ASR datasets · অসমীয়া
Assamese 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 Assamese, where assamese has the voiceless velar fricative /x/, unique among major indian languages and routinely mis-modelled.
- Language
- Assamese (as-IN)
- Dialects covered
- 4
- Typical programme
- 100-500 hours
- Cities
- Guwahati, Jorhat, Dibrugarh
What changes when the language is Assamese
The service specification stays constant across languages; the linguistics do not. For Assamese, three things drive the design of a asr datasets programme.
- Assamese has the voiceless velar fricative /x/, unique among major Indian languages and routinely mis-modelled
- Dialect spread: Kamrupi, Goalparia, Upper Assam (Sibsagar standard), Barak Valley contact varieties
- Assamese speech mixes Hindi, English and Bengali, with substantial contact influence in Barak Valley and tea-garden communities.
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 |
Assamese cohort design
Expect longer fielding times and higher per-hour cost than for Hindi or Marathi; the speaker pool with transcription-grade literacy is smaller.
| Dimension | Typical split | Why it matters for Assamese |
|---|---|---|
| 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 Assamese forms that younger urban speakers have lost |
| Region | Assam / Arunachal Pradesh / parts of Nagaland and Meghalaya and others | Dialect spread across 4 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
Assamese-specific quality rules
- Bengali characters substituted for Assamese ৰ / ৱ
- Goalparia and Kamrupi forms standardised to Sibsagar Assamese
- Tea-garden community speech excluded because transcribers cannot handle it
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 Assamese asr datasets engagement: 100 hours from 300 speakers, 50/50 gender, ages 18-45, spread across Guwahati, Jorhat, Dibrugarh, 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
Extremely low-resource. Almost no spontaneous Assamese speech data exists publicly, and non-standard dialects have none.
Frequently asked
How much does Assamese asr datasets cost?
Priced per delivered hour or unit against a written spec. The cost drivers for Assamese are dialect spread, demographic narrowness and recording condition, in that order.
Which Assamese dialects are included?
By default Kamrupi, Goalparia, Upper Assam (Sibsagar standard), Barak Valley contact varieties and others, tagged per speaker. You can also commission a single-dialect corpus if you are targeting one region.
Can you deliver Assamese 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 Assamese programme take?
Transcription adds roughly 1-2 weeks per 100 hours after recording, per language.
Request a Assamese asr datasets quote
Hours, speakers, dialects, deadline. Send what you have.