ICASSP 2023 Speech Signal Improvement Challenge

IF 2.9 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE open journal of signal processing Pub Date : 2024-03-12 DOI:10.1109/OJSP.2024.3376293
Ross Cutler;Ando Saabas;Babak Naderi;Nicolae-Cătălin Ristea;Sebastian Braun;Solomiya Branets
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Abstract

The ICASSP 2023 Speech Signal Improvement Challenge is intended to stimulate research in the area of improving the speech signal quality in communication systems. The speech signal quality can be measured with SIG in ITU-T P.835 and is still a top issue in audio communication and conferencing systems. For example, in the ICASSP 2022 Deep Noise Suppression challenge, the improvement in the background and overall quality is impressive, but the improvement in the speech signal is not statistically significant. To improve the speech signal the following speech impairment areas must be addressed: coloration, discontinuity, loudness, reverberation, and noise. A training and test set was provided for the challenge, and the winners were determined using an extended crowdsourced implementation of ITU-T P.804’s listening phase. The results show significant improvement was made across all measured dimensions of speech quality.
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ICASSP 2023 语音信号改进挑战赛
ICASSP 2023 语音信号改进挑战赛旨在促进通信系统中语音信号质量改进领域的研究。语音信号质量可通过 ITU-T P.835 中的 SIG 进行测量,目前仍是音频通信和会议系统中的首要问题。例如,在 ICASSP 2022 深度噪声抑制挑战赛中,背景和整体质量的改善令人印象深刻,但语音信号的改善在统计学上并不显著。要改善语音信号,必须解决以下语音损伤方面的问题:色彩、不连续性、响度、混响和噪音。我们为挑战赛提供了训练集和测试集,并通过对 ITU-T P.804 聆听阶段的扩展众包实施来确定优胜者。结果表明,在语音质量的所有测量维度上都有明显改善。
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5.30
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审稿时长
22 weeks
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