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Datasets:
tomas-gajarsky
/
speech-commands-lt

Tasks:
Audio Classification
Modalities:
Audio
Text
Formats:
parquet
Languages:
English
Size:
100K - 1M
ArXiv:
Tags:
long-tail
imbalanced
speech-commands
Libraries:
Datasets
Dask
Polars
License:
Dataset card Data Studio Files
xet
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1
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Auto-converted to Parquet Duplicate
file
stringlengths
24
31
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0.28
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35 classes
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2 classes
speaker_id
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Speech Commands-LT (Long Tail)

Long-tail variants of Google Speech Commands v0.02 for benchmarking imbalanced audio classification.

Dataset Summary

Speech Commands v0.02 (Warden, 2018) contains 35 spoken word classes with ~1,200-3,200 samples each. This dataset applies exponential decay to the training set to create long-tail distributions with varying imbalance ratios, simulating real-world class imbalance in audio classification.

The _silence_ class (label 35) is removed. Validation and test sets remain balanced for fair evaluation.

Configs

Config Imbalance Ratio Train Samples Head Count Tail Count
r-10 10x 44,954 3,228 325
r-13 13x 41,496 3,228 249
r-20 20x 36,729 3,228 162
r-50 50x 29,330 3,228 64

All configs share the same validation (9,981) and test (4,890) sets.

Features

  • : Audio waveform (16kHz, ~1 second WAV clips)
  • : ClassLabel (35 classes)
  • , , , : metadata

Usage

Long-Tail Construction

Exponential decay is applied per class:

where is the imbalance ratio, , and is the largest class count. Random seed 42 is used for reproducible subsampling.

Source

Derived from beeneptune/speech_commands (parquet conversion of google/speech_commands v0.02).

Original paper: Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition (Warden, 2018)

License

CC BY 4.0 (same as the original Google Speech Commands dataset)
Downloads last month
46
Number of rows:
159,169
Total file size:
6.08 GB

Paper for tomas-gajarsky/speech-commands-lt