README.md

metadata

license: cc-by-nc-4.0
language:
  - en
task_categories:
  - automatic-speech-recognition
  - audio-classification
tags:
  - voice-ai
  - speech-data
  - conversational-ai
  - real-world-audio
  - crowdsourced
  - multi-speaker
  - meeting-transcription
pretty_name: 🎙️ Silencio Conversational Speech Dataset
configs:
  - config_name: conversational_english
    data_files:
      - split: conversations
        path: conversational_english/conversations/**
size_categories:
  - n<1K

🎙️ Silencio Network: Conversational Speech Dataset

---

Overview

Sample conversational speech data from Silencio Network's crowdsourced voice AI platform. This dataset contains multi-speaker meeting recordings with word-level transcripts, speaker diarization, and rich demographic metadata.

Each row represents one participant in a meeting and includes 3 audio files:

Audio Column	Description	Format
file_name (speaker audio)	Individual participant's isolated recording	WAV
full_meeting_single_channel	Full meeting mixed to single channel	MP3
full_meeting_multi_channel	Full meeting with separate speaker channels	WAV

Plus word-level meeting transcripts with speaker turns and timestamps.

Dataset Summary

Config	Language	Meetings	Participants	Total Audio
conversational_english	English	4	8	135.9 MB

🚀 Quick Start

from datasets import load_dataset

# Load conversational English samples
ds = load_dataset("jml2026/conversational-speech-dataset", "conversational_english")

conversations = ds['conversations']

for sample in conversations:
    speaker_audio = sample['audio']          # Individual speaker recording
    meeting_audio = sample['full_meeting_single_channel']  # Full meeting
    transcript = sample['meeting_transcript_text']         # Plain text transcript
    print(f"Speaker {sample['speaker_id']} ({sample['gender']}, {sample['dialect']})")
    print(f"  Words spoken: {sample['speaker_word_count']}")
    print(f"  Meeting duration: {sample['meeting_duration']}s")

Schema

Column	Type	Description
file_name	Audio	Individual speaker's isolated audio recording
meeting_id	int	Unique meeting identifier
speaker_id	string	Deterministic UUID for the speaker
gender	string	Speaker gender
ethnicity	string	Speaker ethnicity
occupation	string	Speaker occupation
birth_place	string	Speaker birth place
dialect	string	Speaker dialect
year_of_birth	int	Speaker year of birth
years_at_birth_place	int	Years lived at birth place
languages_data	string	JSON array of languages spoken with proficiency levels
language	string	Meeting language
meeting_duration	int	Meeting duration in seconds
meeting_transcript_word_count	int	Total word count of the meeting transcript
speaker_word_count	int	Word count for this speaker
full_meeting_single_channel	Audio	Full meeting audio mixed to single channel
full_meeting_multi_channel	Audio	Full meeting audio with separate speaker channels
meeting_transcript_json	string	Full meeting transcript as JSON with word-level timestamps and speaker IDs
meeting_transcript_text	string	Plain text meeting transcript with speaker turns

About Silencio Network

Silencio Network operates a global platform with 500,000+ contributors across 130+ countries, collecting voice data through a mobile app. The full corpus exceeds 100,000 hours of validated speech data.

For access to the complete dataset or custom data collection, contact sofia@silencioai.com.

License

This sample dataset is released under CC BY-NC 4.0. Commercial licensing is available upon request.