------------------------------------------------------------------
# SpeechUT: Bridging Speech and Text with Hidden-Unit for Encoder-Decoder Based Speech-Text Pre-training (https://arxiv.org/abs/2210.03730)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/SpeechUT
# Code based on fairseq: ht... | 16,798 | 42.633766 | 165 | py |
SpeechT5 | SpeechT5-main/SpeechUT/speechut/criterions/ctc_ce.py | # ----------------------------------------------------------------------------
# SpeechUT: Bridging Speech and Text with Hidden-Unit for Encoder-Decoder Based Speech-Text Pre-training (https://arxiv.org/abs/2210.03730)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/SpeechUT
# Code based on fairseq: ht... | 16,818 | 39.527711 | 139 | py |
SpeechT5 | SpeechT5-main/SpeechUT/speechut/models/t5_transformer_lm.py | # --------------------------------------------------------
# Pre-Training Transformer Decoder for End-to-End ASR Model with Unpaired Speech Data (https://arxiv.org/abs/2203.17113)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/Speech2C
# Copyright (c) 2022 Microsoft
# Licensed under The MIT License [s... | 1,221 | 46 | 120 | py |
SpeechT5 | SpeechT5-main/SpeechUT/speechut/models/speechut_st.py | # ----------------------------------------------------------------------------
# SpeechUT: Bridging Speech and Text with Hidden-Unit for Encoder-Decoder Based Speech-Text Pre-training (https://arxiv.org/abs/2210.03730)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/SpeechUT
# Code based on fairseq: ht... | 8,484 | 37.220721 | 139 | py |
SpeechT5 | SpeechT5-main/SpeechUT/speechut/models/speechut_asr.py | # ----------------------------------------------------------------------------
# SpeechUT: Bridging Speech and Text with Hidden-Unit for Encoder-Decoder Based Speech-Text Pre-training (https://arxiv.org/abs/2210.03730)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/SpeechUT
# Code based on fairseq: ht... | 6,148 | 36.042169 | 139 | py |
SpeechT5 | SpeechT5-main/SpeechUT/speechut/models/speechut.py | # ----------------------------------------------------------------------------
# SpeechUT: Bridging Speech and Text with Hidden-Unit for Encoder-Decoder Based Speech-Text Pre-training (https://arxiv.org/abs/2210.03730)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/SpeechUT
# Code based on fairseq: ht... | 30,137 | 37.343511 | 156 | py |
SpeechT5 | SpeechT5-main/SpeechUT/speechut/data/hubert_dataset.py | # --------------------------------------------------------
# Copyright (c) 2022 Microsoft
# Licensed under The MIT License [see LICENSE for details]
# Based on fairseq code bases
# https://github.com/facebookresearch/fairseq
# --------------------------------------------------------
import itertools
import logging
imp... | 23,530 | 38.349498 | 218 | py |
SpeechT5 | SpeechT5-main/SpeechUT/speechut/data/concat_dataset.py | # --------------------------------------------------------
# Copyright (c) 2022 Microsoft
# Licensed under The MIT License [see LICENSE for details]
# Based on fairseq code bases
# https://github.com/facebookresearch/fairseq
# --------------------------------------------------------
import bisect
import numpy as np
f... | 4,937 | 36.984615 | 86 | py |
SpeechT5 | SpeechT5-main/SpeechUT/speechut/data/language_trible_dataset.py | # --------------------------------------------------------
# Copyright (c) 2022 Microsoft
# Licensed under The MIT License [see LICENSE for details]
# Based on fairseq code bases
# https://github.com/facebookresearch/fairseq
# --------------------------------------------------------
import logging
import numpy as np
i... | 25,659 | 37.298507 | 115 | py |
SpeechT5 | SpeechT5-main/SpeechUT/speechut/tasks/joint_sc2t_pretrain.py | # ----------------------------------------------------------------------------
# SpeechUT: Bridging Speech and Text with Hidden-Unit for Encoder-Decoder Based Speech-Text Pre-training (https://arxiv.org/abs/2210.03730)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/SpeechUT
# Code based on fairseq: ht... | 40,295 | 39.095522 | 156 | py |
SpeechT5 | SpeechT5-main/SpeechT5/speecht5/sequence_generator.py | # --------------------------------------------------------
# SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing (https://arxiv.org/abs/2110.07205)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/SpeechT5
# Copyright (c) 2021 Microsoft
# Licensed under The MIT License [s... | 45,330 | 40.93432 | 143 | py |
SpeechT5 | SpeechT5-main/SpeechT5/speecht5/criterions/text_pretrain_criterion.py | # --------------------------------------------------------
# SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing (https://arxiv.org/abs/2110.07205)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/SpeechT5
# Copyright (c) 2021 Microsoft
# Licensed under The MIT License [s... | 6,099 | 41.068966 | 120 | py |
SpeechT5 | SpeechT5-main/SpeechT5/speecht5/criterions/speech_to_text_loss.py | # --------------------------------------------------------
# SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing (https://arxiv.org/abs/2110.07205)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/SpeechT5
# Copyright (c) 2021 Microsoft
# Licensed under The MIT License [s... | 17,789 | 36.37395 | 120 | py |
SpeechT5 | SpeechT5-main/SpeechT5/speecht5/criterions/speech_pretrain_criterion.py | # --------------------------------------------------------
# SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing (https://arxiv.org/abs/2110.07205)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/SpeechT5
# Copyright (c) 2021 Microsoft
# Licensed under The MIT License [s... | 11,168 | 40.675373 | 131 | py |
SpeechT5 | SpeechT5-main/SpeechT5/speecht5/criterions/text_to_speech_loss.py | # --------------------------------------------------------
# SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing (https://arxiv.org/abs/2110.07205)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/SpeechT5
# Copyright (c) 2021 Microsoft
# Licensed under The MIT License [s... | 18,153 | 41.415888 | 141 | py |
SpeechT5 | SpeechT5-main/SpeechT5/speecht5/criterions/speecht5_criterion.py | # --------------------------------------------------------
# SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing (https://arxiv.org/abs/2110.07205)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/SpeechT5
# Copyright (c) 2021 Microsoft
# Licensed under The MIT License [s... | 22,049 | 48.439462 | 142 | py |
SpeechT5 | SpeechT5-main/SpeechT5/speecht5/models/t5_transformer_lm.py | # --------------------------------------------------------
# SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing (https://arxiv.org/abs/2110.07205)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/SpeechT5
# Copyright (c) 2021 Microsoft
# Licensed under The MIT License [s... | 1,266 | 47.730769 | 120 | py |
SpeechT5 | SpeechT5-main/SpeechT5/speecht5/models/speecht5.py | # --------------------------------------------------------
# SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing (https://arxiv.org/abs/2110.07205)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/SpeechT5
# Copyright (c) 2021 Microsoft
# Licensed under The MIT License [s... | 64,615 | 43.624309 | 266 | py |
SpeechT5 | SpeechT5-main/SpeechT5/speecht5/models/modules/text_encoder_prenet.py | # --------------------------------------------------------
# SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing (https://arxiv.org/abs/2110.07205)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/SpeechT5
# Copyright (c) 2021 Microsoft
# Licensed under The MIT License [s... | 1,735 | 36.73913 | 129 | py |
SpeechT5 | SpeechT5-main/SpeechT5/speecht5/models/modules/text_decoder_postnet.py | # --------------------------------------------------------
# SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing (https://arxiv.org/abs/2110.07205)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/SpeechT5
# Copyright (c) 2021 Microsoft
# Licensed under The MIT License [s... | 3,653 | 37.87234 | 120 | py |
SpeechT5 | SpeechT5-main/SpeechT5/speecht5/models/modules/speech_decoder_postnet.py | # --------------------------------------------------------
# SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing (https://arxiv.org/abs/2110.07205)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/SpeechT5
# Copyright (c) 2021 Microsoft
# Licensed under The MIT License [s... | 2,779 | 35.103896 | 120 | py |
SpeechT5 | SpeechT5-main/SpeechT5/speecht5/models/modules/multihead_attention.py | # --------------------------------------------------------
# SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing (https://arxiv.org/abs/2110.07205)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/SpeechT5
# Copyright (c) 2021 Microsoft
# Licensed under The MIT License [s... | 21,269 | 39.669216 | 120 | py |
SpeechT5 | SpeechT5-main/SpeechT5/speecht5/models/modules/speech_decoder_prenet.py | # --------------------------------------------------------
# SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing (https://arxiv.org/abs/2110.07205)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/SpeechT5
# Copyright (c) 2021 Microsoft
# Licensed under The MIT License [s... | 4,679 | 41.162162 | 155 | py |
SpeechT5 | SpeechT5-main/SpeechT5/speecht5/models/modules/encoder.py | # --------------------------------------------------------
# SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing (https://arxiv.org/abs/2110.07205)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/SpeechT5
# Copyright (c) 2021 Microsoft
# Licensed under The MIT License [s... | 15,169 | 38.816273 | 143 | py |
SpeechT5 | SpeechT5-main/SpeechT5/speecht5/models/modules/speech_encoder_prenet.py | # --------------------------------------------------------
# SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing (https://arxiv.org/abs/2110.07205)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/SpeechT5
# Copyright (c) 2021 Microsoft
# Licensed under The MIT License [s... | 13,801 | 35.805333 | 137 | py |
SpeechT5 | SpeechT5-main/SpeechT5/speecht5/models/modules/transformer_layer.py | # --------------------------------------------------------
# SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing (https://arxiv.org/abs/2110.07205)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/SpeechT5
# Copyright (c) 2021 Microsoft
# Licensed under The MIT License [s... | 15,992 | 37.817961 | 120 | py |
SpeechT5 | SpeechT5-main/SpeechT5/speecht5/models/modules/decoder.py | # --------------------------------------------------------
# SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing (https://arxiv.org/abs/2110.07205)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/SpeechT5
# Copyright (c) 2021 Microsoft
# Licensed under The MIT License [s... | 12,578 | 37.704615 | 143 | py |
SpeechT5 | SpeechT5-main/SpeechT5/speecht5/models/modules/speech_encoder_postnet.py | # --------------------------------------------------------
# SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing (https://arxiv.org/abs/2110.07205)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/SpeechT5
# Copyright (c) 2021 Microsoft
# Licensed under The MIT License [s... | 4,765 | 37.128 | 120 | py |
SpeechT5 | SpeechT5-main/SpeechT5/speecht5/models/modules/text_decoder_prenet.py | # --------------------------------------------------------
# SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing (https://arxiv.org/abs/2110.07205)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/SpeechT5
# Copyright (c) 2021 Microsoft
# Licensed under The MIT License [s... | 4,458 | 33.565891 | 120 | py |
SpeechT5 | SpeechT5-main/SpeechT5/speecht5/models/modules/speaker_decoder_postnet.py | # --------------------------------------------------------
# SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing (https://arxiv.org/abs/2110.07205)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/SpeechT5
# Copyright (c) 2021 Microsoft
# Licensed under The MIT License [s... | 7,133 | 35.030303 | 120 | py |
SpeechT5 | SpeechT5-main/SpeechT5/speecht5/data/text_dataset.py | # --------------------------------------------------------
# SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing (https://arxiv.org/abs/2110.07205)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/SpeechT5
# Copyright (c) 2021 Microsoft
# Licensed under The MIT License [s... | 17,637 | 35.976939 | 151 | py |
SpeechT5 | SpeechT5-main/SpeechT5/speecht5/data/speech_to_class_dataset.py | # --------------------------------------------------------
# SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing (https://arxiv.org/abs/2110.07205)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/SpeechT5
# Copyright (c) 2021 Microsoft
# Licensed under The MIT License [s... | 8,885 | 32.787072 | 120 | py |
SpeechT5 | SpeechT5-main/SpeechT5/speecht5/data/speech_to_speech_dataset.py | # --------------------------------------------------------
# SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing (https://arxiv.org/abs/2110.07205)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/SpeechT5
# Copyright (c) 2021 Microsoft
# Licensed under The MIT License [s... | 10,528 | 36.204947 | 160 | py |
SpeechT5 | SpeechT5-main/SpeechT5/speecht5/data/text_to_speech_dataset.py | # --------------------------------------------------------
# SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing (https://arxiv.org/abs/2110.07205)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/SpeechT5
# Copyright (c) 2021 Microsoft
# Licensed under The MIT License [s... | 11,956 | 35.01506 | 160 | py |
SpeechT5 | SpeechT5-main/SpeechT5/speecht5/data/multitask_dataset.py | # --------------------------------------------------------
# SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing (https://arxiv.org/abs/2110.07205)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/SpeechT5
# Copyright (c) 2021 Microsoft
# Licensed under The MIT License [s... | 10,822 | 39.68797 | 169 | py |
SpeechT5 | SpeechT5-main/SpeechT5/speecht5/data/speech_to_text_dataset.py | # --------------------------------------------------------
# SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing (https://arxiv.org/abs/2110.07205)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/SpeechT5
# Copyright (c) 2021 Microsoft
# Licensed under The MIT License [s... | 9,259 | 33.169742 | 120 | py |
SpeechT5 | SpeechT5-main/SpeechT5/speecht5/data/speech_dataset.py | # --------------------------------------------------------
# SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing (https://arxiv.org/abs/2110.07205)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/SpeechT5
# Copyright (c) 2021 Microsoft
# Licensed under The MIT License [s... | 17,870 | 36.465409 | 160 | py |
SpeechT5 | SpeechT5-main/SpeechT5/speecht5/tasks/speecht5.py | # --------------------------------------------------------
# SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing (https://arxiv.org/abs/2110.07205)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/SpeechT5
# Copyright (c) 2021 Microsoft
# Licensed under The MIT License [s... | 27,929 | 38.843081 | 158 | py |
SpeechT5 | SpeechT5-main/SpeechT5/scripts/generate_class.py | import ast
import logging
import os
import sys
from argparse import Namespace
import numpy as np
import torch
from fairseq import checkpoint_utils, options, tasks, utils
from fairseq.dataclass.utils import convert_namespace_to_omegaconf
from fairseq.logging import progress_bar
from omegaconf import DictConfig
def ma... | 5,398 | 34.058442 | 116 | py |
SpeechT5 | SpeechT5-main/SpeechT5/scripts/generate_speech.py | import ast
import logging
import os
import os.path as op
import sys
from argparse import Namespace
import numpy as np
import torch
from fairseq import checkpoint_utils, options, tasks, utils
from fairseq.dataclass.utils import convert_namespace_to_omegaconf
from fairseq.logging import progress_bar
from omegaconf impor... | 7,407 | 36.04 | 183 | py |
SpeechT5 | SpeechT5-main/Speech2C/speech2c/squence_generator.py | # --------------------------------------------------------
# Pre-Training Transformer Decoder for End-to-End ASR Model with Unpaired Speech Data (https://arxiv.org/abs/2203.17113)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/Speech2C
# Copyright (c) 2022 Microsoft
# Licensed under The MIT License [s... | 43,081 | 40.867833 | 143 | py |
SpeechT5 | SpeechT5-main/Speech2C/speech2c/criterions/ctc_ce.py | # --------------------------------------------------------
# Pre-Training Transformer Decoder for End-to-End ASR Model with Unpaired Speech Data (https://arxiv.org/abs/2203.17113)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/Speech2C
# Copyright (c) 2022 Microsoft
# Licensed under The MIT License [s... | 16,148 | 38.874074 | 127 | py |
SpeechT5 | SpeechT5-main/Speech2C/speech2c/criterions/speech2c_criterion.py | # --------------------------------------------------------
# Pre-Training Transformer Decoder for End-to-End ASR Model with Unpaired Speech Data (https://arxiv.org/abs/2203.17113)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/Speech2C
# Copyright (c) 2022 Microsoft
# Licensed under The MIT License [s... | 11,769 | 43.923664 | 185 | py |
SpeechT5 | SpeechT5-main/Speech2C/speech2c/models/speech2c_asr.py | # --------------------------------------------------------
# Pre-Training Transformer Decoder for End-to-End ASR Model with Unpaired Speech Data (https://arxiv.org/abs/2203.17113)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/Speech2C
# Copyright (c) 2022 Microsoft
# Licensed under The MIT License [s... | 10,732 | 37.747292 | 120 | py |
SpeechT5 | SpeechT5-main/Speech2C/speech2c/models/t5_transformer_lm.py | # --------------------------------------------------------
# Pre-Training Transformer Decoder for End-to-End ASR Model with Unpaired Speech Data (https://arxiv.org/abs/2203.17113)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/Speech2C
# Copyright (c) 2022 Microsoft
# Licensed under The MIT License [s... | 1,221 | 46 | 120 | py |
SpeechT5 | SpeechT5-main/Speech2C/speech2c/models/speech2c.py | # --------------------------------------------------------
# Pre-Training Transformer Decoder for End-to-End ASR Model with Unpaired Speech Data (https://arxiv.org/abs/2203.17113)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/Speech2C
# Copyright (c) 2022 Microsoft
# Licensed under The MIT License [s... | 11,627 | 35.111801 | 120 | py |
SpeechT5 | SpeechT5-main/Speech2C/speech2c/models/modules/multihead_attention.py | # --------------------------------------------------------
# Pre-Training Transformer Decoder for End-to-End ASR Model with Unpaired Speech Data (https://arxiv.org/abs/2203.17113)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/Speech2C
# Copyright (c) 2022 Microsoft
# Licensed under The MIT License [s... | 13,608 | 38.792398 | 120 | py |
SpeechT5 | SpeechT5-main/Speech2C/speech2c/models/modules/relative_pos_enc.py | # --------------------------------------------------------
# Pre-Training Transformer Decoder for End-to-End ASR Model with Unpaired Speech Data (https://arxiv.org/abs/2203.17113)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/Speech2C
# Copyright (c) 2022 Microsoft
# Licensed under The MIT License [s... | 1,328 | 35.916667 | 120 | py |
SpeechT5 | SpeechT5-main/Speech2C/speech2c/models/modules/transformer_decoder.py | # --------------------------------------------------------
# Pre-Training Transformer Decoder for End-to-End ASR Model with Unpaired Speech Data (https://arxiv.org/abs/2203.17113)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/Speech2C
# Copyright (c) 2022 Microsoft
# Licensed under The MIT License [s... | 18,438 | 36.940329 | 120 | py |
SpeechT5 | SpeechT5-main/Speech2C/speech2c/models/modules/transformer_encoder.py | # --------------------------------------------------------
