27 citations · 37 across the 7 of their papers we have counts for
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eess.AS2024
AV-CrossNet: an Audiovisual Complex Spectral Mapping Network for Speech Separation By Leveraging Narrow- and Cross-Band Modeling
Vahid Ahmadi Kalkhorani, Cheng Yu, Anurag Kumar +3
Adding visual cues to audio-based speech separation can improve separation performance. This paper introduces AV-CrossNet, an audiovisual (AV) system for speech enhancement, target…
eess.AS2024
A Closer Look at Wav2Vec2 Embeddings for On-Device Single-Channel Speech Enhancement
Ravi Shankar, Ke Tan, Buye Xu +1
Self-supervised learned models have been found to be very effective for certain speech tasks such as automatic speech recognition, speaker identification, keyword spotting and othe…
eess.AS2023★ 1 cited
TorchAudio 2.1: Advancing speech recognition, self-supervised learning, and audio processing components for PyTorch
Jeff Hwang, Moto Hira, Caroline Chen +21
TorchAudio is an open-source audio and speech processing library built for PyTorch. It aims to accelerate the research and development of audio and speech technologies by providing…