Assessing Segmental Impact for Objective Speech Quality Evaluation

2021 ◽  
Author(s):  
Zhixing Liu ◽  
Yannan Wang ◽  
Gaoxiong Yi ◽  
Tao Yu ◽  
Fei Chen
Keyword(s):  
Quality Evaluation ◽  
Speech Quality ◽  
Objective Speech Quality

A Novel Recurrent Generalized Congruence Neural Network Measure for Objective Speech Quality Evaluation

2012 ◽  
Vol 433-440 ◽  
pp. 2282-2287
Author(s):  
Tian Yun Yan
Keyword(s):  
Neural Network ◽  
Quality Evaluation ◽  
Speech Quality ◽  
System Model ◽  
The Novel ◽  
Training Time ◽  
Network Measure ◽  
Comparison Results ◽  
Objective Speech Quality ◽  
New System

A new system model for objective speech quality evaluation based on the improved recurrent generalized congruence neural network (RGCNN/OSQE) is proposed. The performance of the RGCNN model is compared with the most commonly used RBFNN (radial basis function neural network) model in objective speech quality evaluation. Comparison results show that the RGCNN model has higher correlation coefficient, less deviation, and saves about half training time, i.e., the RGCNN model has obvious advantages over the RBFNN model. Therefore, the novel RGCNN model for objective speech quality evaluation is feasible and effective.

Objective Speech Quality Evaluation Based on Matlab

2014 ◽  
Vol 568-570 ◽  
pp. 284-287
Author(s):  
Ji Xiang Wang ◽  
Shu Li Dong
Keyword(s):  
Quality Evaluation ◽  
Evaluation Method ◽  
Objective Evaluation ◽  
Wavelet Spectrum ◽  
Speech Quality ◽  
Simulation Environment ◽  
Matlab Simulation ◽  
Distortion Measure ◽  
Simulation Results ◽  
Objective Speech Quality

The speech quality is one of the most important indexes to evaluate the communication system. The objective evaluation is the last goal that people have been pursuing. The most efficient evaluation methods based on the spectrum distortion measure was analysed. The objective evaluation method based on wavelet spectrum distortion measure was simulated on the Matlab simulation environment. The simulation results show that Matlab was very suit to analyse the speech quality. The objective evaluation rules are found out on Matlab and the objective evaluation method was achieved.

Perception-Based Speech Quality Measurement in Modern Telecommunications

2010 ◽  
pp. 235-247
Author(s):  
Abdulhussain E. Mahdi
Keyword(s):  
Quality Of Service ◽  
Network Management ◽  
Quality Evaluation ◽  
Quality Measurement ◽  
Speech Quality ◽  
Telecommunication Networks ◽  
Management Evaluation ◽  
Listening Tests ◽  
Objective Speech Quality

Speech quality is the most visible and important aspect of quality of service (QoS) for telecommunication networks. Hence, the ability to monitor and design for this quality has become a top priority. Speech quality refers to the clearness of a speaker’s voice as perceived by a listener. Speech quality measurement offers a means of adding the human end user’s perspective to traditional ways of performing network management evaluation of voice telephony services. Traditionally, measurement of users’ perception of speech quality has been performed by expensive and time-consuming subjective listening tests. Over the last three decades, numerous attempts have been made to supplement subjective tests with objective measurements based on algorithms that can be computerised and automated. This chapter describes the technicalities associated with speech quality measurement, and presents a review of current subjective and objective speech quality evaluation methods and standards in telecommunications.

Sign in / Sign up

Export Citation Format

Share Document