18 citations · 59 across the 42 of their papers we have counts for
12 papers · 1 filter
AnyAudio-Judge: A Dynamic Rubric-Based Benchmark and Evaluator for Audio Instruction Following
Haitao Li, Tian Tan, Yuguang Yang +2
The rapid advancement of instruction-guided audio generation has highlighted the critical need for robust alignment evaluation. Current automated evaluation methods heavily rely on…
S2ST-Omni: Hierarchical Language-Aware SpeechLLM Adaptation for Multilingual Speech-to-Speech Translation
Yu Pan, Xiongfei Wu, Yuguang Yang +3
Despite recent advances in speech-to-speech translation (S2ST), it remains difficult to achieve both high translation accuracy and practical flexibility. In this paper, we present…
Fine-grained Preference Optimization Improves Zero-shot Text-to-Speech
Jixun Yao, Yuguang Yang, Yu Pan +5
Integrating human feedback to align text-to-speech (TTS) system outputs with human preferences has proven to be an effective approach for enhancing the robustness of language model…
StableVC: Style Controllable Zero-Shot Voice Conversion with Conditional Flow Matching
Jixun Yao, Yuguang Yang, Yu Pan +4
Zero-shot voice conversion (VC) aims to transfer the timbre from the source speaker to an arbitrary unseen speaker while preserving the original linguistic content. Despite recent…
MUSA: Multi-lingual Speaker Anonymization via Serial Disentanglement
Jixun Yao, Qing Wang, Pengcheng Guo +4
Speaker anonymization is an effective privacy protection solution designed to conceal the speaker's identity while preserving the linguistic content and para-linguistic information…
PP-MeT: a Real-world Personalized Prompt based Meeting Transcription System
Xiang Lyu, Yuhang Cao, Qing Wang +5
Speaker-attributed automatic speech recognition (SA-ASR) improves the accuracy and applicability of multi-speaker ASR systems in real-world scenarios by assigning speaker labels to…
PromptVC: Flexible Stylistic Voice Conversion in Latent Space Driven by Natural Language Prompts
Jixun Yao, Yuguang Yang, Yi Lei +7
Style voice conversion aims to transform the style of source speech to a desired style according to real-world application demands. However, the current style voice conversion appr…
HYBRIDFORMER: improving SqueezeFormer with hybrid attention and NSR mechanism
Yuguang Yang, Yu Pan, Jingjing Yin +3
SqueezeFormer has recently shown impressive performance in automatic speech recognition (ASR). However, its inference speed suffers from the quadratic complexity of softmax-attenti…
LMEC: Learnable Multiplicative Absolute Position Embedding Based Conformer for Speech Recognition
Yuguang Yang, Yu Pan, Jingjing Yin +1
This paper proposes a Learnable Multiplicative absolute position Embedding based Conformer (LMEC). It contains a kernelized linear attention (LA) module called LMLA to solve the ti…
Improving fairness in speaker verification via Group-adapted Fusion Network
Hua Shen, Yuguang Yang, Guoli Sun +4
Modern speaker verification models use deep neural networks to encode utterance audio into discriminative embedding vectors. During the training process, these networks are typical…
Fast query-by-example speech search using separable model
Yuguang Yang, Yu Pan, Xin Dong +1
Traditional Query-by-Example (QbE) speech search approaches usually use methods based on frame-level features, while state-of-the-art approaches tend to use models based on acousti…
Improving Speaker Identification for Shared Devices by Adapting Embeddings to Speaker Subsets
Zhenning Tan, Yuguang Yang, Eunjung Han +1
Speaker identification typically involves three stages. First, a front-end speaker embedding model is trained to embed utterance and speaker profiles. Second, a scoring function is…