1 citations · 1 across the 5 of their papers we have counts for
5 papers
CabinSep: IR-Augmented Mask-Based MVDR for Real-Time In-Car Speech Separation with Distributed Heterogeneous Arrays
Runduo Han, Yanxin Hu, Yihui Fu +4
Separating overlapping speech from multiple speakers is crucial for effective human-vehicle interaction. This paper proposes CabinSep, a lightweight neural mask-based minimum varia…
An Intra-BRNN and GB-RVQ Based END-TO-END Neural Audio Codec
Linping Xu, Jiawei Jiang, Dejun Zhang +7
Recently, neural networks have proven to be effective in performing speech coding task at low bitrates. However, under-utilization of intra-frame correlations and the error of quan…
Harmonic enhancement using learnable comb filter for light-weight full-band speech enhancement model
Xiaohuai Le, Tong Lei, Li Chen +9
With fewer feature dimensions, filter banks are often used in light-weight full-band speech enhancement models. In order to further enhance the coarse speech in the sub-band domain…
Two-stage Neural Network for ICASSP 2023 Speech Signal Improvement Challenge
Mingshuai Liu, Shubo Lv, Zihan Zhang +6
In ICASSP 2023 speech signal improvement challenge, we developed a dual-stage neural model which improves speech signal quality induced by different distortions in a stage-wise div…
Two-step Band-split Neural Network Approach for Full-band Residual Echo Suppression
Zihan Zhang, Shimin Zhang, Mingshuai Liu +4
This paper describes a Two-step Band-split Neural Network (TBNN) approach for full-band acoustic echo cancellation. Specifically, after linear filtering, we split the full-band sig…