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jml2026/conversational-speech-dataset

🎙️ 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… See the full description on the dataset page: https://huggingface.co/datasets/jml2026/conversational-speech-dataset.

sourceHugging Facecc-by-nc-4.0updated 6mo agoView on Hugging Face

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Dataset Card

🎙️ Silencio Network: Conversational Speech Dataset

![Website](https://www.silencioai.com) ![Contact](mailto:sofia@silencioai.com) ![Data Available](mailto:sofia@silencioai.com)

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

python

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.