15 citations · 35 across the 15 of their papers we have counts for
16 papers
UNISOUND System for VoxCeleb Speaker Recognition Challenge 2023
Yu Zheng, Yajun Zhang, Chuanying Niu +3
This report describes the UNISOUND submission for Track1 and Track2 of VoxCeleb Speaker Recognition Challenge 2023 (VoxSRC 2023). We submit the same system on Track 1 and Track 2,…
Multi-pass Training and Cross-information Fusion for Low-resource End-to-end Accented Speech Recognition
Xuefei Wang, Yanhua Long, Yijie Li +1
Low-resource accented speech recognition is one of the important challenges faced by current ASR technology in practical applications. In this study, we propose a Conformer-based a…
Dynamic Acoustic Compensation and Adaptive Focal Training for Personalized Speech Enhancement
Xiaofeng Ge, Jiangyu Han, Haixin Guan +1
Recently, more and more personalized speech enhancement systems (PSE) with excellent performance have been proposed. However, two critical issues still limit the performance and ge…
Phonetic-assisted Multi-Target Units Modeling for Improving Conformer-Transducer ASR system
Li Li, Dongxing Xu, Haoran Wei +1
Exploiting effective target modeling units is very important and has always been a concern in end-to-end automatic speech recognition (ASR). In this work, we propose a phonetic-ass…
DiaCorrect: End-to-end error correction for speaker diarization
Jiangyu Han, Yuhang Cao, Heng Lu +1
In recent years, speaker diarization has attracted widespread attention. To achieve better performance, some studies propose to diarize speech in multiple stages. Although these me…
Heterogeneous Separation Consistency Training for Adaptation of Unsupervised Speech Separation
Jiangyu Han, Yanhua Long
Recently, supervised speech separation has made great progress. However, limited by the nature of supervised training, most existing separation methods require ground-truth sources…
PercepNet+: A Phase and SNR Aware PercepNet for Real-Time Speech Enhancement
Xiaofeng Ge, Jiangyu Han, Yanhua Long +1
PercepNet, a recent extension of the RNNoise, an efficient, high-quality and real-time full-band speech enhancement technique, has shown promising performance in various public dee…
Selective Pseudo-labeling and Class-wise Discriminative Fusion for Sound Event Detection
Yunhao Liang, Yanhua Long, Yijie Li +1
In recent years, exploring effective sound separation (SSep) techniques to improve overlapping sound event detection (SED) attracts more and more attention. Creating accurate separ…
DPCCN: Densely-Connected Pyramid Complex Convolutional Network for Robust Speech Separation And Extraction
Jiangyu Han, Yanhua Long, Lukas Burget +1
In recent years, a number of time-domain speech separation methods have been proposed. However, most of them are very sensitive to the environments and wide domain coverage tasks.…
Improving Channel Decorrelation for Multi-Channel Target Speech Extraction
Jiangyu Han, Wei Rao, Yannan Wang +1
Target speech extraction has attracted widespread attention. When microphone arrays are available, the additional spatial information can be helpful in extracting the target speech…
CNN-based Discriminative Training for Domain Compensation in Acoustic Event Detection with Frame-wise Classifier
Tiantian Tang, Xinyuan Zhou, Yanhua Long +2
Domain mismatch is a noteworthy issue in acoustic event detection tasks, as the target domain data is difficult to access in most real applications. In this study, we propose a nov…
Joint framework with deep feature distillation and adaptive focal loss for weakly supervised audio tagging and acoustic event detection
Yunhao Liang, Yanhua Long, Yijie Li +2
A good joint training framework is very helpful to improve the performances of weakly supervised audio tagging (AT) and acoustic event detection (AED) simultaneously. In this study…
Multi-channel target speech extraction with channel decorrelation and target speaker adaptation
Jiangyu Han, Xinyuan Zhou, Yanhua Long +1
The end-to-end approaches for single-channel target speech extraction have attracted widespread attention. However, the studies for end-to-end multi-channel target speech extractio…
Attention-based scaling adaptation for target speech extraction
Jiangyu Han, Wei Rao, Yanhua Long +1
The target speech extraction has attracted widespread attention in recent years. In this work, we focus on investigating the dynamic interaction between different mixtures and the…
Multi-Encoder-Decoder Transformer for Code-Switching Speech Recognition
Xinyuan Zhou, Emre Yılmaz, Yanhua Long +2
Code-switching (CS) occurs when a speaker alternates words of two or more languages within a single sentence or across sentences. Automatic speech recognition (ASR) of CS speech ha…
Self-and-Mixed Attention Decoder with Deep Acoustic Structure for Transformer-based LVCSR
Xinyuan Zhou, Grandee Lee, Emre Yılmaz +3
The Transformer has shown impressive performance in automatic speech recognition. It uses the encoder-decoder structure with self-attention to learn the relationship between the hi…