50 citations · 87 across the 7 of their papers we have counts for
7 papers
Language-universal phonetic encoder for low-resource speech recognition
Siyuan Feng, Ming Tu, Rui Xia +2
Multilingual training is effective in improving low-resource ASR, which may partially be explained by phonetic representation sharing between languages. In end-to-end (E2E) ASR sys…
Language-Universal Phonetic Representation in Multilingual Speech Pretraining for Low-Resource Speech Recognition
Siyuan Feng, Ming Tu, Rui Xia +2
We improve low-resource ASR by integrating the ideas of multilingual training and self-supervised learning. Concretely, we leverage an International Phonetic Alphabet (IPA) multili…
HiSSNet: Sound Event Detection and Speaker Identification via Hierarchical Prototypical Networks for Low-Resource Headphones
N Shashaank, Berker Banar, Mohammad Rasool Izadi +3
Modern noise-cancelling headphones have significantly improved users' auditory experiences by removing unwanted background noise, but they can also block out sounds that matter to…
Memory Augmented Lookup Dictionary based Language Modeling for Automatic Speech Recognition
Yukun Feng, Ming Tu, Rui Xia +2
Recent studies have shown that using an external Language Model (LM) benefits the end-to-end Automatic Speech Recognition (ASR). However, predicting tokens that appear less frequen…
VoiceFixer: A Unified Framework for High-Fidelity Speech Restoration
Haohe Liu, Xubo Liu, Qiuqiang Kong +5
Speech restoration aims to remove distortions in speech signals. Prior methods mainly focus on a single type of distortion, such as speech denoising or dereverberation. However, sp…
VoiceFixer: Toward General Speech Restoration with Neural Vocoder
Haohe Liu, Qiuqiang Kong, Qiao Tian +4
Speech restoration aims to remove distortions in speech signals. Prior methods mainly focus on single-task speech restoration (SSR), such as speech denoising or speech declipping.…
Joint Echo Cancellation and Noise Suppression based on Cascaded Magnitude and Complex Mask Estimation
Xiaofeng Shu, Yehang Zhu, Yanjie Chen +4
Acoustic echo and background noise can seriously degrade the intelligibility of speech. In practice, echo and noise suppression are usually treated as two separated tasks and can b…