Search Results for author: Yunyang Zeng

Found 4 papers, 2 papers with code

Psychoacoustic Challenges Of Speech Enhancement On VoIP Platforms

no code implementations • 11 Oct 2023 • Joseph Konan, Ojas Bhargave, Shikhar Agnihotri, Shuo Han, Yunyang Zeng, Ankit Shah, Bhiksha Raj

Within the ambit of VoIP (Voice over Internet Protocol) telecommunications, the complexities introduced by acoustic transformations merit rigorous analysis.

Benchmarking Denoising +1

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Improving Perceptual Quality, Intelligibility, and Acoustics on VoIP Platforms

no code implementations • 16 Mar 2023 • Joseph Konan, Ojas Bhargave, Shikhar Agnihotri, Hojeong Lee, Ankit Shah, Shuo Han, Yunyang Zeng, Amanda Shu, Haohui Liu, Xuankai Chang, Hamza Khalid, Minseon Gwak, Kawon Lee, Minjeong Kim, Bhiksha Raj

In this paper, we present a method for fine-tuning models trained on the Deep Noise Suppression (DNS) 2020 Challenge to improve their performance on Voice over Internet Protocol (VoIP) applications.

Multi-Task Learning Speech Enhancement +2

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PAAPLoss: A Phonetic-Aligned Acoustic Parameter Loss for Speech Enhancement

2 code implementations • 16 Feb 2023 • Muqiao Yang, Joseph Konan, David Bick, Yunyang Zeng, Shuo Han, Anurag Kumar, Shinji Watanabe, Bhiksha Raj

We can add this criterion as an auxiliary loss to any model that produces speech, to optimize speech outputs to match the values of clean speech in these features.

Speech Enhancement Time Series +1

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TAPLoss: A Temporal Acoustic Parameter Loss for Speech Enhancement

2 code implementations • 16 Feb 2023 • Yunyang Zeng, Joseph Konan, Shuo Han, David Bick, Muqiao Yang, Anurag Kumar, Shinji Watanabe, Bhiksha Raj

We propose an objective for perceptual quality based on temporal acoustic parameters.

Speaker Recognition Speech Enhancement

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