ASR datasets · ગુજરાતી
Gujarati ASR Training Data
Transcribed speech corpora built to train and evaluate automatic speech recognition, with verbatim transcription, timestamps and per-token language tagging where code-mixing occurs. 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 asr 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 |
|---|---|
| Audio | 16 kHz or 48 kHz PCM WAV |
| Transcription | Verbatim, including disfluencies, false starts and fillers |
| Timestamps | Utterance level by default; word level on request |
| Tagging | Noise, overlap, unintelligible, foreign-language and code-switch tags |
| Normalisation | Raw and normalised text columns delivered separately |
| Split | Train/dev/test splits with no speaker leakage across splits |
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
- Style guide authored per language, covering numerals, loanwords, script and disfluency rules
- Transcriber calibration round with inter-annotator agreement measurement
- First-pass transcription
- Second-pass native review
- Automated consistency checks against the style guide
- Split generation with speaker-disjoint partitions
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
Agreement is measured, not assumed. We report word-level agreement on a held-out sample so you can judge label quality before training on it.
Deliverables
- Audio plus aligned transcripts (JSON/TSV, or your schema)
- Style guide as delivered documentation
- Inter-annotator agreement report
- Speaker-disjoint train/dev/test splits
Worked example
A representative Gujarati asr 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: Transcription adds roughly 1-2 weeks per 100 hours after recording, per language.
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 asr 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. Audio plus aligned transcripts (JSON/TSV, or your schema) is the default, but naming, schema and directory structure follow your pipeline.
How long does a Gujarati programme take?
Transcription adds roughly 1-2 weeks per 100 hours after recording, per language.
Request a Gujarati asr datasets quote
Hours, speakers, dialects, deadline. Send what you have.