मराठी
Marathi general conversation
Two-speaker general conversation in Marathi, recorded on one channel with speakers labelled. 9 hours. Transcripts are time-aligned and written in Devanagari script, with English words kept as spoken.
- ASR
- Full duplex
- Turn-taking
- Voice agents
- Diarisation
- TTS
The full set, measured.
Figures measured from the delivered files.
- of audio
- 9 h
- 36 conversations
- audio files
- 36
- FLAC · 16 kHz · 16-bit
- transcribed words
- 74,091
- 10,932 turns
- one channel
- 36
- bandwidth
- telephone
- 24 of 36 files measured
- median SNR
- 37.8 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 3:11
Speaker 1
Male
Speaker 2
Male
Speakers
Across the whole dataset
- 40
- distinct voices
- 21 F · 15 M · 4 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
74,091 words in 10,932 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 63%
- The other 37%
- Speech 79%
- Overlap 4%
- Silence 17%
- Latin script 0%
- Native script 100%
- 15.6 min
- median conversation
- 36
- conversations
- 10.6
- turns a minute
- 129
- words a minute
Audio quality
Across the whole dataset, then in the sample conversations.
Clean across the set. Bandwidth telephone (4 kHz).
Audible room and line noise. Right for recognition and agents meant to work in the real world; not a voice-model source. Noise floor -74.9 dBFS, speech at -15.7 dBFS.
Wideband speech. The full range a 16 kHz recording can hold is present.
- Background3.48
- Speech3.00
- Overall2.55
Clipping in 3.00% 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 recognitionFitsTime-aligned transcripts in native script, English kept as spoken. 37.8 dB median SNR across the full set (60 dB in the sample conversations).
- Full-duplex speech to speechPartlyOne mixed channel. Turns are labelled, but overlapping speech cannot be separated, which these models need.
- Turn-taking and endpointingPartlyTurn boundaries come from the transcript, so gaps are approximate and overlap is marked, not separated.
- Voice agents for supportPartlyOpen conversation, not a support flow. Useful for language and prosody, not for task structure.
- Speaker diarisationFitsSpeaker-attributed segments across full conversations.
- Text to speechPartly37.8 dB median SNR across the full set (60 dB in the sample conversations): clean and wideband enough for conversational prosody data, though not a 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-MAR-001
- type
- speech · conversational · general
- language
- मराठी · Marathi · mr-IN
- hours
- 9 h
- channels
- One channel, speakers labelled in the transcript
- files
- 36 files · 36 conversationscounted across the full set
- layouts
- 36 mono conversationcounted across the full set
- audio
- FLAC · 16 kHz · 16-bitmeasured across the full set
- bandwidth
- telephone (4 kHz)9 telephone-band files
- snr
- 37.8 dB medianacross the full set
- release
- v1.0
- transcript
- time-aligned by segment · Devanagari script · delivered as JSON
- speakers
- 40 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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