12 citations · 60 across the 52 of their papers we have counts for
5 papers · 1 filter
Simultaneous Speech Recognition and Speaker Diarization for Monaural Dialogue Recordings with Target-Speaker Acoustic Models
Naoyuki Kanda, Shota Horiguchi, Yusuke Fujita +3
This paper investigates the use of target-speaker automatic speech recognition (TS-ASR) for simultaneous speech recognition and speaker diarization of single-channel dialogue recor…
End-to-End Neural Speaker Diarization with Self-attention
Yusuke Fujita, Naoyuki Kanda, Shota Horiguchi +3
Speaker diarization has been mainly developed based on the clustering of speaker embeddings. However, the clustering-based approach has two major problems; i.e., (i) it is not opti…
End-to-End Neural Speaker Diarization with Permutation-Free Objectives
Yusuke Fujita, Naoyuki Kanda, Shota Horiguchi +2
In this paper, we propose a novel end-to-end neural-network-based speaker diarization method. Unlike most existing methods, our proposed method does not have separate modules for e…
Auxiliary Interference Speaker Loss for Target-Speaker Speech Recognition
Naoyuki Kanda, Shota Horiguchi, Ryoichi Takashima +3
In this paper, we propose a novel auxiliary loss function for target-speaker automatic speech recognition (ASR). Our method automatically extracts and transcribes target speaker's…
Guided Source Separation Meets a Strong ASR Backend: Hitachi/Paderborn University Joint Investigation for Dinner Party ASR
Naoyuki Kanda, Christoph Boeddeker, Jens Heitkaemper +4
In this paper, we present Hitachi and Paderborn University's joint effort for automatic speech recognition (ASR) in a dinner party scenario. The main challenges of ASR systems for…