Sequence-To-Sequence Speech Recognition
7 papers with code • 0 benchmarks • 0 datasets
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Latest papers with no code
Multilingual sequence-to-sequence speech recognition: architecture, transfer learning, and language modeling
In this work, we attempt to use data from 10 BABEL languages to build a multi-lingual seq2seq model as a prior model, and then port them towards 4 other BABEL languages using transfer learning approach.
Multi-scale Alignment and Contextual History for Attention Mechanism in Sequence-to-sequence Model
In this paper, we propose two ideas to improve sequence-to-sequence model performance by enhancing the attention module.
A Comparison of Modeling Units in Sequence-to-Sequence Speech Recognition with the Transformer on Mandarin Chinese
Experiments on HKUST datasets demonstrate that the lexicon free modeling units can outperform lexicon related modeling units in terms of character error rate (CER).
