Convolutive Transfer Function Invariant SDR training criteria for
Multi-Channel Reverberant Speech Separation

Convolutive Transfer Function Invariant SDR training criteria for Multi-Channel Reverberant Speech Separation

30 November 2020

Christoph Boeddeker

Wangyou Zhang

Tomohiro Nakatani

Reinhold Haeb-Umbach

Papers citing "Convolutive Transfer Function Invariant SDR training criteria for Multi-Channel Reverberant Speech Separation"

8 / 8 papers shown

Title
Microphone Array Signal Processing and Deep Learning for Speech Enhancement Reinhold Haeb-Umbach Tomohiro Nakatani Marc Delcroix Christoph Boeddeker Tsubasa Ochiai 43 0 0 13 Jan 2025
Rethinking Processing Distortions: Disentangling the Impact of Speech Enhancement Errors on Speech Recognition Performance Tsubasa Ochiai Kazuma Iwamoto Marc Delcroix Rintaro Ikeshita Hiroshi Sato Shoko Araki Shigeru Katagiri 29 2 0 23 Apr 2024
End-to-End Integration of Speech Recognition, Dereverberation, Beamforming, and Self-Supervised Learning Representation Yoshiki Masuyama Xuankai Chang Samuele Cornell Shinji Watanabe Nobutaka Ono 22 19 0 19 Oct 2022
Deep Learning-Based Joint Control of Acoustic Echo Cancellation, Beamforming and Postfiltering Thomas Haubner Walter Kellermann 29 7 0 03 Mar 2022
Target Speech Extraction: Independent Vector Extraction Guided by Supervised Speaker Identification J. Málek Jakub Janský Zbyněk Koldovský Tomás Kounovský Jaroslav Cmejla J. Zdánský 25 10 0 05 Nov 2021
SDR -- Medium Rare with Fast Computations Robin Scheibler 31 17 0 13 Oct 2021
A Comparison and Combination of Unsupervised Blind Source Separation Techniques Christoph Boeddeker F. Rautenberg Reinhold Haeb-Umbach VLM 28 11 0 10 Jun 2021
On Loss Functions for Supervised Monaural Time-Domain Speech Enhancement Morten Kolbæk Zheng-Hua Tan S. H. Jensen Jesper Jensen AAML 63 127 0 03 Sep 2019