4 citations · 4 across the 9 of their papers we have counts for
4 papers · 1 filter
Cross-lingual Data Selection Using Clip-level Acoustic Similarity for Enhancing Low-resource Automatic Speech Recognition
Shunsuke Mitsumori, Sara Kashiwagi, Keitaro Tanaka +1
This paper presents a novel donor data selection method to enhance low-resource automatic speech recognition (ASR). While ASR performs well in high-resource languages, its accuracy…
Audio-Visual Speech Enhancement With Selective Off-Screen Speech Extraction
Tomoya Yoshinaga, Keitaro Tanaka, Shigeo Morishima
This paper describes an audio-visual speech enhancement (AV-SE) method that estimates from noisy input audio a mixture of the speech of the speaker appearing in an input video (on-…
Improving the Gap in Visual Speech Recognition Between Normal and Silent Speech Based on Metric Learning
Sara Kashiwagi, Keitaro Tanaka, Qi Feng +1
This paper presents a novel metric learning approach to address the performance gap between normal and silent speech in visual speech recognition (VSR). The difference in lip movem…
Manifold-Aware Deep Clustering: Maximizing Angles between Embedding Vectors Based on Regular Simplex
Keitaro Tanaka, Ryosuke Sawata, Shusuke Takahashi
This paper presents a new deep clustering (DC) method called manifold-aware DC (M-DC) that can enhance hyperspace utilization more effectively than the original DC. The original DC…