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Deep learning-based non-intrusive multi-objective speech assessment model with cross-domain features
This study proposes a cross-domain multi-objective speech assessment model, called
MOSA-Net, which can simultaneously estimate the speech quality, intelligibility, and …
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
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 …
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
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 …
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 …
acceptance and satisfaction of users. Compared with invasive speech quality evaluation …
Metricnet: Towards improved modeling for non-intrusive speech quality assessment
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 …
speech signal with its clean reference, while human beings are capable of evaluating the …
Non-intrusive speech quality assessment: A survey
Speech quality is a critical consideration for applications such as speech enhancement,
coding, transmission, and synthesis. Accurately evaluating the quality of degraded speech …
coding, transmission, and synthesis. Accurately evaluating the quality of degraded speech …
Corn: Co-Trained Full-and No-Reference Speech Quality Assessment
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 …
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 …
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 …
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
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 …
associated with the perceptual speech quality, level of reverberation and noise in a speech …