Papers with speech-to-text tasks
JoeyS2T: Minimalistic Speech-to-Text Modeling with JoeyNMT (2022.emnlp-demos)
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| Challenge: | JoeyS2T is a simple, lightweight NMT extension for speech-to-text tasks such as automatic speech recognition and end-to end speech translation. |
| Approach: | JoeyS2T is a JoeyNMT extension for automatic speech recognition and end-to-end speech translation. |
| Outcome: | JoeyS2T performs competitively on English speech recognition and English-to-German speech translation benchmarks. |
Hybrid Transducer and Attention based Encoder-Decoder Modeling for Speech-to-Text Tasks (2023.acl-long)
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| Challenge: | Neural based end-to-end frameworks have achieved remarkable success in speech-totext tasks, such as automatic speech recognition (ASR) and speech- totext translation (ST). |
| Approach: | They propose to combine Transducer and Attention based Encoder-Decoder (TAED) for speech-to-text tasks and leverage AED's strength in non-monotonic sequence to sequence learning while retaining Transducers streaming property. |
| Outcome: | The proposed model outperforms Transducer and Attention based Encoder-Decoder (TAED) on the MuST-C dataset and shows that it is not bound by any specific language model. |