# Pre-Training Transformer Decoder for End-to-End ASR Model with Unpaired Speech Data (https://arxiv.org/abs/2203.17113)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/Speech2C
# Copyright (c) 2022 Microsoft
# Licensed under The MIT License [s... | 9,739 | 33.910394 | 120 | py |
SpeechT5 | SpeechT5-main/Speech2C/speech2c/models/modules/transformer_decoder_layer.py | # --------------------------------------------------------
# Pre-Training Transformer Decoder for End-to-End ASR Model with Unpaired Speech Data (https://arxiv.org/abs/2203.17113)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/Speech2C
# Copyright (c) 2022 Microsoft
# Licensed under The MIT License [s... | 8,912 | 40.263889 | 120 | py |
SpeechT5 | SpeechT5-main/Speech2C/speech2c/data/speech2c_dataset.py | # --------------------------------------------------------
# Pre-Training Transformer Decoder for End-to-End ASR Model with Unpaired Speech Data (https://arxiv.org/abs/2203.17113)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/Speech2C
# Copyright (c) 2022 Microsoft
# Licensed under The MIT License [s... | 5,370 | 35.787671 | 140 | py |
SpeechT5 | SpeechT5-main/Speech2C/speech2c/tasks/speech2c_pretraining.py | # --------------------------------------------------------
# Pre-Training Transformer Decoder for End-to-End ASR Model with Unpaired Speech Data (https://arxiv.org/abs/2203.17113)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/Speech2C
# Copyright (c) 2022 Microsoft
# Licensed under The MIT License [s... | 3,412 | 36.097826 | 120 | py |
SpeechT5 | SpeechT5-main/SpeechLM/modules.py | # ----------------------------------------------------------------------------
# SpeechLM: Enhanced Speech Pre-Training with Unpaired Textual Data (https://arxiv.org/abs/2209.15329)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/SpeechLM
# Code based on fairseq: https://github.com/facebookresearch/fai... | 81,313 | 37.157672 | 161 | py |
SpeechT5 | SpeechT5-main/SpeechLM/SpeechLM.py | # ----------------------------------------------------------------------------
# SpeechLM: Enhanced Speech Pre-Training with Unpaired Textual Data (https://arxiv.org/abs/2209.15329)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/SpeechLM
# Code based on fairseq: https://github.com/facebookresearch/fai... | 26,781 | 39.092814 | 234 | py |
SpeechT5 | SpeechT5-main/SpeechLM/speechlm/generate_unit.py | # ----------------------------------------------------------------------------
# SpeechLM: Enhanced Speech Pre-Training with Unpaired Textual Data (https://arxiv.org/abs/2209.15329)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/SpeechLM
# Code based on fairseq: https://github.com/facebookresearch/fai... | 15,124 | 35.622276 | 180 | py |
SpeechT5 | SpeechT5-main/SpeechLM/speechlm/unit_generator.py | # ----------------------------------------------------------------------------
# SpeechLM: Enhanced Speech Pre-Training with Unpaired Textual Data (https://arxiv.org/abs/2209.15329)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/SpeechLM
# Code based on fairseq: https://github.com/facebookresearch/fai... | 2,589 | 37.656716 | 134 | py |
SpeechT5 | SpeechT5-main/SpeechLM/speechlm/infer.py | # ----------------------------------------------------------------------------
# SpeechLM: Enhanced Speech Pre-Training with Unpaired Textual Data (https://arxiv.org/abs/2209.15329)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/SpeechLM
# Code based on fairseq: https://github.com/facebookresearch/fai... | 17,255 | 34.433265 | 145 | py |
SpeechT5 | SpeechT5-main/SpeechLM/speechlm/modules/learned_positional_embedding.py | # --------------------------------------------------------
# Copyright (c) 2022 Microsoft
# Licensed under The MIT License [see LICENSE for details]
# Based on fairseq code bases
# https://github.com/facebookresearch/fairseq
# --------------------------------------------------------
"""
Modified from https://github... | 2,654 | 37.478261 | 119 | py |
SpeechT5 | SpeechT5-main/SpeechLM/speechlm/modules/multihead_attention.py | # --------------------------------------------------------
# Pre-Training Transformer Decoder for End-to-End ASR Model with Unpaired Speech Data (https://arxiv.org/abs/2203.17113)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/Speech2C
# Copyright (c) 2022 Microsoft
# Licensed under The MIT License [s... | 13,917 | 38.879656 | 120 | py |
SpeechT5 | SpeechT5-main/SpeechLM/speechlm/modules/relative_pos_enc.py | # --------------------------------------------------------
# Pre-Training Transformer Decoder for End-to-End ASR Model with Unpaired Speech Data (https://arxiv.org/abs/2203.17113)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/Speech2C
# Copyright (c) 2022 Microsoft
# Licensed under The MIT License [s... | 1,328 | 35.916667 | 120 | py |
SpeechT5 | SpeechT5-main/SpeechLM/speechlm/modules/transformer_decoder.py | # --------------------------------------------------------
