3 citations · 6 across the 9 of their papers we have counts for
9 papers
Audiobook-CC: Controllable Long-context Speech Generation for Multicast Audiobook
Min Liu, JingJing Yin, Xiang Zhang +6
Existing text-to-speech systems predominantly focus on single-sentence synthesis and lack adequate contextual modeling as well as fine-grained performance control capabilities for…
ClapFM-EVC: High-Fidelity and Flexible Emotional Voice Conversion with Dual Control from Natural Language and Speech
Yu Pan, Yanni Hu, Yuguang Yang +5
Despite great advances, achieving high-fidelity emotional voice conversion (EVC) with flexible and interpretable control remains challenging. This paper introduces ClapFM-EVC, a no…
Takin: A Cohort of Superior Quality Zero-shot Speech Generation Models
Sijing Chen, Yuan Feng, Laipeng He +22
With the advent of the big data and large language model era, zero-shot personalized rapid customization has emerged as a significant trend. In this report, we introduce Takin Audi…
GMP-TL: Gender-augmented Multi-scale Pseudo-label Enhanced Transfer Learning for Speech Emotion Recognition
Yu Pan, Yuguang Yang, Heng Lu +2
The continuous evolution of pre-trained speech models has greatly advanced Speech Emotion Recognition (SER). However, current research typically relies on utterance-level emotion l…
PSCodec: A Series of High-Fidelity Low-bitrate Neural Speech Codecs Leveraging Prompt Encoders
Yu Pan, Xiang Zhang, Yuguang Yang +6
Neural speech codecs have recently emerged as a focal point in the fields of speech compression and generation. Despite this progress, achieving high-quality speech reconstruction…
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…
MSAC: Multiple Speech Attribute Control Method for Reliable Speech Emotion Recognition
Yu Pan, Yuguang Yang, Yuheng Huang +6
Despite notable progress, speech emotion recognition (SER) remains challenging due to the intricate and ambiguous nature of speech emotion, particularly in wild world. While curren…
GEmo-CLAP: Gender-Attribute-Enhanced Contrastive Language-Audio Pretraining for Accurate Speech Emotion Recognition
Yu Pan, Yanni Hu, Yuguang Yang +5
Contrastive cross-modality pretraining has recently exhibited impressive success in diverse fields, whereas there is limited research on their merits in speech emotion recognition…