2 papers
eess.AS2022
Minimum Latency Training of Sequence Transducers for Streaming End-to-End Speech Recognition
Yusuke Shinohara, Shinji Watanabe
Sequence transducers, such as the RNN-T and the Conformer-T, are one of the most promising models of end-to-end speech recognition, especially in streaming scenarios where both lat…
eess.AS2022
A Study of Transducer based End-to-End ASR with ESPnet: Architecture, Auxiliary Loss and Decoding Strategies
Florian Boyer, Yusuke Shinohara, Takaaki Ishii +2
In this study, we present recent developments of models trained with the RNN-T loss in ESPnet. It involves the use of various architectures such as recently proposed Conformer, mul…