Deep learning-based non-intrusive multi-objective speech assessment model with cross-domain features

RE Zezario, SW Fu, F Chen, CS Fuh… - … on Audio, Speech …, 2022 - ieeexplore.ieee.org
This study proposes a cross-domain multi-objective speech assessment model, called
MOSA-Net, which can simultaneously estimate the speech quality, intelligibility, and …

Quality-Net: An end-to-end non-intrusive speech quality assessment model based on BLSTM

SW Fu, Y Tsao, HT Hwang, HM Wang - arxiv preprint arxiv:1808.05344, 2018 - arxiv.org
Nowadays, most of the objective speech quality assessment tools (eg, perceptual evaluation
of speech quality (PESQ)) are based on the comparison of the degraded/processed speech …

NORESQA: A framework for speech quality assessment using non-matching references

P Manocha, B Xu, A Kumar - Advances in neural …, 2021 - proceedings.neurips.cc
The perceptual task of speech quality assessment (SQA) is a challenging task for machines
to do. Objective SQA methods that rely on the availability of the corresponding clean …

A non-invasive speech quality evaluation algorithm for hearing aids with multi-head self-attention and audiogram-based features

R Liang, Y **e, J Cheng, C Pang… - IEEE/ACM Transactions …, 2024 - ieeexplore.ieee.org
The speech quality delivered by hearing aids plays a crucial role in determining the
acceptance and satisfaction of users. Compared with invasive speech quality evaluation …

Metricnet: Towards improved modeling for non-intrusive speech quality assessment

M Yu, C Zhang, Y Xu, S Zhang, D Yu - arxiv preprint arxiv:2104.01227, 2021 - arxiv.org
The objective speech quality assessment is usually conducted by comparing received
speech signal with its clean reference, while human beings are capable of evaluating the …

Non-intrusive speech quality assessment: A survey

K Shen, D Yan, J Hu, Z Ye - Neurocomputing, 2024 - Elsevier
Speech quality is a critical consideration for applications such as speech enhancement,
coding, transmission, and synthesis. Accurately evaluating the quality of degraded speech …

Corn: Co-Trained Full-and No-Reference Speech Quality Assessment

P Manocha, D Williamson… - ICASSP 2024-2024 IEEE …, 2024 - ieeexplore.ieee.org
Perceptual evaluation constitutes a crucial aspect of various audio-processing tasks. Full
reference (FR) or similarity-based metrics rely on high-quality reference recordings, to which …

Framework for modelling mobile network quality of experience through big data analytics approach

AW Yusuf-Asaju, ZM Dahalin… - Journal of Information …, 2018 - e-journal.uum.edu.my
The increase in the usage of different mobile internet applications can cause deterioration in
the mobile network performance. Such deterioration often declines the performance of the …

A novel BNMF-DNN based speech reconstruction method for speech quality evaluation under complex environments

W Zhou, Z Zhu - International Journal of Machine Learning and …, 2021 - Springer
Speech quality evaluation (SQE) under complex noisy environment is important for audio
processing systems and quality of service. Recently, the non-intrusive SQE is getting more …

Non-intrusive estimation of speech signal parameters using a frame-based machine learning approach

D Sharma, L Berger, C Quillen… - 2020 28th European …, 2021 - ieeexplore.ieee.org
We present a novel, non-intrusive method that jointly estimates acoustic signal properties
associated with the perceptual speech quality, level of reverberation and noise in a speech …