3 citations · 8 across the 6 of their papers we have counts for
6 papers
SpeechX: Neural Codec Language Model as a Versatile Speech Transformer
Xiaofei Wang, Manthan Thakker, Zhuo Chen +7
Recent advancements in generative speech models based on audio-text prompts have enabled remarkable innovations like high-quality zero-shot text-to-speech. However, existing models…
Real-Time Audio-Visual End-to-End Speech Enhancement
Zirun Zhu, Hemin Yang, Min Tang +3
Audio-visual speech enhancement (AV-SE) methods utilize auxiliary visual cues to enhance speakers' voices. Therefore, technically they should be able to outperform the audio-only s…
Exploring WavLM on Speech Enhancement
Hyungchan Song, Sanyuan Chen, Zhuo Chen +5
There is a surge in interest in self-supervised learning approaches for end-to-end speech encoding in recent years as they have achieved great success. Especially, WavLM showed sta…
Real-Time Joint Personalized Speech Enhancement and Acoustic Echo Cancellation
Sefik Emre Eskimez, Takuya Yoshioka, Alex Ju +3
Personalized speech enhancement (PSE) is a real-time SE approach utilizing a speaker embedding of a target person to remove background noise, reverberation, and interfering voices.…
VarArray: Array-Geometry-Agnostic Continuous Speech Separation
Takuya Yoshioka, Xiaofei Wang, Dongmei Wang +4
Continuous speech separation using a microphone array was shown to be promising in dealing with the speech overlap problem in natural conversation transcription. This paper propose…
Human Listening and Live Captioning: Multi-Task Training for Speech Enhancement
Sefik Emre Eskimez, Xiaofei Wang, Min Tang +5
With the surge of online meetings, it has become more critical than ever to provide high-quality speech audio and live captioning under various noise conditions. However, most mona…