Weakly-Supervised Neural Full-Rank Spatial Covariance Analysis for a Front-End System of Distant Speech Recognition-Reference-Cited by-同舟云学术

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Weakly-Supervised Neural Full-Rank Spatial Covariance Analysis for a Front-End System of Distant Speech Recognition

Published:2022-09-18 Issue: Volume: Page:
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Container-title:Interspeech 2022
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Author:

Bando Yoshiaki,Aizawa Takahiro,Itoyama Katsutoshi,Nakadai Kazuhiro

Publisher

ISCA

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Unsupervised Domain Adaptation of Universal Source Separation Based on Neural Full-Rank Spatial Covariance Analysis;2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP);2023-09-17

2. Neural Fast Full-Rank Spatial Covariance Analysis for Blind Source Separation;2023 31st European Signal Processing Conference (EUSIPCO);2023-09-04

3. Joint Separation and Localization of Moving Sound Sources Based on Neural Full-Rank Spatial Covariance Analysis;IEEE Signal Processing Letters;2023

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