All-neural beamformer for continuous speech separation

13 October 2021

Papers citing "All-neural beamformer for continuous speech separation"

8 / 8 papers shown

Title
DualSep: A Light-weight dual-encoder convolutional recurrent network for real-time in-car speech separation Ziqian Wang Jiayao Sun Zihan Zhang Xingchen Li Jie Liu Lei Xie 24 0 0 13 Sep 2024
Binaural Selective Attention Model for Target Speaker Extraction Hanyu Meng Qiquan Zhang Xiangyu Zhang V. Sethu Eliathamby Ambikairajah 33 1 0 18 Jun 2024
DasFormer: Deep Alternating Spectrogram Transformer for Multi/Single-Channel Speech Separation Shuo Wang Xiangyu Kong Xiulian Peng H. Movassagh Vinod Prakash Yan Lu 26 11 0 21 Feb 2023
Towards Unified All-Neural Beamforming for Time and Frequency Domain Speech Separation Rongzhi Gu Shi-Xiong Zhang Yuexian Zou Dong Yu AI4TS 22 24 0 16 Dec 2022
TaylorBeamixer: Learning Taylor-Inspired All-Neural Multi-Channel Speech Enhancement from Beam-Space Dictionary Perspective Andong Li Guochen Yu Wenzhe Liu Xiaodong Li C. Zheng 22 2 0 22 Nov 2022
Leveraging Real Conversational Data for Multi-Channel Continuous Speech Separation Xiaofei Wang Dongmei Wang Naoyuki Kanda Sefik Emre Eskimez Takuya Yoshioka 25 8 0 07 Apr 2022
USEV: Universal Speaker Extraction with Visual Cue Zexu Pan Meng Ge Haizhou Li 34 41 0 30 Sep 2021
Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source Separation Daniel Stoller Sebastian Ewert S. Dixon AI4TS 104 589 0 08 Jun 2018