82 citations · 86 across the 9 of their papers we have counts for
9 papers
Mask-CTC-based Encoder Pre-training for Streaming End-to-End Speech Recognition
Huaibo Zhao, Yosuke Higuchi, Yusuke Kida +2
Achieving high accuracy with low latency has always been a challenge in streaming end-to-end automatic speech recognition (ASR) systems. By attending to more future contexts, a str…
Neural Diarization with Non-autoregressive Intermediate Attractors
Yusuke Fujita, Tatsuya Komatsu, Robin Scheibler +2
End-to-end neural diarization (EEND) with encoder-decoder-based attractors (EDA) is a promising method to handle the whole speaker diarization problem simultaneously with a single…
Conversation-oriented ASR with multi-look-ahead CBS architecture
Huaibo Zhao, Shinya Fujie, Tetsuji Ogawa +3
During conversations, humans are capable of inferring the intention of the speaker at any point of the speech to prepare the following action promptly. Such ability is also the key…
Tourist Guidance Robot Based on HyperCLOVA
Takato Yamazaki, Katsumasa Yoshikawa, Toshiki Kawamoto +5
This paper describes our system submitted to Dialogue Robot Competition 2022. Our proposed system is a combined model of rule-based and generation-based dialog systems. The system…
Alternate Intermediate Conditioning with Syllable-level and Character-level Targets for Japanese ASR
Yusuke Fujita, Tatsuya Komatsu, Yusuke Kida
End-to-end automatic speech recognition directly maps input speech to characters. However, the mapping can be problematic when several different pronunciations should be mapped int…
InterAug: Augmenting Noisy Intermediate Predictions for CTC-based ASR
Yu Nakagome, Tatsuya Komatsu, Yusuke Fujita +2
This paper proposes InterAug: a novel training method for CTC-based ASR using augmented intermediate representations for conditioning. The proposed method exploits the conditioning…