15 citations · 24 across the 8 of their papers we have counts for
9 papers
Unified Target-Speaker ASR with Text and Enrollment Speech Cues
Yuxiang Mei, Yuchen Yan, Dongxing Xu +2
Target-speaker automatic speech recognition (TS-ASR) aims to recognize a designated speaker while suppressing interfering speech in multi-talker environments. Conventional TS-ASR t…
Rhythm-controllable Attention with High Robustness for Long Sentence Speech Synthesis
Dengfeng Ke, Yayue Deng, Yukang Jia +6
Regressive Text-to-Speech (TTS) system utilizes attention mechanism to generate alignment between text and acoustic feature sequence. Alignment determines synthesis robustness (e.g…
M2-CTTS: End-to-End Multi-scale Multi-modal Conversational Text-to-Speech Synthesis
Jinlong Xue, Yayue Deng, Fengping Wang +5
Conversational text-to-speech (TTS) aims to synthesize speech with proper prosody of reply based on the historical conversation. However, it is still a challenge to comprehensively…
ECAPA-TDNN for Multi-speaker Text-to-speech Synthesis
Jinlong Xue, Yayue Deng, Yichen Han +3
In recent years, neural network based methods for multi-speaker text-to-speech synthesis (TTS) have made significant progress. However, the current speaker encoder models used in t…
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…
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…
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…
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…