10 papers
LLM-HB: Language-Aware LLM-Guided Hotword Biasing for Code-Switching ASR
Yuxuan He, Genshun Wan, Pengcheng Li +3
Code-switching (CS) speech, characterized by language alternation within a single utterance, is prevalent in multilingual communities and poses challenges to automatic speech recog…
WQ-Fusion: Dynamic Gated Attention for Cross-Domain Audio Representation
Mingda Lin, Lei Ding, Xinyue Zhou +6
While pre-trained models excel in specialized tasks, learning universal representations across diverse acoustic domains remains challenging. To address this, we propose WQ-Fusion,…
Joint Learning of Covariance Estimation and White Noise Gain for Robust MVDR Beamforming
Yongyi Deng, Hanchen Pei, Jianbo Ma +3
The minimum variance distortionless response (MVDR) beamformer is widely used for multichannel speech enhancement due to strong noise suppression while preserving target signals. I…
DTT-BSR+: A Generative-Regression Cascade for Music Source Restoration
Youran Ni, Shihong Tan, Yuzhu Wang +1
Music source restoration (MSR) requires jointly addressing source unmixing and the inversion of non-linear production effects. Current methods struggle to achieve accurate target s…
A Fusion-Aware Two-Stage Framework for Mispronunciation Detection and Diagnosis in Low-Resource Modern Standard Arabic
Jing Yang, Shuqing Zhang, Yongyi Deng +5
Accurate phoneme recognition is pivotal for mispronunciation detection and diagnosis (MDD) in modern standard Arabic (MSA), yet remains constrained by data scarcity and the synthet…
Geometrically Constrained Decentralized Independent Vector Analysis for Distributed Microphone Arrays
Changda Chen, Yichen Yang, Wei Liu +4
This paper proposes a geometrically constrained decentralized independent vector analysis (GC-Dec-IVA) method for distributed microphone arrays. Recently proposed Dec-IVA method en…
A Directional-Derivative-Constrained Method for Continuously Steerable Differential Beamformers with Uniform Circular Arrays
Tiantian Xiong, Yongyi Deng, Kunlong Zhao +5
Differential microphone arrays offer a promising solution for far-field acoustic signal acquisition due to their high spatial directivity and compact array structure. A key challen…
Spatial-Filter-Bank-Based Neural Method for Multichannel Speech Enhancement
Tianqin Zheng, Jilu Jin, Hanchen Pei +3
The performance of deep learning-based multi-channel speech enhancement methods often deteriorates when the geometric parameters of the microphone array change. Traditional approac…
LMFCA-Net: A Lightweight Model for Multi-Channel Speech Enhancement with Efficient Narrow-Band and Cross-Band Attention
Yaokai Zhang, Hanchen Pei, Wanqi Wang +1
Deep learning based end-to-end multi-channel speech enhancement methods have achieved impressive performance by leveraging sub-band, cross-band, and spatial information. However, t…
Advances in Microphone Array Processing and Multichannel Speech Enhancement
Gongping Huang, Jesper R. Jensen, Jingdong Chen +5
This paper reviews pioneering works in microphone array processing and multichannel speech enhancement, highlighting historical achievements, technological evolution, commercializa…