# The YiTrans End-to-End Speech Translation System for IWSLT 2022 Offline Shared Task (https://arxiv.org/abs/2206.05777)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/YiTrans
# Copyright (c) 2022 Microsoft
# Licensed under The MIT License [se... | 20,499 | 36.614679 | 133 | py |
SpeechT5 | SpeechT5-main/SpeechLM/speechlm/modules/w2v_encoder.py | # --------------------------------------------------------
# The YiTrans End-to-End Speech Translation System for IWSLT 2022 Offline Shared Task (https://arxiv.org/abs/2206.05777)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/YiTrans
# Copyright (c) 2022 Microsoft
# Licensed under The MIT License [se... | 10,032 | 34.327465 | 120 | py |
SpeechT5 | SpeechT5-main/SpeechLM/speechlm/modules/transformer_encoder.py | # ----------------------------------------------------------------------------
# SpeechLM: Enhanced Speech Pre-Training with Unpaired Textual Data (https://arxiv.org/abs/2209.15329)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/SpeechLM
# Code based on fairseq: https://github.com/facebookresearch/fai... | 16,215 | 39.138614 | 154 | py |
SpeechT5 | SpeechT5-main/SpeechLM/speechlm/modules/transformer_layer.py | # --------------------------------------------------------
# Copyright (c) 2022 Microsoft
# Licensed under The MIT License [see LICENSE for details]
# Based on fairseq code bases
# https://github.com/facebookresearch/fairseq
# --------------------------------------------------------
"""
Modified from https://github... | 13,466 | 39.809091 | 137 | py |
SpeechT5 | SpeechT5-main/SpeechLM/speechlm/criterions/speechlm_criterion.py | # ----------------------------------------------------------------------------
# SpeechLM: Enhanced Speech Pre-Training with Unpaired Textual Data (https://arxiv.org/abs/2209.15329)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/SpeechLM
# Code based on fairseq: https://github.com/facebookresearch/fai... | 14,876 | 41.144476 | 143 | py |
SpeechT5 | SpeechT5-main/SpeechLM/speechlm/criterions/fasttext2unit_loss.py | # ----------------------------------------------------------------------------
# SpeechLM: Enhanced Speech Pre-Training with Unpaired Textual Data (https://arxiv.org/abs/2209.15329)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/SpeechLM
# Code based on fairseq: https://github.com/facebookresearch/fai... | 7,248 | 38.82967 | 114 | py |
SpeechT5 | SpeechT5-main/SpeechLM/speechlm/models/fasttext2unit.py | # ----------------------------------------------------------------------------
# SpeechLM: Enhanced Speech Pre-Training with Unpaired Textual Data (https://arxiv.org/abs/2209.15329)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/SpeechLM
# Code based on fairseq: https://github.com/facebookresearch/fai... | 9,903 | 42.629956 | 114 | py |
SpeechT5 | SpeechT5-main/SpeechLM/speechlm/models/speechlm.py | # ----------------------------------------------------------------------------
# SpeechLM: Enhanced Speech Pre-Training with Unpaired Textual Data (https://arxiv.org/abs/2209.15329)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/SpeechLM
# Code based on fairseq: https://github.com/facebookresearch/fai... | 27,019 | 36.475728 | 150 | py |
SpeechT5 | SpeechT5-main/SpeechLM/speechlm/models/speechlm_st.py | # ----------------------------------------------------------------------------
# SpeechLM: Enhanced Speech Pre-Training with Unpaired Textual Data (https://arxiv.org/abs/2209.15329)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/SpeechLM
# Code based on fairseq: https://github.com/facebookresearch/fai... | 10,635 | 38.539033 | 114 | py |
SpeechT5 | SpeechT5-main/SpeechLM/speechlm/data_process/get_t2u_manifest.py | # ----------------------------------------------------------------------------
# SpeechLM: Enhanced Speech Pre-Training with Unpaired Textual Data (https://arxiv.org/abs/2209.15329)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/SpeechLM
# Code based on fairseq: https://github.com/facebookresearch/fai... | 4,933 | 40.116667 | 114 | py |
SpeechT5 | SpeechT5-main/SpeechLM/speechlm/data_process/covost2/prepare_covost_data.py | # ----------------------------------------------------------------------------
# SpeechLM: Enhanced Speech Pre-Training with Unpaired Textual Data (https://arxiv.org/abs/2209.15329)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/SpeechLM
# Code based on fairseq: https://github.com/facebookresearch/fai... | 10,117 | 33.182432 | 148 | py |
SpeechT5 | SpeechT5-main/SpeechLM/speechlm/data_process/covost2/mp3_to_wav.py | import argparse
from tqdm import tqdm
from pydub import AudioSegment
import torchaudio
import os
def mp3_convert_wav(mp3_file, wav_file):
try:
sound = AudioSegment.from_mp3(mp3_file)
sound=sound.set_frame_rate(16000)
sound=sound.set_channels(1)
sound=sound.set_sample_width(2)
... | 1,319 | 29.697674 | 79 | py |
SpeechT5 | SpeechT5-main/SpeechLM/speechlm/data/text_to_unit_dataset.py | # ----------------------------------------------------------------------------
