Audio annotation · मराठी
Marathi Audio Annotation
Labelling of existing audio: speaker diarisation, emotion, intent, events, language identification and segment-level quality tagging, against your label schema. This page covers how that works specifically for Marathi, where retains the retroflex lateral ळ, which has no hindi or english equivalent and is frequently substituted with ल by non-native transcribers.
- Language
- Marathi (mr-IN)
- Dialects covered
- 6
- Typical programme
- 500-2,000 hours
- Cities
- Mumbai, Pune, Nagpur
What changes when the language is Marathi
The service specification stays constant across languages; the linguistics do not. For Marathi, three things drive the design of a audio annotation programme.
- Retains the retroflex lateral ळ, which has no Hindi or English equivalent and is frequently substituted with ल by non-native transcribers
- Dialect spread: Standard (Puneri), Varhadi (Vidarbha), Marathwadi, Konkani-influenced coastal Marathi
- Mumbai and Pune speech mixes Marathi, Hindi, and English in the same sentence. Marathi-only recordings collected in Pune under-represent the Mumbai reality of tri-lingual switching.
Technical specification
| Parameter | Standard |
|---|---|
| Label types | Diarisation, emotion, intent, events, language ID, quality |
| Granularity | Segment, utterance, or frame-level boundaries |
| Schema | Yours, or authored with you before work starts |
| Agreement | Multi-annotator overlap on a defined percentage |
| Tooling | Client tooling supported; otherwise our annotation workflow |
Marathi cohort design
A representative Marathi cohort should be split roughly 40% western Maharashtra, 25% Vidarbha, 20% Marathwada, 15% Konkan rather than concentrated in Pune.
| Dimension | Typical split | Why it matters for Marathi |
|---|---|---|
| Gender | 50 / 50 | Pitch range differences change acoustic model behaviour; unbalanced cohorts bias recognition |
| Age | 18-25: 30%, 26-40: 40%, 41-60: 30% | Older speakers retain conservative Marathi forms that younger urban speakers have lost |
| Region | Maharashtra / Goa / parts of Karnataka and others | Dialect spread across 6 recognised varieties |
| Education | Mixed, including below-graduate | Prompt-reading fluency correlates with education and skews prosody |
| Condition | Studio / quiet room / field | Match the noise profile of your deployment |
Process
- Schema definition and edge-case documentation
- Annotator training and gold-set calibration
- Production annotation with gold items seeded in
- Adjudication of disagreements by a senior reviewer
- Delivery with per-label agreement statistics
Marathi-specific quality rules
- ळ vs ल substitution by Hindi-trained transcribers
- Anusvara placement varies between conservative and modern orthography
- Varhadi verb endings get 'corrected' to standard forms unless the guide explicitly requires verbatim dialect transcription
Gold items are seeded throughout production so drift is caught during the run, not at delivery.
Deliverables
- Labelled data in your schema
- Gold set and calibration results
- Per-label agreement statistics
- Edge-case log
Worked example
A representative Marathi audio annotation engagement: 500 hours from 1,000 speakers, 50/50 gender, ages 18-45, spread across Mumbai, Pune, Nagpur, recorded to the specification above and delivered in WAV with a per-utterance manifest.
Timeline: Scoped per label complexity; simple diarisation runs at roughly 3-5x real time.
Where this data is missing today
Available Marathi speech data is dominated by standard Puneri read speech. Vidarbha, Marathwada, and coastal Konkan varieties are severely under-collected, which is exactly where deployed voice products lose accuracy.
Frequently asked
How much does Marathi audio annotation cost?
Priced per delivered hour or unit against a written spec. The cost drivers for Marathi are dialect spread, demographic narrowness and recording condition, in that order.
Which Marathi dialects are included?
By default Standard (Puneri), Varhadi (Vidarbha), Marathwadi, Konkani-influenced coastal Marathi and others, tagged per speaker. You can also commission a single-dialect corpus if you are targeting one region.
Can you deliver Marathi data in our format?
Yes. Labelled data in your schema is the default, but naming, schema and directory structure follow your pipeline.
How long does a Marathi programme take?
Scoped per label complexity; simple diarisation runs at roughly 3-5x real time.
Request a Marathi audio annotation quote
Hours, speakers, dialects, deadline. Send what you have.