fairseq speech-to-text translation
由 C Wang 著作 · 2020 · 被引用 31 次 — Abstract. We introduce fairseq S2T, a fairseq extension for speech-to-text (S2T) modeling tasks such as end-to-end speech recognition and speech-to-text ... ,由 C Wang 著作 · 2020 · 被引用 31 次 — We introduce fairseq S2T, a fairseq extension for speech-to-text (S2T) modeling tasks such as end-to-end speech recognition and speech-to-text translation. ,2021 Update: We are merging this example into the S2T framework, which supports more generic speech-to-text tasks (e.g. speech translation) and more ... ,MuST-C is multilingual speech-to-text translation corpus with 8-language translations on English TED talks. Data Preparation. This section introduces the data ... ,由 C Wang 著作 · 2020 · 被引用 31 次 — We implement state-of-the-art RNN-based as well as Transformer-based models and open- source detailed training recipes. FAIRSEQ's machine translation models and ... ,由 C Wang 著作 · 被引用 31 次 — FAIRSEQ's machine translation models and language models can be seamlessly integrated into. S2T workflows for multi-task learning or transfer learning. FAIRSEQ ... ,8 best model for Speech-to-Text Translation on MuST-C EN->DE (Case-sensitive sacreBLEU metric) ,We introduce fairseq S2T, a fairseq extension for speech-to-text (S2T) modeling tasks such as end-to-end speech recognition and speech-to-text translation. ,The Speech2Text model was proposed in fairseq S2T: Fast Speech-to-Text Modeling with ... Automatic Speech Recognition (ASR) and Speech Translation (ST). ,由 C Wang 著作 · 2020 · 被引用 31 次 — Fairseq's machine translation models and language models can be seamlessly integrated into S2T workflows for multi-task learning or transfer ...
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 fairseq speech-to-text translation 相關參考資料
fairseq S2T: Fast Speech-to-Text Modeling with ... - NASAADS
由 C Wang 著作 · 2020 · 被引用 31 次 — Abstract. We introduce fairseq S2T, a fairseq extension for speech-to-text (S2T) modeling tasks such as end-to-end speech recognition and speech-to-text ... https://ui.adsabs.harvard.edu Fairseq S2T: Fast Speech-to-Text Modeling with Fairseq - ACL ...
由 C Wang 著作 · 2020 · 被引用 31 次 — We introduce fairseq S2T, a fairseq extension for speech-to-text (S2T) modeling tasks such as end-to-end speech recognition and speech-to-text translation. https://aclanthology.org fairseqREADME.md at main - Speech Recognition - GitHub
2021 Update: We are merging this example into the S2T framework, which supports more generic speech-to-text tasks (e.g. speech translation) and more ... https://github.com fairseqsimulst_mustc_example.md at master - GitHub
MuST-C is multilingual speech-to-text translation corpus with 8-language translations on English TED talks. Data Preparation. This section introduces the data ... https://github.com Fast Speech-to-Text Modeling with Fairseq - ACL Anthology
由 C Wang 著作 · 2020 · 被引用 31 次 — We implement state-of-the-art RNN-based as well as Transformer-based models and open- source detailed training recipes. FAIRSEQ's machine translation models and ... https://aclanthology.org Fast Speech-to-Text Modeling with FAIRSEQ - Facebook ...
由 C Wang 著作 · 被引用 31 次 — FAIRSEQ's machine translation models and language models can be seamlessly integrated into. S2T workflows for multi-task learning or transfer learning. FAIRSEQ ... https://research.fb.com Fast Speech-to-Text Modeling with fairseq | Papers With Code
8 best model for Speech-to-Text Translation on MuST-C EN->DE (Case-sensitive sacreBLEU metric) https://paperswithcode.com Fast Speech-to-Text Modeling with Fairseq | Semantic Scholar
We introduce fairseq S2T, a fairseq extension for speech-to-text (S2T) modeling tasks such as end-to-end speech recognition and speech-to-text translation. https://www.semanticscholar.or Speech2Text — transformers 4.10.1 documentation - Hugging ...
The Speech2Text model was proposed in fairseq S2T: Fast Speech-to-Text Modeling with ... Automatic Speech Recognition (ASR) and Speech Translation (ST). https://huggingface.co [2010.05171] fairseq S2T: Fast Speech-to-Text Modeling with ...
由 C Wang 著作 · 2020 · 被引用 31 次 — Fairseq's machine translation models and language models can be seamlessly integrated into S2T workflows for multi-task learning or transfer ... https://arxiv.org |