# SpeechLM: Enhanced Speech Pre-Training with Unpaired Textual Data (https://arxiv.org/abs/2209.15329)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/SpeechLM
# Code based on fairseq: https://github.com/facebookresearch/fai... | 10,859 | 35.938776 | 114 | py |
SpeechT5 | SpeechT5-main/SpeechLM/speechlm/data/hubert_dataset.py | # ----------------------------------------------------------------------------
# SpeechLM: Enhanced Speech Pre-Training with Unpaired Textual Data (https://arxiv.org/abs/2209.15329)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/SpeechLM
# Code based on fairseq: https://github.com/facebookresearch/fai... | 23,789 | 38.65 | 218 | py |
SpeechT5 | SpeechT5-main/SpeechLM/speechlm/data/concat_dataset.py | # ----------------------------------------------------------------------------
# SpeechLM: Enhanced Speech Pre-Training with Unpaired Textual Data (https://arxiv.org/abs/2209.15329)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/SpeechLM
# Code based on fairseq: https://github.com/facebookresearch/fai... | 5,196 | 38.371212 | 114 | py |
SpeechT5 | SpeechT5-main/SpeechLM/speechlm/data/language_trible_dataset.py | # ----------------------------------------------------------------------------
# SpeechLM: Enhanced Speech Pre-Training with Unpaired Textual Data (https://arxiv.org/abs/2209.15329)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/SpeechLM
# Code based on fairseq: https://github.com/facebookresearch/fai... | 25,918 | 37.56994 | 115 | py |
SpeechT5 | SpeechT5-main/SpeechLM/speechlm/tasks/joint_sc2t_pretrain.py | # ----------------------------------------------------------------------------
# SpeechLM: Enhanced Speech Pre-Training with Unpaired Textual Data (https://arxiv.org/abs/2209.15329)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/SpeechLM
# Code based on fairseq: https://github.com/facebookresearch/fai... | 39,126 | 39.048106 | 156 | py |
SpeechT5 | SpeechT5-main/SpeechLM/speechlm/tasks/fast_text_to_unit.py | # ----------------------------------------------------------------------------
# SpeechLM: Enhanced Speech Pre-Training with Unpaired Textual Data (https://arxiv.org/abs/2209.15329)
# Github source: https://github.com/microsoft/SpeechT5/tree/main/SpeechLM
# Code based on fairseq: https://github.com/facebookresearch/fai... | 7,313 | 40.794286 | 138 | py |
SpeechT5 | SpeechT5-main/VATLM/vat_hubert/vathubert/utils.py | # Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import cv2
import torch
import random
import numpy as np
from typing import Dict, List, Optional, Tuple
def load_video(pat... | 10,068 | 32.675585 | 143 | py |
SpeechT5 | SpeechT5-main/VATLM/vat_hubert/vathubert/sequence_generator.py | # ----------------------------------------------------------------------------
# VatLM: Visual-Audio-Text Pre-Training with Unified Masked Prediction for Speech Representation Learning
# Github source: https://github.com/microsoft/SpeechT5/tree/main/VATLM
# Code based on fairseq: https://github.com/facebookresearch/fa... | 39,760 | 39.203236 | 129 | py |
SpeechT5 | SpeechT5-main/VATLM/vat_hubert/vathubert/infer_s2s.py | # ----------------------------------------------------------------------------
# VatLM: Visual-Audio-Text Pre-Training with Unified Masked Prediction for Speech Representation Learning
# Github source: https://github.com/microsoft/SpeechT5/tree/main/VATLM
# Code based on fairseq: https://github.com/facebookresearch/fa... | 12,213 | 36.931677 | 129 | py |
SpeechT5 | SpeechT5-main/VATLM/vat_hubert/vathubert/criterions/vathubert_criterion.py | # ----------------------------------------------------------------------------
# VatLM: Visual-Audio-Text Pre-Training with Unified Masked Prediction for Speech Representation Learning
# Github source: https://github.com/microsoft/SpeechT5/tree/main/VATLM
# Code based on fairseq: https://github.com/facebookresearch/fa... | 19,530 | 46.753056 | 170 | py |
SpeechT5 | SpeechT5-main/VATLM/vat_hubert/vathubert/models/resnet.py | # ----------------------------------------------------------------------------
# VatLM: Visual-Audio-Text Pre-Training with Unified Masked Prediction for Speech Representation Learning
# Github source: https://github.com/microsoft/SpeechT5/tree/main/VATLM
# Code based on fairseq: https://github.com/facebookresearch/fa... | 6,509 | 36.630058 | 129 | py |
SpeechT5 | SpeechT5-main/VATLM/vat_hubert/vathubert/models/utils.py | # ----------------------------------------------------------------------------
# VatLM: Visual-Audio-Text Pre-Training with Unified Masked Prediction for Speech Representation Learning
# Github source: https://github.com/microsoft/SpeechT5/tree/main/VATLM
# Code based on fairseq: https://github.com/facebookresearch/fa... | 10,431 | 33.543046 | 143 | py |
SpeechT5 | SpeechT5-main/VATLM/vat_hubert/vathubert/models/vathubert.py | # ----------------------------------------------------------------------------
# VatLM: Visual-Audio-Text Pre-Training with Unified Masked Prediction for Speech Representation Learning
# Github source: https://github.com/microsoft/SpeechT5/tree/main/VATLM
# Code based on fairseq: https://github.com/facebookresearch/fa... | 34,915 | 39.981221 | 234 | py |
SpeechT5 | SpeechT5-main/VATLM/vat_hubert/vathubert/models/decoder.py | # ----------------------------------------------------------------------------
