| --- |
| language: |
| - tg |
| license: apache-2.0 |
| tags: |
| - audio |
| - automatic-speech-recognition |
| - speech |
| - sherpa-onnx |
| - vosk |
| datasets: |
| - Peacockery/tajik-asr-corpus-v3 |
| metrics: |
| - wer |
| pipeline_tag: automatic-speech-recognition |
| model-index: |
| - name: Vosk Tajik Speech Recognition Model |
| results: |
| - task: |
| type: automatic-speech-recognition |
| name: Automatic Speech Recognition |
| dataset: |
| name: FLEURS Tajik |
| type: google/fleurs |
| config: tg_tj |
| split: test |
| metrics: |
| - type: wer |
| value: 13.85 |
| name: Test WER |
| - task: |
| type: automatic-speech-recognition |
| name: Automatic Speech Recognition |
| dataset: |
| name: Peacockery/tajik-asr-corpus-v3 |
| type: Peacockery/tajik-asr-corpus-v3 |
| split: test |
| metrics: |
| - type: wer |
| value: 28.21 |
| name: Test WER |
| --- |
| |
| # Vosk Tajik Speech Recognition Model |
|
|
| Tajik automatic speech recognition (ASR) model for [sherpa-onnx](https://github.com/k2-fsa/sherpa-onnx). Architecture is non-streaming Zipformer2. |
|
|
| Version 0.61 |
|
|
| ## Word Error Rate (WER) |
|
|
| | Dataset | WER | |
| |---------|-----| |
| | [FLEURS Tajik](https://huggingface.co/datasets/google/fleurs) | 13.85 | |
| | [Peacockery/tajik-asr-corpus-v3](https://huggingface.co/datasets/Peacockery/tajik-asr-corpus-v3) (test split) | 28.21 | |
|
|
| ## Training Data |
|
|
| This model was trained on [Peacockery/tajik-asr-corpus-v3](https://huggingface.co/datasets/Peacockery/tajik-asr-corpus-v3). |
|
|
