--- pretty_name: "Tamil general conversation" language: - ta language_details: ta-IN license: other license_name: lokah-custom license_link: https://kenpathlabs.com/lokah/licensing task_categories: - automatic-speech-recognition size_categories: - 1K Two-speaker general conversation in Tamil, recorded on one channel with speakers labelled. 105 hours. Transcripts are time-aligned and written in Tamil script, with English words kept as spoken. `LK-SP-TAM-003` · [Get a quote](https://kenpathlabs.com/lokah/datasets/tamil-general-conversation#contact) · [Record as JSON](https://kenpathlabs.com/api/lokah/datasets/tamil-general-conversation) · [Croissant](https://kenpathlabs.com/lokah/datasets/tamil-general-conversation/croissant.json) Two-speaker general conversation in Tamil, recorded on one channel with speakers labelled. 105 hours. Transcripts are time-aligned and written in Tamil script, with English words kept as spoken. Measured from 6 sample conversations (25 minutes): 16 kHz, 16-bit PCM WAV, one mono file per conversation. Across them 36% of transcript words are English written in Latin script, 6% of the time is silence, and there are 384 turns. 12 distinct voices in the sample (9 female, 3 male). Every recording has a complete, segment-level transcript. Personal data: redacted. Licence: custom, quoted per use. ## Specification | Field | Value | Note | | --- | --- | --- | | id | LK-SP-TAM-003 | | | type | speech · conversational · general | | | language | தமிழ் · Tamil · ta-IN | | | hours | 105 h | | | channels | One channel, speakers labelled in the transcript | | | files | 464 files · 464 conversations | counted across the full set | | layouts | 464 mono conversation | counted across the full set | | audio | FLAC · 16 kHz · 16-bit | measured across the full set | | bandwidth | wideband (8 kHz) | no telephone-band files | | snr | 25.7 dB median | across the full set | | release | v1.0 | | | transcript | time-aligned by segment · Tamil script · delivered as JSON | | | speakers | 279 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 | Custom | quoted per use | ## What it is good for | Task | Fit | Why | | --- | --- | --- | | Speech recognition | yes | Time-aligned transcripts in native script, English kept as spoken. 25.7 dB median SNR across the full set, wideband (42.1 dB in the sample conversations). | | Full-duplex speech to speech | partly | One mixed channel. Turns are labelled, but overlapping speech cannot be separated, which these models need. | | Turn-taking and endpointing | partly | Turn boundaries come from the transcript, so gaps are approximate and overlap is marked, not separated. | | Voice agents for support | partly | Open conversation, not a support flow. Useful for language and prosody, not for task structure. | | Speaker diarisation | yes | Speaker-attributed segments across full conversations. | | Text to speech | no | 25.7 dB median SNR across the full set, wideband (42.1 dB in the sample conversations): too much background for a voice model. | ## Conversation profile Measured from 6 full conversations (25 minutes, 384 turns, 3333 words). | Measure | Value | | --- | --- | | Talk time, speaker 1 / speaker 2 | 59% / 41% | | Silence | 6% | | Overlapping speech | 0% | | English words, written in Latin script | 36% | | Speaking rate | 143.7 words a minute | One mixed channel: segment edges were placed by an annotator, so turn timing is approximate and overlap is an event label. ## Audio quality Frame RMS at 20 ms on the channels mixed to mono. Noise floor is the 10th percentile, speech level the 90th; SNR is their difference. Bandwidth is the highest frequency at which speech still rises 6 dB above the recording's own noise spectrum. | Measure | Value | Reading | | --- | --- | --- | | Speech above noise floor (SNR) | 42.1 dB (29.4 to 56.4) | clean | | Noise floor | -60.2 dBFS | | | Effective bandwidth | 8.0 kHz | wideband (8 kHz) across the full set | | Clipping | 0.000% of samples | | | DNSMOS P.835 (1 to 5) | background 3, speech 3, overall 2.33 | listener-rated quality, estimated | ## Samples 4 public excerpts, 44.686 seconds each, from different conversations in the dataset. - Sample 1, Open conversation, from a 4-minute conversation (Speaker 1: female; Speaker 2: female): [audio](https://kenpathlabs.com/lokah-samples/tamil-general-conversation--1.m4a) · [segments](https://kenpathlabs.com/lokah-samples/tamil-general-conversation--1.segments.json) - Sample 2, Open conversation, from a 4-minute conversation (Speaker 1: male; Speaker 2: female): [audio](https://kenpathlabs.com/lokah-samples/tamil-general-conversation--2.m4a) · [segments](https://kenpathlabs.com/lokah-samples/tamil-general-conversation--2.segments.json) - Sample 3, Open conversation, from a 4-minute conversation (Speaker 1: male; Speaker 2: female): [audio](https://kenpathlabs.com/lokah-samples/tamil-general-conversation--3.m4a) · [segments](https://kenpathlabs.com/lokah-samples/tamil-general-conversation--3.segments.json) - Sample 4, Open conversation, from a 4-minute conversation (Speaker 1: female; Speaker 2: male): [audio](https://kenpathlabs.com/lokah-samples/tamil-general-conversation--4.m4a) · [segments](https://kenpathlabs.com/lokah-samples/tamil-general-conversation--4.segments.json) ### Sample 1 transcript Open conversation, starting at 0:00. Audio sha256 `5f6ca60c1d7ed0e2558383d4cbe91fab14a5be6c3f80729d49c058744a8fbba7`. | Start | Speaker | Text | | --- | --- | --- | | 0:00 | Speaker 1 | hello. | | 0:01 | Speaker 2 | hello. | | 0:02 | Speaker 1 | [overlap] [filler] யாரு பேசுறீங்க [overlap] hello, good morning mam. | | 0:04 | Speaker 2 | நான் தியா, நாங்க அபிராமி finance ல இருந்து பேசுறோம் mam. | | 0:07 | Speaker 1 | yeah, சொல்லுங்க mam. | | 0:09 | Speaker 2 | [filler], mam உங்களோட name அ நாங்க verify பண்ணிக்கிறேன் mam. | | 0:13 | Speaker 1 | [overlap] yeah, [unintelligible] [overlap] உங்களோட name வந்து | | 0:14 | Speaker 2 | பிரீத்தி சிவக்குமார் தான mam? | | 0:16 | Speaker 1 | அ yes mam. | | 0:17 | Speaker 2 | OK mam, உங்களோட place வந்து மதுரை தான mam? | | 0:21 | Speaker 1 | [filler] ஆமா. | | 0:21 | Speaker 2 | [filler] OK mam, உங்களோட address நான் சொல்றேன் mam correct டானு பாத்துக்கோங்க mam. | | 0:26 | Speaker 1 | [filler] OK mam சொல்லுங்க. | | 0:27 | Speaker 2 | [suppressed] twenty nine six bar | | 0:29 | Speaker 1 | [filler] | | 0:30 | Speaker 2 | [suppressed] அம்மன் கோவில், north street மதுரை correct அ mam. | | 0:33 | Speaker 1 | ம் correct மா. | | 0:34 | Speaker 2 | [filler] OK mam, mam உங்களுக்கு loan எடுக்குறதுக்கு ஏதாவது idea இருக்கா mam? | | 0:40 | Speaker 1 | ஆமா, அது அந்த மாதிரி ஒரு idea இருந்தனால தான் உங்க website பாத்தேன் நானு. | ## Licence Licence: custom, quoted per use (training, evaluation or both; internal or commercial; exclusive or not). 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