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Dengfeng Ke

3 accepted papers

2024

Concss: Contrastive-based Context Comprehension for Dialogue-Appropriate Prosody in Conversational Speech Synthesis

ICASSP 2024accepted

Conversational speech synthesis (CSS) incorporates historical dialogue as supplementary information with the aim of generating speech that has dialogue-appropriate prosody. While previous methods have already delved into enhancing context comprehension, context representation still lacks effective r…

Cited by 0SourceScholar
2023

LIMI-VC: A Light Weight Voice Conversion Model with Mutual Information Disentanglement

ICASSP 2023accepted

Voice conversion(VC) model aims to convert the source timbre to the target one. Recently, many VC models utilize pre-trained models to enhance the performance and achieve good results. However, pre-trained models could not somehow disentangle the timbre and linguistic information, thus resulting in…

Cited by 0SourceScholar
2018

Boosting Noise Robustness of Acoustic Model via Deep Adversarial Training

ICASSP 2018accepted

In realistic environments, speech is usually interfered by various noise and reverberation, which dramatically degrades the performance of automatic speech recognition (ASR) systems. To alleviate this issue, the commonest way is to use a well-designed speech enhancement approach as the front-end of…

Cited by 0SourceScholar