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--- |
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tags: |
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- espnet |
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- audio |
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- automatic-speech-recognition |
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language: et |
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license: cc-by-4.0 |
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--- |
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# Estonian Espnet2 ASR model |
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## Model description |
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This is a general-purpose Estonian ASR model trained in the Lab of Language Technology at TalTech. |
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## Intended uses & limitations |
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This model is intended for general-purpose speech recognition, such as broadcast conversations, interviews, talks, etc. |
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## How to use |
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```python |
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from espnet2.bin.asr_inference import Speech2Text |
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model = Speech2Text.from_pretrained( |
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"TalTechNLP/espnet2_estonian" |
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) |
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speech, rate = soundfile.read("speech.wav") |
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text, *_ = model(speech) |
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``` |
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#### Limitations and bias |
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## Training data |
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## Training procedure |
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## Evaluation results |
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### BibTeX entry and citation info |
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#### Citing ESPnet |
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```BibTex |
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@inproceedings{watanabe2018espnet, |
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author={Shinji Watanabe and Takaaki Hori and Shigeki Karita and Tomoki Hayashi and Jiro Nishitoba and Yuya Unno and Nelson {Enrique Yalta Soplin} and Jahn Heymann and Matthew Wiesner and Nanxin Chen and Adithya Renduchintala and Tsubasa Ochiai}, |
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title={{ESPnet}: End-to-End Speech Processing Toolkit}, |
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year={2018}, |
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booktitle={Proceedings of Interspeech}, |
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pages={2207--2211}, |
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doi={10.21437/Interspeech.2018-1456}, |
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url={http://dx.doi.org/10.21437/Interspeech.2018-1456} |
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} |
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@inproceedings{hayashi2020espnet, |
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title={{Espnet-TTS}: Unified, reproducible, and integratable open source end-to-end text-to-speech toolkit}, |
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author={Hayashi, Tomoki and Yamamoto, Ryuichi and Inoue, Katsuki and Yoshimura, Takenori and Watanabe, Shinji and Toda, Tomoki and Takeda, Kazuya and Zhang, Yu and Tan, Xu}, |
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booktitle={Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, |
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pages={7654--7658}, |
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year={2020}, |
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organization={IEEE} |
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} |
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``` |
