Improving Perceptual Quality, Intelligibility, and Acoustics on VoIP Platforms
Published in arXiv preprint arXiv:2303.09048, 2023
Voice over Internet Protocol (VoIP) platforms have become essential for modern communication, yet audio quality often suffers due to network conditions, background noise, and codec limitations. This study explores signal processing and deep learning improvements for VoIP communications, focusing on perceptual quality enhancement, speech intelligibility improvement, and acoustic optimization. We present methods that can be deployed in real-time to significantly improve the user experience in voice calls.
Recommended citation: @article{konan2023improving, title={Improving Perceptual Quality, Intelligibility, and Acoustics on VoIP Platforms}, author={Konan, Joseph and Bhargave, Ojas and Agnihotri, Shikhar and Lee, Hojeong and Shah, Ankit and Han, Shuo and Zeng, Yunyang and Shu, Amanda and Liu, Haohui and Chang, Xuankai and others}, journal={arXiv preprint arXiv:2303.09048}, year={2023} }
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