4 citations · 18 across the 28 of their papers we have counts for
3 papers · 1 filter
Speaker consistency loss and step-wise optimization for semi-supervised joint training of TTS and ASR using unpaired text data
Naoki Makishima, Satoshi Suzuki, Atsushi Ando +1
In this paper, we investigate the semi-supervised joint training of text to speech (TTS) and automatic speech recognition (ASR), where a small amount of paired data and a large amo…
Enrollment-less training for personalized voice activity detection
Naoki Makishima, Mana Ihori, Tomohiro Tanaka +3
We present a novel personalized voice activity detection (PVAD) learning method that does not require enrollment data during training. PVAD is a task to detect the speech segments…
Audio-Visual Speech Separation Using Cross-Modal Correspondence Loss
Naoki Makishima, Mana Ihori, Akihiko Takashima +3
We present an audio-visual speech separation learning method that considers the correspondence between the separated signals and the visual signals to reflect the speech characteri…