--- pretty_name: "Hindi call-centre conversations, insurance" language: - hi language_details: hi-IN license: other license_name: lokah-custom license_link: https://kenpathlabs.com/lokah/licensing task_categories: - audio-to-audio - automatic-speech-recognition size_categories: - 1K Scripted call-centre conversations in Hindi, insurance, recorded with each speaker on a separate channel. 356 hours. Transcripts are time-aligned and written in Devanagari script, with English words kept as spoken. Layouts across the set: 1,135 two-channel, 710 one side of a call. `LK-SP-HIN-001` · [Get a quote](https://kenpathlabs.com/lokah/datasets/hindi-call-centre-insurance#contact) · [Record as JSON](https://kenpathlabs.com/api/lokah/datasets/hindi-call-centre-insurance) · [Croissant](https://kenpathlabs.com/lokah/datasets/hindi-call-centre-insurance/croissant.json) Scripted call-centre conversations in Hindi, insurance, recorded with each speaker on a separate channel. 356 hours. Transcripts are time-aligned and written in Devanagari script, with English words kept as spoken. Layouts across the set: 1,135 two-channel, 710 one side of a call. Measured from 6 sample conversations (25 minutes): 16 kHz, 16-bit PCM WAV, two mono files per conversation. Across them 17% of transcript words are English written in Latin script, 12% of the time is silence, and there are 236 turns. 12 distinct voices in the sample (3 male, 9 female). Every recording has a complete, segment-level transcript. Personal data: redacted. Licence: custom, quoted per use. ## Specification | Field | Value | Note | | --- | --- | --- | | id | LK-SP-HIN-001 | | | type | speech · conversational · call centre | | | language | हिन्दी · Hindi · hi-IN | | | hours | 356 h | | | channels | Two channels, one per speaker | | | files | 1,845 files · 1,845 conversations | counted across the full set | | layouts | 1,135 two-channel, 710 one side of a call | 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 | 33.7 dB median | across the full set | | release | v1.0 | | | transcript | time-aligned by segment · Devanagari script · delivered as JSON | | | speakers | 490 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. 33.7 dB median SNR across the full set, wideband (53.3 dB in the sample conversations). | | Full-duplex speech to speech | yes | Each speaker on a separate channel, so overlap, backchannels and turn timing survive. Moshi and PersonaPlex train on exactly this layout. | | Turn-taking and endpointing | yes | Gaps and overlaps at every change of speaker are measured from the two channels; see the profile. | | Voice agents for support | yes | Agent and customer turns in a real support flow. | | Speaker diarisation | yes | Speaker-attributed segments across full conversations. | | Text to speech | partly | 33.7 dB median SNR across the full set, wideband (53.3 dB in the sample conversations): clean and wideband enough for conversational prosody data, though not a studio voice. | ## Conversation profile Measured from 6 full conversations (25 minutes, 236 turns, 4074 words). | Measure | Value | | --- | --- | | Talk time, speaker 1 / speaker 2 | 56% / 44% | | Silence | 18% | | Overlapping speech | 6% | | English words, written in Latin script | 17% | | Speaking rate | 188 words a minute | ### Turn-taking, measured from the two channels Voice activity detected on each channel at 10 ms; IPUs bounded by more than 200 ms of silence; talkspurts under 90 ms dropped. | Per minute | This dataset | Fisher corpus | | --- | --- | --- | | Inter-pausal units | 23 | 21.6 | | Pauses | 10.5 | 7 | | Gaps | 5 | 7.5 | | Overlaps | 7.3 | 6.5 | | Backchannels | 4.3 | not reported | Floor-transfer offset: median +0.16 s, 10th to 90th percentile -0.41 s to +1.49 s. 33% of 186 changes of speaker were overlapped. Channel isolation: -40.7 dB. ## 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) | 53.3 dB (30 to 70.1) | clean | | Noise floor | -77.5 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 3.56, speech 3.08, overall 2.59 | listener-rated quality, estimated | ## Samples 4 public excerpts, 32.52 seconds each, from different conversations in the dataset. - Sample 1, Call-centre conversation, from a 4-minute conversation (Speaker 1: female; Speaker 2: female): [audio](https://kenpathlabs.com/lokah-samples/hindi-call-centre-insurance--1.m4a) · [segments](https://kenpathlabs.com/lokah-samples/hindi-call-centre-insurance--1.segments.json) - Sample 2, Call-centre conversation, from a 4-minute conversation (Speaker 1: male; Speaker 2: female): [audio](https://kenpathlabs.com/lokah-samples/hindi-call-centre-insurance--2.m4a) · [segments](https://kenpathlabs.com/lokah-samples/hindi-call-centre-insurance--2.segments.json) - Sample 3, Call-centre conversation, from a 4-minute conversation (Speaker 1: female; Speaker 2: female): [audio](https://kenpathlabs.com/lokah-samples/hindi-call-centre-insurance--3.m4a) · [segments](https://kenpathlabs.com/lokah-samples/hindi-call-centre-insurance--3.segments.json) - Sample 4, Call-centre conversation, from a 4-minute conversation (Speaker 1: female; Speaker 2: female): [audio](https://kenpathlabs.com/lokah-samples/hindi-call-centre-insurance--4.m4a) · [segments](https://kenpathlabs.com/lokah-samples/hindi-call-centre-insurance--4.segments.json) ### Sample 1 transcript Call-centre conversation, starting at 0:00. Stereo: left channel is speaker 1, right channel is speaker 2. Audio sha256 `5afb5f5e853e5673b2aab82375b865d9e96a62cf060dd765cd536010f71669e1`. | Start | Speaker | Text | | --- | --- | --- | | 0:00 | Speaker 1 | hello | | 0:01 | Speaker 2 | hello | | 0:02 | Speaker 1 | OK ma'am आप कविता बात कर रहे हो | | 0:05 | Speaker 2 | yes kavita spiking आप कोन बात कर रहे हो | | 0:09 | Speaker 1 | OK ma'am में अर्पित बात कर रही हूँ | | 0:12 | Speaker 2 | हाँजी बोलिए | | 0:13 | Speaker 1 | मेने आपको न car insurance के बारे मे details देने के लिए call किया है | | 0:19 | Speaker 2 | OK आ बोलिए | | 0:22 | Speaker 1 | OK ma'am तो आपके पास car insurance है या फिर आपको renew करवन है है या फीर आपको new लेना है | | 0:29 | Speaker 2 | आ actually मुझे renew करवना है | ## Licence Licence: custom, quoted per use (training, evaluation or both; internal or commercial; exclusive or not). 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