--- pretty_name: "Marathi general conversation" language: - mr language_details: mr-IN license: other license_name: lokah-custom license_link: https://kenpathlabs.com/lokah/licensing task_categories: - automatic-speech-recognition size_categories: - n<1K tags: - Marathi speech dataset - conversational speech - spontaneous conversation - speech recognition training data - code-switching - mar --- # 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. `LK-SP-MAR-001` · [Get a quote](https://kenpathlabs.com/lokah/datasets/marathi-general-conversation#contact) · [Record as JSON](https://kenpathlabs.com/api/lokah/datasets/marathi-general-conversation) · [Croissant](https://kenpathlabs.com/lokah/datasets/marathi-general-conversation/croissant.json) 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. Measured from 6 sample conversations (25 minutes): 16 kHz, 16-bit PCM WAV, one mono file per conversation. Across them 0% of transcript words are English written in Latin script, 17% of the time is silence, and there are 428 turns. 12 distinct voices in the sample (6 male, 5 female, 1 unknown). Every recording has a complete, segment-level transcript. Personal data: redacted. Licence: custom, quoted per use. ## Specification | Field | Value | Note | | --- | --- | --- | | 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 conversations | counted across the full set | | layouts | 36 mono conversation | counted across the full set | | audio | FLAC · 16 kHz · 16-bit | measured across the full set | | bandwidth | telephone (4 kHz) | 9 telephone-band files | | snr | 37.8 dB median | across 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 | 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. 37.8 dB median SNR across the full set (60 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 | partly | 37.8 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. | ## Conversation profile Measured from 6 full conversations (25 minutes, 428 turns, 2877 words). | Measure | Value | | --- | --- | | Talk time, speaker 1 / speaker 2 | 49% / 51% | | Silence | 17% | | Overlapping speech | 2% | | English words, written in Latin script | 0% | | Speaking rate | 138.3 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) | 60 dB (48.5 to 102.1) | some background | | Noise floor | -74.9 dBFS | | | Effective bandwidth | 8.0 kHz | telephone (4 kHz) across the full set | | Clipping | 3.004% of samples | | | DNSMOS P.835 (1 to 5) | background 3.48, speech 3, overall 2.55 | listener-rated quality, estimated | ## Samples 4 public excerpts, 44.767 seconds each, from different conversations in the dataset. - Sample 1, Open conversation, from a 4-minute conversation (Speaker 1: male; Speaker 2: male): [audio](https://kenpathlabs.com/lokah-samples/marathi-general-conversation--1.m4a) · [segments](https://kenpathlabs.com/lokah-samples/marathi-general-conversation--1.segments.json) - Sample 2, Open conversation, from a 4-minute conversation (Speaker 1: female; Speaker 2: male): [audio](https://kenpathlabs.com/lokah-samples/marathi-general-conversation--2.m4a) · [segments](https://kenpathlabs.com/lokah-samples/marathi-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/marathi-general-conversation--3.m4a) · [segments](https://kenpathlabs.com/lokah-samples/marathi-general-conversation--3.segments.json) - Sample 4, Open conversation, from a 4-minute conversation (Speaker 1: female; Speaker 2: gender unknown): [audio](https://kenpathlabs.com/lokah-samples/marathi-general-conversation--4.m4a) · [segments](https://kenpathlabs.com/lokah-samples/marathi-general-conversation--4.segments.json) ### Sample 1 transcript Open conversation, starting at 3:11. Audio sha256 `afdd448433a6ee118b59e364eea170bac31298b30a9bad1d0c3bd4234233361d`. | Start | Speaker | Text | | --- | --- | --- | | 0:00 | Speaker 1 | हा | | 0:00 | Speaker 2 | मोठं असत थोडं | | 0:01 | Speaker 1 | हा | | 0:02 | Speaker 2 | त्याच्यामध्ये पण बऱ्याच [unclear] येतात. हि दोन्ही एम प्रकार चाललेत. दोन्ही जाती उत्तमेत. | | 0:08 | Speaker 1 | हा | | 0:08 | Speaker 2 | काही प्रॉब्लेम नाही. | | 0:10 | Speaker 1 | ह्ह | | 0:10 | Speaker 2 | पण हि कशी थोडी मम जी चार नंबर जो असतो ना विषय | | 0:15 | Speaker 1 | हा | | 0:16 | Speaker 2 | ते थोडी आकाराला थोडी कमी असते. | | 0:19 | Speaker 1 | हा म्हणजे त्याची साईझ कमी असते. | | 0:21 | Speaker 2 | साईझ कमी असते आणि पण ती भरगोस लागते | | 0:25 | Speaker 1 | भरगोस लागते हा | | 0:27 | Speaker 2 | [unclear] एका घडला जवळ जवळ दहा दहा पंधरा पंधरा बिया असतात काजू मध्ये [unclear] असतात. | | 0:31 | Speaker 1 | अच्छा अच्छा हा हा | | 0:33 | Speaker 2 | आणि अअ वेंगुर्ला सातचा तर काही प्रश्नच नाही ती एकदम जाडी ब | | 0:38 | Speaker 2 | म मजबूत बी असते ती | | 0:40 | Speaker 1 | हा मोठी असते | | 0:41 | Speaker 1 | हा फल ते एकदम मोठं असतं. | | 0:43 | Speaker 2 | हा बरोबर | ## Licence Licence: custom, quoted per use (training, evaluation or both; internal or commercial; exclusive or not). 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