हिन्दी
Hindi speech recognition utterances
Hindi speech recognition data: 218,428 single-speaker utterance clips of conversational Hindi, call-centre and everyday, each with its own time-aligned transcript in Devanagari script, English words kept as spoken. 350 hours of audio, 3,377,105 transcribed words.
- ASR
- Full duplex
- Turn-taking
- Voice agents
- Diarisation
- TTS
The full set, measured.
Figures measured from the delivered files.
- of audio
- 350 h
- 218,428 utterances
- audio files
- 218,428
- FLAC · 16 kHz · 16-bit
- transcribed words
- 3.4 M
- 218,428 turns
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 · 6 of 142 clips
Utterance clips, as delivered
One speaker, one utterance, its transcript beneath. Press play on any line.
thank you so much ma'am phone करने के लिए धन्यवाद
Female3.1 s92 dB SNR
हाँ! हाँ-हाँ
Female2.8 s86 dB SNR
तो आप्ता के वजह से तो इतनी सारी आफत पड़ती हैं की सब जनता परेशान है.
Male7.0 s73 dB SNR
आपकी गाड़ी जो हैं उसको amount मिलेगा आपका जो भी गाड़ी पे नुकसान आ रहा हैं ठीक हैं उसके ऊपर आपको insurance मिलेगा आपको कुछ होता हैं तो आपका insurance नहीं मिलेगा.
Male11.6 s72 dB SNR
आपको दस अंकों वाला बताना है ma'am
Male3.1 s68 dB SNR
ma'am उनका नाम अजित होंगा. नंबर मे आपको नहीं दे सकता ma'am.
Male3.3 s67 dB SNR
Speakers
Across the whole dataset
- 667
- distinct voices
- 325 F · 330 M · 12 unknown
- by gender
Voices are grouped from the recordings themselves, so the count is an estimate. Gender is labelled, with voice-model checks.
Voices in the sample
In the transcripts
3,377,105 words across 218,428 utterances
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.
One transcript per clip
Each clip carries its own transcript with its start and end time in the source recording, its speaker id and gender. No word-level timestamps.
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.
Start with a sample. License the full set when it fits.
The full set
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- 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 recognitionFitsBuilt for it: 218,428 utterance clips, each with its own time-aligned transcript, noise left as recorded.
- Full-duplex speech to speechNoClips are single utterances; the conversation timing is not in this dataset.
- Turn-takingNoNo turn structure: each clip is one utterance.
- Voice agentsPartlyGood for the recogniser in an agent; the dialogue itself is not here.
- DiarisationNoEach clip holds one speaker.
- 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-003
- type
- speech · utterances for ASR · call centre and general
- language
- हिन्दी · Hindi · hi-IN
- hours
- 350 h
- channels
- One channel, one speaker per clip
- files
- 218,428 files · 218,428 utterancescounted across the full set
- audio
- FLAC · 16 kHz · 16-bitmeasured across the full set
- release
- v1.0
- transcript
- time-aligned by segment · Devanagari script
- speakers
- 667 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
Not exactly what you need?
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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