Abstract—For non-intrusive speech quality assessment, we treat the mean-opinion-score (MOS) of a speech signal as a latent, and propose a latent MOS network ...
Oct 12, 2023 · This article presents a deep learning-based method that exploits large-scale intrusive simulated data to improve the accuracy and generalization of non- ...
May 17, 2021 · This paper proposes a neural network-based assessment method using attention pooling function. The proposed systems are based on the convolutional neural ...
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To improve the performance of non-intrusive speech quality assessment, this paper proposes a neural network-based assessment method using attention pooling ...
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Sep 25, 2022 · Objective non-intrusive speech quality assessment aimed to emulate and correlate with human judgement has received more attention over the ...
Mar 16, 2019 · In this work, we present an investigation of the applicability of neural networks for non-intrusive audio quality assessment.
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Oct 23, 2024 · In this work, we leverage an unconditional diffusion model trained only on clean speech for the assessment of speech quality.
Sep 29, 2022 · This study proposes a cross-domain multi-objective speech assessment model, called MOSA-Net, which can simultaneously estimate the speech quality, ...
Sep 5, 2024 · We propose a deep neural network-based architecture and train- ing design for objective non-intrusive speech quality assess-.
Recently, the non-intrusive speech quality assessment method has attracted a lot of attention since it does not require the original reference signals.