[PDF][PDF] Joint blind source separation and dereverberation for automatic speech recognition using delayed-subsource MNMF with localization prior
Overlap** speech and high room reverberation deteriorate the accuracy of automatic
speech recognition (ASR). This paper proposes a method for jointly optimum source …
speech recognition (ASR). This paper proposes a method for jointly optimum source …
Reverberant Source Separation Using NTF With Delayed Subsources and Spatial Priors
M Fraś, K Kowalczyk - IEEE/ACM Transactions on Audio …, 2024 - ieeexplore.ieee.org
Speech signals recorded by distant microphones are often contaminated with room
reverberation and signals of interfering speakers. This article addresses the problem of joint …
reverberation and signals of interfering speakers. This article addresses the problem of joint …
Joint Dereverberation and Beamforming With Blind Estimation of the Shape Parameter of the Desired Source Prior
Dereverberation and acoustic beamforming is used to capture the speech of a desired
speaker in the presence of interfering speakers in a reverberant room using an array of …
speaker in the presence of interfering speakers in a reverberant room using an array of …
Opine: Leveraging a Optimization-Inspired Deep Unfolding Method for Multi-Channel Speech Enhancement
Proximal gradient theory has demonstrated its superiority in the compressive sensing field
for complex signal recovery. As an early trial in the speech front-end field, we propose …
for complex signal recovery. As an early trial in the speech front-end field, we propose …
Speech Enhancement via Maximum Likelihood Modal Beamforming with Complex Gaussian and Laplacian Priors
Capturing speech from a target source in the presence of interfering sources and noise
using acoustic beamforming is an important processing tool for machine listening. When the …
using acoustic beamforming is an important processing tool for machine listening. When the …