4 citations · 9 across the 11 of their papers we have counts for
7 papers · 1 filter
JoyAI-Talker: Full-Duplex Speech Interactive Large Model Built for Empathetic Voice Agents
Yinhao Bai, Jinming Chen, Yafeng Chen +26
We present JoyAI-Talker, a full-duplex speech dialogue system that delivers robust foundation model capabilities while empowering empathetic interaction and voice agent intelligenc…
JoyVoice: Long-Context Conditioning for Anthropomorphic Multi-Speaker Conversational Synthesis
Fan Yu, Tao Wang, You Wu +22
Large speech generation models are evolving from single-speaker, short sentence synthesis to multi-speaker, long conversation geneartion. Current long-form speech generation models…
CosyVoice 3: Towards In-the-wild Speech Generation via Scaling-up and Post-training
Zhihao Du, Changfeng Gao, Yuxuan Wang +19
In our prior works, we introduced a scalable streaming speech synthesis model, CosyVoice 2, which integrates a large language model (LLM) and a chunk-aware flow matching (FM) model…
CosyVoice 2: Scalable Streaming Speech Synthesis with Large Language Models
Zhihao Du, Yuxuan Wang, Qian Chen +16
In our previous work, we introduced CosyVoice, a multilingual speech synthesis model based on supervised discrete speech tokens. By employing progressive semantic decoding with two…
LCB-net: Long-Context Biasing for Audio-Visual Speech Recognition
Fan Yu, Haoxu Wang, Xian Shi +1
The growing prevalence of online conferences and courses presents a new challenge in improving automatic speech recognition (ASR) with enriched textual information from video slide…
Hourglass-AVSR: Down-Up Sampling-based Computational Efficiency Model for Audio-Visual Speech Recognition
Fan Yu, Haoxu Wang, Ziyang Ma +1
Recently audio-visual speech recognition (AVSR), which better leverages video modality as additional information to extend automatic speech recognition (ASR), has shown promising r…
SlideSpeech: A Large-Scale Slide-Enriched Audio-Visual Corpus
Haoxu Wang, Fan Yu, Xian Shi +3
Multi-Modal automatic speech recognition (ASR) techniques aim to leverage additional modalities to improve the performance of speech recognition systems. While existing approaches…