Neural network-based non-intrusive speech quality assessment using attention pooling function

Neural network-based non-intrusive speech quality assessment using attention pooling function

Abstract Recently, the non-intrusive speech quality assessment method has attracted a lot of attention since it does not require the original reference signals. At the same time, neural networks began to be applied to speech quality assessment and achieved good performance. To improve the performanc...

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Bibliographic Details
Main Authors: Miao Liu, Jing Wang, Weiming Yi, Fang Liu
Format: Article
Language:English
Published: SpringerOpen 2021-05-01
Series:EURASIP Journal on Audio, Speech, and Music Processing
Subjects:
Speech quality assessment
Non-intrusive
Neural network
Attention pooling
CNN-BLSTM
Online Access:https://doi.org/10.1186/s13636-021-00209-4

Internet

https://doi.org/10.1186/s13636-021-00209-4

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