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espnet
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powsm_ctc

Automatic Speech Recognition
ESPnet
multilingual
audio
phone-recognition
grapheme-to-phoneme
phoneme-to-grapheme
Model card Files
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@@ -32,9 +32,12 @@ pipeline_tag: automatic-speech-recognition
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  POWSM-CTC is a variant of [POWSM](https://huggingface.co/espnet/powsm), the first phonetic foundation model that can perform four phone-related tasks.
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  Its multi-task encoder-CTC structure is based on [OWSM-CTC](https://aclanthology.org/2024.acl-long.549/), and trained on [IPAPack++](https://huggingface.co/anyspeech), the same dataset as POWSM.
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- POWSM-CTC is proposed together with our paper [PRiSM](https://arxiv.org/abs/2601.14046), the first open-source benchmark for phone recognition systems.
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  Its decoding is much faster than encoder-decoder models, with similar or enhanced PR performance on unseen domain.
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  To use the pre-trained model, please install `espnet` and `espnet_model_zoo`. The requirements are:
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  ```
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  torch
 
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  POWSM-CTC is a variant of [POWSM](https://huggingface.co/espnet/powsm), the first phonetic foundation model that can perform four phone-related tasks.
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  Its multi-task encoder-CTC structure is based on [OWSM-CTC](https://aclanthology.org/2024.acl-long.549/), and trained on [IPAPack++](https://huggingface.co/anyspeech), the same dataset as POWSM.
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+ This model is proposed together with our paper [PRiSM](https://arxiv.org/abs/2601.14046), the first open-source benchmark for phone recognition systems.
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  Its decoding is much faster than encoder-decoder models, with similar or enhanced PR performance on unseen domain.
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+ > [!TIP]
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+ > Check out POWSM-CTC's predecessor: [🐁POWSM](https://huggingface.co/espnet/powsm)
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  To use the pre-trained model, please install `espnet` and `espnet_model_zoo`. The requirements are:
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  ```
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  torch