# VatLM: Visual-Audio-Text Pre-Training with Unified Masked Prediction for Speech Representation Learning
# Github source: https://github.com/microsoft/SpeechT5/tree/main/VATLM
# Code based on fairseq: https://github.com/facebookresearch/fa... | 8,589 | 33.777328 | 129 | py |
SpeechT5 | SpeechT5-main/VATLM/vat_hubert/vathubert/models/vathubert_asr.py | # ----------------------------------------------------------------------------
# VatLM: Visual-Audio-Text Pre-Training with Unified Masked Prediction for Speech Representation Learning
# Github source: https://github.com/microsoft/SpeechT5/tree/main/VATLM
# Code based on fairseq: https://github.com/facebookresearch/fa... | 17,027 | 34.327801 | 129 | py |
SpeechT5 | SpeechT5-main/VATLM/vat_hubert/vathubert/data/texthubert_dataset.py | # ----------------------------------------------------------------------------
# VatLM: Visual-Audio-Text Pre-Training with Unified Masked Prediction for Speech Representation Learning
# Github source: https://github.com/microsoft/SpeechT5/tree/main/VATLM
# Code based on fairseq: https://github.com/facebookresearch/fa... | 9,995 | 32.209302 | 174 | py |
SpeechT5 | SpeechT5-main/VATLM/vat_hubert/vathubert/data/audiohubert_dataset.py | # ----------------------------------------------------------------------------
# VatLM: Visual-Audio-Text Pre-Training with Unified Masked Prediction for Speech Representation Learning
# Github source: https://github.com/microsoft/SpeechT5/tree/main/VATLM
# Code based on fairseq: https://github.com/facebookresearch/fa... | 19,714 | 37.656863 | 209 | py |
SpeechT5 | SpeechT5-main/VATLM/vat_hubert/vathubert/data/onlyaudiohubert_dataset.py | # ----------------------------------------------------------------------------
# VatLM: Visual-Audio-Text Pre-Training with Unified Masked Prediction for Speech Representation Learning
# Github source: https://github.com/microsoft/SpeechT5/tree/main/VATLM
# Code based on fairseq: https://github.com/facebookresearch/fa... | 16,493 | 36.743707 | 209 | py |
SpeechT5 | SpeechT5-main/VATLM/vat_hubert/vathubert/data/utils.py | # ----------------------------------------------------------------------------
# VatLM: Visual-Audio-Text Pre-Training with Unified Masked Prediction for Speech Representation Learning
# Github source: https://github.com/microsoft/SpeechT5/tree/main/VATLM
# Code based on fairseq: https://github.com/facebookresearch/fa... | 10,430 | 33.654485 | 143 | py |
SpeechT5 | SpeechT5-main/VATLM/vat_hubert/vathubert/data/vathubert_dataset.py | # ----------------------------------------------------------------------------
# VatLM: Visual-Audio-Text Pre-Training with Unified Masked Prediction for Speech Representation Learning
# Github source: https://github.com/microsoft/SpeechT5/tree/main/VATLM
# Code based on fairseq: https://github.com/facebookresearch/fa... | 22,045 | 40.517891 | 216 | py |
SpeechT5 | SpeechT5-main/VATLM/vat_hubert/vathubert/tasks/vathubert_pretraining.py | # ----------------------------------------------------------------------------
# VatLM: Visual-Audio-Text Pre-Training with Unified Masked Prediction for Speech Representation Learning
# Github source: https://github.com/microsoft/SpeechT5/tree/main/VATLM
# Code based on fairseq: https://github.com/facebookresearch/fa... | 35,753 | 40.381944 | 188 | py |
tagan | tagan-master/test.py | import os
import argparse
import fastText
from PIL import Image
import cv2
import numpy as np
import torch
import torchvision.transforms as transforms
from torchvision.utils import save_image
from model import Generator
from data import split_sentence_into_words
parser = argparse.ArgumentParser()
parser.add_argumen... | 3,277 | 35.831461 | 159 | py |
tagan | tagan-master/model.py | import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
def init_weights(m):
if isinstance(m, nn.Conv2d) or isinstance(m, nn.Linear):
if m.weight.requires_grad:
m.weight.data.normal_(std=0.02)
if m.bias is not None and m.bias.requires_grad:
m.... | 8,931 | 32.961977 | 103 | py |
tagan | tagan-master/data.py | import os
import numpy as np
from PIL import Image
import nltk
from nltk.tokenize import RegexpTokenizer
import torch
import torch.utils.data as data
import torchvision.transforms as transforms
import torchfile
def split_sentence_into_words(sentence):
tokenizer = RegexpTokenizer(r'\w+')
return tokenizer.tok... | 5,850 | 36.748387 | 107 | py |
tagan | tagan-master/train.py | import os
import argparse
import visdom
import torch
import torch.nn.functional as F
from torch.utils.data import DataLoader
import torch.optim.lr_scheduler as lr_scheduler
import torchvision.transforms as transforms
from model import Generator, Discriminator
from data import ConvertCapVec, ReadFromVec
parser = arg... | 8,210 | 39.648515 | 159 | py |
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