137 citations · 249 across the 12 of their papers we have counts for
5 papers · 1 filter
An Efficient GPU-based Implementation for Noise Robust Sound Source Localization
Zirui Lin, Masayuki Takigahira, Naoya Terakado +6
Robot audition, encompassing Sound Source Localization (SSL), Sound Source Separation (SSS), and Automatic Speech Recognition (ASR), enables robots and smart devices to acquire aud…
Metric-based multimodal meta-learning for human movement identification via footstep recognition
Muhammad Shakeel, Katsutoshi Itoyama, Kenji Nishida +1
We describe a novel metric-based learning approach that introduces a multimodal framework and uses deep audio and geophone encoders in siamese configuration to design an adaptable…
Unsupervised Speech Enhancement Based on Multichannel NMF-Informed Beamforming for Noise-Robust Automatic Speech Recognition
Kazuki Shimada, Yoshiaki Bando, Masato Mimura +3
This paper describes multichannel speech enhancement for improving automatic speech recognition (ASR) in noisy environments. Recently, the minimum variance distortionless response…
Statistical Speech Enhancement Based on Probabilistic Integration of Variational Autoencoder and Non-Negative Matrix Factorization
Yoshiaki Bando, Masato Mimura, Katsutoshi Itoyama +2
This paper presents a statistical method of single-channel speech enhancement that uses a variational autoencoder (VAE) as a prior distribution on clean speech. A standard approach…
Singing Voice Separation and Vocal F0 Estimation based on Mutual Combination of Robust Principal Component Analysis and Subharmonic Summation
Yukara Ikemiya, Katsutoshi Itoyama, Kazuyoshi Yoshii
This paper presents a new method of singing voice analysis that performs mutually-dependent singing voice separation and vocal fundamental frequency (F0) estimation. Vocal F0 estim…