| --- |
| license: mit |
| language: |
| - hi |
| - bn |
| - te |
| - ta |
| - mr |
| - gu |
| - kn |
| - ml |
| - pa |
| - or |
| - as |
| - ur |
| - sa |
| - ne |
| - kok |
| - mai |
| - brx |
| - doi |
| - ks |
| - mni |
| - sat |
| - sd |
| - en |
| tags: |
| - audio |
| - automatic-speech-recognition |
| - speech-to-text |
| - onnx |
| - int8 |
| - sherpa-onnx |
| - indicconformer |
| - ai4bharat |
| - mobile-edge |
| pipeline_tag: automatic-speech-recognition |
| --- |
| |
| # 🎙️ BharatBhasha AI - Speech Recognition (STT) Models |
|
|
| Production-grade, INT8-quantized acoustic models based on **AI4Bharat IndicConformer** for real-time offline speech transcription in 22 Indian scheduled languages + English. |
|
|
| ## 📦 Model Artifacts & Architecture |
|
|
| | Language | Model File | Vocabulary File | Size | Format | |
| |---|---|---|---|---| |
| | Telugu (`te`) | `indic_conformer_te.onnx` | `tokens.txt` | 188 MB | NeMo CTC INT8 ONNX | |
| | Hindi (`hi`) | `indic_conformer_hi.onnx` | `tokens.txt` | 188 MB | NeMo CTC INT8 ONNX | |
| | Tamil (`ta`) | `indic_conformer_ta.onnx` | `tokens.txt` | 188 MB | NeMo CTC INT8 ONNX | |
| | Kannada (`kn`) | `indic_conformer_kn.onnx` | `tokens.txt` | 188 MB | NeMo CTC INT8 ONNX | |
| | Bengali (`bn`) | `indic_conformer_bn.onnx` | `tokens.txt` | 188 MB | NeMo CTC INT8 ONNX | |
| | Marathi (`mr`) | `indic_conformer_mr.onnx` | `tokens.txt` | 188 MB | NeMo CTC INT8 ONNX | |
| | Gujarati (`gu`) | `indic_conformer_gu.onnx` | `tokens.txt` | 188 MB | NeMo CTC INT8 ONNX | |
| | Malayalam (`ml`) | `indic_conformer_ml.onnx` | `tokens.txt` | 188 MB | NeMo CTC INT8 ONNX | |
| | Punjabi (`pa`) | `indic_conformer_pa.onnx` | `tokens.txt` | 188 MB | NeMo CTC INT8 ONNX | |
| | Odia (`or`) | `indic_conformer_or.onnx` | `tokens.txt` | 188 MB | NeMo CTC INT8 ONNX | |
| | English (`en`) | `indic_conformer_en.onnx` | `tokens_en.txt` | 188 MB | NeMo CTC INT8 ONNX | |
| | All other Indian Langs | `indic_conformer_<lang>.onnx` | `tokens.txt` | 188 MB | NeMo CTC INT8 ONNX | |
|
|
| ## 📱 Mobile Android Deployment (Sherpa-ONNX) |
| Add to `build.gradle.kts`: |
| ```kotlin |
| dependencies { |
| implementation("com.k2fsa.sherpa.onnx:sherpa-onnx:1.10.30") |
| } |
| ``` |
|
|
| Initialize offline recognizer: |
| ```kotlin |
| val config = OfflineRecognizerConfig( |
| featConfig = FeatureConfig(sampleRate = 16000, featureDim = 80), |
| modelConfig = OfflineModelConfig( |
| nemoCtc = OfflineNemoEncDecCtcModelConfig(model = modelPath), |
| tokens = tokensPath, |
| numThreads = 2, |
| debug = false |
| ) |
| ) |
| val recognizer = OfflineRecognizer(config) |
| ``` |
|
|
| ## ⚡ Performance Highlights |
| - **100% Offline**: Zero internet connection or Google speech services required. |
| - **Native Script Output**: Emits authentic Unicode characters (Telugu script, Devanagari, Bengali, Tamil, etc.). |
| - **Latency**: Real-Time Factor (RTF) < 0.25 on standard Android mobile processors. |
|
|
