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--- |
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license: apache-2.0 |
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language: |
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- ja |
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library_name: espnet |
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tags: |
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- automatic-speech-recognition |
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--- |
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# reazonspeech-espnet-v2 |
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`reazonspeech-espnet-v2` is an automatic speech recognition (ASR) model |
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trained on [ReazonSpeech v2.0 corpus](https://huggingface.co/datasets/reazon-research/reazonspeech). |
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## Model Architecture |
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The general architecture is the same as [reazonspeech-espnet-v1](https://huggingface.co/reazon-research/reazonspeech-espnet-v1). |
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* Conformer-Transducer model with 118.85M parameters. |
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* We trained this model for 33 epoch using Adam optimizer. The maximum |
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learning rate was 0.02, with 15000 warmup steps. |
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* The training audio files were sampled at 16khz. Make sure that your |
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input audio files have the same sampling rate. |
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## Usage |
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We provide `transcribe()` function that is suitable to use with this |
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model. |
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``` |
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from espnet2.bin.asr_inference import Speech2Text |
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from reazonspeech.espnet.asr import transcribe |
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speech2text = Speech2Text( |
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"exp/asr_train_asr_conformer_raw_jp_char/config.yaml", |
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"exp/asr_train_asr_conformer_raw_jp_char/valid.acc.ave_10best.pth", |
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device="cuda" |
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) |
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for cap in transcribe("speech.wav", speech2text): |
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print(cap) |
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``` |
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## License |
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[Apaceh Licence 2.0](https://choosealicense.com/licenses/apache-2.0/) |
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