21 citations · 33 across the 10 of their papers we have counts for
10 papers
Sound Source Separation Using Latent Variational Block-Wise Disentanglement
Karim Helwani, Masahito Togami, Paris Smaragdis +1
While neural network approaches have made significant strides in resolving classical signal processing problems, it is often the case that hybrid approaches that draw insight from…
Real-time Stereo Speech Enhancement with Spatial-Cue Preservation based on Dual-Path Structure
Masahito Togami, Jean-Marc Valin, Karim Helwani +3
We introduce a real-time, multichannel speech enhancement algorithm which maintains the spatial cues of stereo recordings including two speech sources. Recognizing that each source…
Refinement of Direction of Arrival Estimators by Majorization-Minimization Optimization on the Array Manifold
Robin Scheibler, Masahito Togami
We propose a generalized formulation of direction of arrival estimation that includes many existing methods such as steered response power, subspace, coherent and incoherent, as we…
Label-Synchronous Speech-to-Text Alignment for ASR Using Forward and Backward Transformers
Yusuke Kida, Tatsuya Komatsu, Masahito Togami
This paper proposes a novel label-synchronous speech-to-text alignment technique for automatic speech recognition (ASR). The speech-to-text alignment is a problem of splitting long…
Joint Dereverberation and Separation with Iterative Source Steering
Taishi Nakashima, Robin Scheibler, Masahito Togami +1
We propose a new algorithm for joint dereverberation and blind source separation (DR-BSS). Our work builds upon the IRLMA-T framework that applies a unified filter combining dereve…
Surrogate Source Model Learning for Determined Source Separation
Robin Scheibler, Masahito Togami
We propose to learn surrogate functions of universal speech priors for determined blind speech separation. Deep speech priors are highly desirable due to their high modelling power…