Blog(2)
Speech enhancement or noise suppression aims at improving the quality and intelligibility of noisy speech. It is an important frontend module for voice call, automatic speech recognition (ASR), and hearing aids system.
I have a challenge: I am going to show you a very noisy image. Would you be able to recognize its content confidently? No? Neither can AI models. Like humans, they find it challenging to understand the content of corrupted images and, sadly, they tend to be much more sensitive to the problem than we are.
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Publications(38)
Open-Source Conversational AI with SpeechBrain 1.0
AuthorTitouan Parcollet, Shucong Zhang
PublishedJournal of Machine Learning Research
Date2024-09-09
SRS Interference Management in TDD CJT for 5G
AuthorKarthik Muralidhar, Youngrok Jang, Younsun Kim, Diwakar Sharma, Hyoung-Ju Ji, Santanu Mondal, Dattaraj DileepRaut Mulgaonkar, Satya Kumar Vankayala, Seongmok Lim
PublishedIEEE Access
Date2024-06-17
An MVDR-Embedded U-Net Beamformer for Effective and Robust Multichannel Speech Enhancement
AuthorChinghua Lee,Chouchang Yang,Yilin Shen,Hongxia Jin
PublishedIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
Date2024-04-14
News(11)
It is crucial for 6G networks to ensure reliable connectivity with energy efficient communication for a wide range of mobile users. Waveform technology plays a vital role in enhancing the energy efficiency of mobile phones and networks, providing reduced power consumption across various scenarios.
Recently, true wireless stereo (TWS) earbuds have been successfully popularized along with mobile phones, thereby increasing convenience for many users. In line with this, companies developing earbuds have introduced a variety of functions to maximize user experience.
Handwriting has served as the primary method for information recording over an extensive historical span [1], as its development begins in early education, accompanied by a strong emphasis on writing accuracy.
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