Objective Speech Quality Estimation of In-Ear Microphone Speech

2016 ◽  
Author(s):  
João Felipe Santos ◽  
Rachel Bouserhal ◽  
Jeremie Voix ◽  
Tiago Falk
Keyword(s):  
Speech Quality ◽  
Quality Estimation ◽  
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.

Speech Quality Estimation of an FBG Sensor-based Contact Microphone in Noisy Environment

2021 ◽  
Author(s):  
Chandan Kumar Jha ◽  
Sankha Subhra Bhattacharjee ◽  
Jainish Nileshkumar Chauhan ◽  
Arup Lal Chakraborty ◽  
Nithin V. George
Keyword(s):  
Speech Quality ◽  
Noisy Environment ◽  
Quality Estimation ◽  
Fbg Sensor
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