30 citations · 115 across the 34 of their papers we have counts for
10 papers · 1 filter
Cascaded all-pass filters with randomized center frequencies and phase polarity for acoustic and speech measurement and data augmentation
Hideki Kawahara, Kohei Yatabe
We introduce a new member of TSP (Time Stretched Pulse) for acoustic and speech measurement infrastructure, based on a simple all-pass filter and systematic randomization. This new…
Self-supervised Neural Audio-Visual Sound Source Localization via Probabilistic Spatial Modeling
Yoshiki Masuyama, Yoshiaki Bando, Kohei Yatabe +3
Detecting sound source objects within visual observation is important for autonomous robots to comprehend surrounding environments. Since sounding objects have a large variety with…
Consistent Independent Low-Rank Matrix Analysis for Determined Blind Source Separation
Daichi Kitamura, Kohei Yatabe
Independent low-rank matrix analysis (ILRMA) is the state-of-the-art algorithm for blind source separation (BSS) in the determined situation (the number of microphones is greater t…
Gamma Boltzmann Machine for Simultaneously Modeling Linear- and Log-amplitude Spectra
Toru Nakashika, Kohei Yatabe
In audio applications, one of the most important representations of audio signals is the amplitude spectrogram. It is utilized in many machine-learning-based information processing…
Consistent ICA: Determined BSS meets spectrogram consistency
Kohei Yatabe
Multichannel audio blind source separation (BSS) in the determined situation (the number of microphones is equal to that of the sources), or determined BSS, is performed by multich…
Determined BSS based on time-frequency masking and its application to harmonic vector analysis
Kohei Yatabe, Daichi Kitamura
This paper proposes harmonic vector analysis (HVA) based on a general algorithmic framework of audio blind source separation (BSS) that is also presented in this paper. BSS for a c…
Stable Training of DNN for Speech Enhancement based on Perceptually-Motivated Black-Box Cost Function
Masaki Kawanaka, Yuma Koizumi, Ryoichi Miyazaki +1
Improving subjective sound quality of enhanced signals is one of the most important missions in speech enhancement. For evaluating the subjective quality, several methods related t…
Speech Enhancement using Self-Adaptation and Multi-Head Self-Attention
Yuma Koizumi, Kohei Yatabe, Marc Delcroix +2
This paper investigates a self-adaptation method for speech enhancement using auxiliary speaker-aware features; we extract a speaker representation used for adaptation directly fro…
Real-time speech enhancement using equilibriated RNN
Daiki Takeuchi, Kohei Yatabe, Yuma Koizumi +2
We propose a speech enhancement method using a causal deep neural network~(DNN) for real-time applications. DNN has been widely used for estimating a time-frequency~(T-F) mask whic…
Phase reconstruction based on recurrent phase unwrapping with deep neural networks
Yoshiki Masuyama, Kohei Yatabe, Yuma Koizumi +2
Phase reconstruction, which estimates phase from a given amplitude spectrogram, is an active research field in acoustical signal processing with many applications including audio s…