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20222026
most citedMossFormer2: Combining Transformer and RNN-Free Recurrent Network for Enhanced Time-Domain Monaural Speech Separation

1 citations · 3 across the 21 of their papers we have counts for

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cs.CL2025

Cross-modal Consistency Guidance for Robust Emotion Control in Auto-Regressive TTS Models

Yizhou Peng, Yukun Ma, Chong Zhang +4

While Text-to-Speech (TTS) systems enable emotional control via natural-language instructions, expressiveness, naturalness, and speech quality degrade when the target emotion confl…

cs.CL2025

DrVoice: Parallel Speech-Text Voice Conversation Model via Dual-Resolution Speech Representations

Chao-Hong Tan, Qian Chen, Wen Wang +14

Recent studies on end-to-end (E2E) speech generation with large language models (LLMs) have attracted significant community attention, with multiple works extending text-based LLMs…

cs.CL2024

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…

cs.CL2023

Loss Masking Is Not Needed in Decoder-only Transformer for Discrete-token-based ASR

Qian Chen, Wen Wang, Qinglin Zhang +7

Recently, unified speech-text models, such as SpeechGPT, VioLA, and AudioPaLM, have achieved remarkable performance on various speech tasks. These models discretize speech signals…

cs.CL2023

Ditto: A Simple and Efficient Approach to Improve Sentence Embeddings

Qian Chen, Wen Wang, Qinglin Zhang +6

Prior studies diagnose the anisotropy problem in sentence representations from pre-trained language models, e.g., BERT, without fine-tuning. Our analysis reveals that the sentence…