TTS datasets · ગુજરાતી
Gujarati 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 Gujarati, where murmured (breathy-voiced) vowels are phonemic in gujarati and are absent from most shared indic acoustic models.
- Language
- Gujarati (gu-IN)
- Dialects covered
- 5
- Typical programme
- 250-1,000 hours
- Cities
- Ahmedabad, Surat, Vadodara
What changes when the language is Gujarati
The service specification stays constant across languages; the linguistics do not. For Gujarati, three things drive the design of a tts datasets programme.
- Murmured (breathy-voiced) vowels are phonemic in Gujarati and are absent from most shared Indic acoustic models
- Dialect spread: Standard (Amdavadi), Surti, Kathiyawadi, Kachchhi-influenced
- Business and trade vocabulary is heavily English; Gujarati diaspora speech adds further English structure. Specify whether diaspora speakers are in or out of scope.
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 |
Gujarati cohort design
Surat and Rajkot recruitment is essential for dialect coverage; Ahmedabad-only cohorts sound uniform.
| Dimension | Typical split | Why it matters for Gujarati |
|---|---|---|
| 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 Gujarati forms that younger urban speakers have lost |
| Region | Gujarat / Daman & Diu / Dadra & Nagar Haveli and others | Dialect spread across 5 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
Gujarati-specific quality rules
- Breathy vowels have no consistent orthographic marking
- Kathiyawadi lexical items replaced with standard equivalents
- Numerals and currency in trade speech written inconsistently
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 Gujarati tts datasets engagement: 250 hours from 500 speakers, 50/50 gender, ages 18-45, spread across Ahmedabad, Surat, Vadodara, 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
Very little spontaneous Gujarati audio exists publicly; nearly all of it is Ahmedabad read speech.
Frequently asked
How much does Gujarati tts datasets cost?
Priced per delivered hour or unit against a written spec. The cost drivers for Gujarati are dialect spread, demographic narrowness and recording condition, in that order.
Which Gujarati dialects are included?
By default Standard (Amdavadi), Surti, Kathiyawadi, Kachchhi-influenced and others, tagged per speaker. You can also commission a single-dialect corpus if you are targeting one region.
Can you deliver Gujarati 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 Gujarati programme take?
4-8 weeks for a 20-40 hour single-speaker voice build including casting.
Request a Gujarati tts datasets quote
Hours, speakers, dialects, deadline. Send what you have.