1 citations · 1 across the 5 of their papers we have counts for
5 papers
Average Token Delay: A Duration-aware Latency Metric for Simultaneous Translation
Yasumasa Kano, Katsuhito Sudoh, Satoshi Nakamura
Simultaneous translation is a task in which the translation begins before the end of an input speech segment. Its evaluation should be conducted based on latency in addition to qua…
Tagged End-to-End Simultaneous Speech Translation Training using Simultaneous Interpretation Data
Yuka Ko, Ryo Fukuda, Yuta Nishikawa +3
Simultaneous speech translation (SimulST) translates partial speech inputs incrementally. Although the monotonic correspondence between input and output is preferable for smaller l…
E2E Refined Dataset
Keisuke Toyama, Katsuhito Sudoh, Satoshi Nakamura
Although the well-known MR-to-text E2E dataset has been used by many researchers, its MR-text pairs include many deletion/insertion/substitution errors. Since such errors affect th…
Improved Consistency Training for Semi-Supervised Sequence-to-Sequence ASR via Speech Chain Reconstruction and Self-Transcribing
Heli Qi, Sashi Novitasari, Sakriani Sakti +1
Consistency regularization has recently been applied to semi-supervised sequence-to-sequence (S2S) automatic speech recognition (ASR). This principle encourages an ASR model to out…
Applying Syntax$\unicode{x2013}$Prosody Mapping Hypothesis and Prosodic Well-Formedness Constraints to Neural Sequence-to-Sequence Speech Synthesis
Kei Furukawa, Takeshi Kishiyama, Satoshi Nakamura
End-to-end text-to-speech synthesis (TTS), which generates speech sounds directly from strings of texts or phonemes, has improved the quality of speech synthesis over the conventio…