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 …
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 …
Non-intrusive quality assessment of noise-suppressed speech using unsupervised deep features
Objective quality assessment aims towards evaluating the perceptual quality of a signal
using a machine-based algorithm. Due to different challenges involved in the subjective …
using a machine-based algorithm. Due to different challenges involved in the subjective …
A non-invasive speech quality evaluation algorithm for hearing aids with multi-head self-attention and audiogram-based features
R Liang, Y Xie, 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 …
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 …
[PDF][PDF] Novel Subband Autoencoder Features for Non-Intrusive Quality Assessment of Noise Suppressed Speech.
In this paper, we propose a novel feature extraction architecture of Deep Neural Network
(DNN), namely, subband autoencoder (SBAE). The proposed architecture is inspired by the …
(DNN), namely, subband autoencoder (SBAE). The proposed architecture is inspired by the …
Effectiveness of ideal ratio mask for non-intrusive quality assessment of noise suppressed speech
The Ideal Ratio Mask (IRM) has proven to be very effective tool in many applications such as
speech segregation, speech enhancement for hearing aid design and noise robust speech …
speech segregation, speech enhancement for hearing aid design and noise robust speech …
Non-intrusive speech quality estimation as combination of estimates using multiple time-scale auditory features
The human auditory system is modeled by different auditory models representing the
distribution of speech sound energy in different channels across the cochlea using filter …
distribution of speech sound energy in different channels across the cochlea using filter …
Non-intrusive speech quality assessment using natural spectrogram statistics
Speech quality assessment is one of the active research area in the field of communication
and signal processing. In this paper, we proposed a new method to predict the quality of non …
and signal processing. In this paper, we proposed a new method to predict the quality of non …
Single-ended speech quality evaluation using linear combination of the quality score estimates of multi-instances features
Background: In a single-ended speech quality evaluation, the measurement of Mean
Opinion Score (MOS) is done objectively without the use of clean speech as a reference. In …
Opinion Score (MOS) is done objectively without the use of clean speech as a reference. In …