18 citations · 38 across the 17 of their papers we have counts for
7 papers · 1 filter
Integrating Audio, Visual, and Semantic Information for Enhanced Multimodal Speaker Diarization
Luyao Cheng, Hui Wang, Siqi Zheng +5
Speaker diarization, the process of segmenting an audio stream or transcribed speech content into homogenous partitions based on speaker identity, plays a crucial role in the inter…
CosyVoice: A Scalable Multilingual Zero-shot Text-to-speech Synthesizer based on Supervised Semantic Tokens
Zhihao Du, Qian Chen, Shiliang Zhang +9
Recent years have witnessed a trend that large language model (LLM) based text-to-speech (TTS) emerges into the mainstream due to their high naturalness and zero-shot capacity. In…
Self-Distillation Prototypes Network: Learning Robust Speaker Representations without Supervision
Yafeng Chen, Siqi Zheng, Hui Wang +4
Training speaker-discriminative and robust speaker verification systems without explicit speaker labels remains a persisting challenge. In this paper, we propose a new self-supervi…
Skip-Layer Attention: Bridging Abstract and Detailed Dependencies in Transformers
Qian Chen, Wen Wang, Qinglin Zhang +7
The Transformer architecture has significantly advanced deep learning, particularly in natural language processing, by effectively managing long-range dependencies. However, as the…
ERes2NetV2: Boosting Short-Duration Speaker Verification Performance with Computational Efficiency
Yafeng Chen, Siqi Zheng, Hui Wang +4
Speaker verification systems experience significant performance degradation when tasked with short-duration trial recordings. To address this challenge, a multi-scale feature fusio…
3D-Speaker-Toolkit: An Open-Source Toolkit for Multimodal Speaker Verification and Diarization
Yafeng Chen, Siqi Zheng, Hui Wang +8
We introduce 3D-Speaker-Toolkit, an open-source toolkit for multimodal speaker verification and diarization, designed for meeting the needs of academic researchers and industrial p…
An Embarrassingly Simple Approach for LLM with Strong ASR Capacity
Ziyang Ma, Guanrou Yang, Yifan Yang +8
In this paper, we focus on solving one of the most important tasks in the field of speech processing, i.e., automatic speech recognition (ASR), with speech foundation encoders and…