हिन्दी
Hindi speaker diarization
Hindi speaker diarization data: whole call-centre and everyday two-speaker conversations with every speaker turn marked, 432,929 turns in RTTM, for training and scoring who spoke when. 321 hours across 1,394 recordings.
- ASR
- Full duplex
- Turn-taking
- Voice agents
- Diarisation
- TTS
The full set, measured.
Figures measured from the delivered files.
- of audio
- 321 h
- 432,929 speaker turns
- audio files
- 1,394
- FLAC · 16 kHz · 16-bit
- transcribed words
- 2.9 M
- 208,826 turns
- one channel
- 1,394
- bandwidth
- wideband
- every file measured
- median SNR
- 30.3 dB
- clean
Personal data. Numbers of 4 or more digits, digit strings spoken as words, and email addresses are masked as [pii] in text and replaced by a tone in audio. First names are not masked.
Sample 1 of 4
Open conversation
0:44 from a 4-minute conversation, at 0:31
Speaker 1
No details
Speaker 2
No details
Speakers
Across the whole dataset
- 619
- distinct voices
- 305 F · 303 M · 11 unknown
- by gender
Voices are grouped from the recordings themselves, so the count is an estimate. Gender is labelled, with voice-model checks.
In the transcripts
2,925,696 words in 208,826 turns
Devanagari script, English as spoken
Words are written in the script the speaker would use; English words stay in Latin script where they were said, so code-mixing is preserved as spoken.
Aligned per segment, speakers labelled
One segment per turn with its start and end time and the speaker, no word-level timestamps. Overlaps are kept as overlapping segments.
One tag vocabulary, in square brackets
Anything that is not a spoken word is a bracket tag from a single list: [pii] for masked personal data, [filler] for hesitations, [overlap] where both speak at once. Plain-text fields carry no tags.
Personal data masked, in text and audio
Numbers of 4 or more digits, digit strings spoken as words, and email addresses are masked as [pii] in text and replaced by a tone in audio. First names are not masked.
Delivery layouts are on formats.
Conversation profile
Across every conversation in the dataset
- Most-talking speaker 72%
- The other 28%
- Speech 70%
- Overlap 7%
- Silence 23%
- Latin script 17%
- Native script 83%
- 13.4 min
- median conversation
- 1,394
- conversations
- 7.5
- turns a minute
- 152
- words a minute
Audio quality
Across the whole dataset, then in the sample conversations.
Clean across the set. Bandwidth wideband (8 kHz).
Quiet rooms and close microphones. Fine for any speech task, including voice models. Noise floor -70.2 dBFS, speech at -16.8 dBFS.
Wideband speech. The full range a 16 kHz recording can hold is present.
- Background3.42
- Speech3.04
- Overall2.56
Clipping in 0.01% of the audio.
Start with a sample. License the full set when it fits.
The full set
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Say what you will train and how many hours you need. We reply by email with the licence terms and a price for this set.
- Licensed per use, priced per dataset
- Delivered in the layout your training stack reads
- Every figure on this page comes with the delivery
Sample first
Get a sample by email
Ten to thirty minutes of this dataset, with transcripts, in the same files and fields as the full delivery. The link works for 24 hours.
- Real recordings from this dataset
- Same layout, naming and fields as the full set
- For evaluation only
What it is good for.
- Speech recognitionPartlyWhole recordings with time-aligned transcripts; built for who spoke when, not for utterance-level training.
- Full-duplex speech to speechNoSingle-channel recordings.
- Turn-takingFitsEvery change of speaker is marked: 432,929 turns.
- Voice agentsPartlyTeaches an agent who is speaking, and when.
- DiarisationFitsBuilt for it: RTTM turn files for 1,394 recordings.
- Text to speechNoConversational call audio, not studio voice.
Specification
Figures marked measured were read from the audio. Anything we cannot confirm is listed under Ask us about.
Machine-readable
- id
- LK-SP-HIN-004
- type
- speech · speaker diarization · call centre and general
- language
- हिन्दी · Hindi · hi-IN
- hours
- 321 h
- channels
- One channel, speakers labelled in the transcript
- files
- 1,394 files · 432,929 speaker turnscounted across the full set
- layouts
- 1,394 mono conversationcounted across the full set
- audio
- FLAC · 16 kHz · 16-bitmeasured across the full set
- bandwidth
- wideband (8 kHz)
- snr
- 30.3 dB medianacross the full set
- release
- v1.0
- transcript
- time-aligned by segment · Devanagari script · delivered as JSON
- speakers
- 619 across the full set · id and gender per speaker
- pii
- Numbers of 4 or more digits, digit strings spoken as words, and email addresses are masked as [pii] in text and replaced by a tone in audio. First names are not masked.
- source
- Recorded for the dataset
- review
- Every recording has a complete, segment-level transcript
- personal data
- Redacted
- licence
- Customquoted per use
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A different domain, more hours, another channel layout or speaker mix. Tell us, and it becomes a collection built to the same specification.
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