TTS datasets · मराठी
Marathi TTS Training Data
Single-speaker and multi-speaker text-to-speech corpora with phonetically balanced scripts, consistent prosody, and studio-grade capture suitable for neural TTS. 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 tts datasets 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 |
|---|---|
| Sample rate | 48 kHz, 24-bit |
| Speaker consistency | Same booth, mic, distance and time-of-day banding across sessions |
| Script | Phonetically balanced, diphone-covering, domain-extended |
| Prosody | Neutral base set plus optional expressive styles |
| Alignment | Text-audio alignment verified per utterance |
| Silence | Leading/trailing silence trimmed to a fixed window |
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
- Script generation with phoneme and diphone coverage analysis
- Voice casting with client shortlisting from audition samples
- Multi-session recording with drift monitoring between sessions
- Alignment verification and mispronunciation review by a linguist
- Delivery with a coverage report
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
Session drift is the main TTS killer. Every session is compared acoustically against the reference session and re-recorded if it drifts.
Deliverables
- Studio WAV per utterance
- Verified transcripts and pronunciation notes
- Phoneme coverage report
- Voice talent licence and consent documentation
Worked example
A representative Marathi tts datasets 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: 4-8 weeks for a 20-40 hour single-speaker voice build including casting.
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 tts datasets 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. Studio WAV per utterance is the default, but naming, schema and directory structure follow your pipeline.
How long does a Marathi programme take?
4-8 weeks for a 20-40 hour single-speaker voice build including casting.
Request a Marathi tts datasets quote
Hours, speakers, dialects, deadline. Send what you have.