Sequence-To-Sequence Speech Recognition

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Most implemented papers archive 2025-07-28

7 shown of 7 papers with code (22 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• On the Choice of Modeling Unit for Sequence-to-Sequence Speech Recognition
  5 Feb 2019 3 repositories listed
  We also investigate model complementarity: we find that we can improve WERs by up to 9% relative by rescoring N-best lists generated from a strong word-piece based baseline with either the phoneme or the grapheme model.
• Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling
  21 Feb 2019 2 repositories listed Syntology ran 0 of 4 samples · 4 unverified · 4 pointer-only (licence)
  Lingvo is a Tensorflow framework offering a complete solution for collaborative deep learning research, with a particular focus towards sequence-to-sequence models.
• Instant One-Shot Word-Learning for Context-Specific Neural Sequence-to-Sequence Speech Recognition
  5 Jul 2021 1 repository listed
  To alleviate this problem we supplement an end-to-end ASR system with a word/phrase memory and a mechanism to access this memory to recognize the words and phrases correctly.
• Low-Latency Sequence-to-Sequence Speech Recognition and Translation by Partial Hypothesis Selection
  22 May 2020 1 repository listed Syntology ran 3 of 3 samples · 0 unverified
  On How2 English-Portuguese speech translation, we reduce latency to 0.
• Multimodal Grounding for Sequence-to-Sequence Speech Recognition
  9 Nov 2018 1 repository listed
  Specifically, in our previous work, we propose a multistep visual adaptive training approach which improves the accuracy of an audio-based Automatic Speech Recognition (ASR) system.
• Syllable-Based Sequence-to-Sequence Speech Recognition with the Transformer in Mandarin Chinese
  28 Apr 2018 1 repository listed
  Furthermore, we investigate a comparison between syllable based model and context-independent phoneme (CI-phoneme) based model with the Transformer in Mandarin Chinese.
• Sequence-to-Sequence Models Can Directly Translate Foreign Speech
  24 Mar 2017 1 repository listed
  We present a recurrent encoder-decoder deep neural network architecture that directly translates speech in one language into text in another.

Syntology lines on 2 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.