Investigation on relationships between STI and speech intelligibility in listening tests on Japanese language for sound system design of auditoria

1997 ◽  
Vol 101 (5) ◽  
pp. 3050-3050
Author(s):  
Motoo Komoda
Keyword(s):  
System Design ◽  
Speech Intelligibility ◽  
Japanese Language ◽  
Sound System ◽  
Listening Tests

Investigation on relationships between speech intelligibility on Japanese language and STI for the design of the sound system of an auditorium

1996 ◽  
Vol 100 (4) ◽  
pp. 2803-2803
Author(s):  
Motoo Komoda ◽  
Matsumi Takeuchi ◽  
Katsuhiro Umekai
Keyword(s):  
Speech Intelligibility ◽  
Japanese Language ◽  
Sound System

Improved Environment-Aware–Based Noise Reduction System for Cochlear Implant Users Based on Knowledge Transfer Approach (Preprint)

2020 ◽  
Author(s):  
Lieber Po-Hung Li ◽  
Ji-Yan Han ◽  
Wei-Zhong Zheng ◽  
Ren-Jie Huang ◽  
Ying-Hui Lai
Keyword(s):  
Knowledge Transfer ◽  
Cochlear Implant ◽  
Noise Reduction ◽  
Speech Intelligibility ◽  
Middle Layer ◽  
Successful Implementation ◽  
Perceptual Evaluation ◽  
Reduction System ◽  
Listening Tests ◽  
Implementation Costs

BACKGROUND The cochlear implant technology is a well-known approach to help deaf patients hear speech again. It can improve speech intelligibility in quiet conditions; however, it still has room for improvement in noisy conditions. More recently, it has been proven that deep learning–based noise reduction (NR), such as noise classification and deep denoising autoencoder (NC+DDAE), can benefit the intelligibility performance of patients with cochlear implants compared to classical noise reduction algorithms. OBJECTIVE Following the successful implementation of the NC+DDAE model in our previous study, this study aimed to (1) propose an advanced noise reduction system using knowledge transfer technology, called NC+DDAE_T, (2) examine the proposed NC+DDAE_T noise reduction system using objective evaluations and subjective listening tests, and (3) investigate which layer substitution of the knowledge transfer technology in the NC+DDAE_T noise reduction system provides the best outcome. METHODS The knowledge transfer technology was adopted to reduce the number of parameters of the NC+DDAE_T compared with the NC+DDAE. We investigated which layer should be substituted using short-time objective intelligibility (STOI) and perceptual evaluation of speech quality (PESQ) scores, as well as t-distributed stochastic neighbor embedding to visualize the features in each model layer. Moreover, we enrolled ten cochlear implant users for listening tests to evaluate the benefits of the newly developed NC+DDAE_T. RESULTS The experimental results showed that substituting the middle layer (ie, the second layer in this study) of the noise-independent DDAE (NI-DDAE) model achieved the best performance gain regarding STOI and PESQ scores. Therefore, the parameters of layer three in the NI-DDAE were chosen to be replaced, thereby establishing the NC+DDAE_T. Both objective and listening test results showed that the proposed NC+DDAE_T noise reduction system achieved similar performances compared with the previous NC+DDAE in several noisy test conditions. However, the proposed NC+DDAE_T only needs a quarter of the number of parameters compared to the NC+DDAE. CONCLUSIONS This study demonstrated that knowledge transfer technology can help to reduce the number of parameters in an NC+DDAE while keeping similar performance rates. This suggests that the proposed NC+DDAE_T model may reduce the implementation costs of this noise reduction system and provide more benefits for cochlear implant users.

Signal-to-noise ratios in sound system design

2007 ◽  
Vol 122 (5) ◽  
pp. 2940
Author(s):  
Marshall Long
Keyword(s):  
System Design ◽  
Signal To Noise ◽  
Sound System

Sound system design for acoustically challenging spaces

2006 ◽  
Vol 120 (5) ◽  
pp. 3054-3054
Author(s):  
Akira Mochimaru ◽  
Soichiro Hayashi
Keyword(s):  
System Design ◽  
Sound System

Acoustical renovation and sound system design in a church in buenos aires, argentina

2017 ◽  
Vol 142 (4) ◽  
pp. 2661-2661
Author(s):  
Fernando M. del Solar Dorrego ◽  
Pablo Gardella
Keyword(s):  
System Design ◽  
Buenos Aires ◽  
Sound System

The Sound System Design Primer

2019 ◽  
Author(s):  
Josh Loar
Keyword(s):  
System Design ◽  
Sound System

SPEECH-INTELLIGIBILITY IMPROVEMENTS USING A BINAURAL ADAPTIVE-SCHEME BASED CONCEPTUALLY ON HUMAN AUDITORY PROCESSING

1999 ◽  
Vol 09 (05) ◽  
pp. 461-466 ◽  
Author(s):  
AMIR HUSSAIN ◽  
DOUGLAS R. CAMPBELL
Keyword(s):  
Auditory Processing ◽  
Speech Intelligibility ◽  
Wide Band ◽  
Describing Function ◽  
Processing Scheme ◽  
Adaptive Scheme ◽  
Listening Tests ◽  
Input Signals ◽  
Band Limited ◽  
Artificial Neural Network Ann

A speech enhancement scheme is presented using diverse processing in sub-bands spaced according to a human-cochlear describing function. The binaural adaptive scheme decomposes the wide-band input signals into a number of band-limited signals, superficially similar to the treatment the human ears perform on incoming signals. The results of a series of intelligibility and formal listening tests are presented in which acoustic speech signals corrupted with recorded automobile noise were presented to 15 normal hearing volunteer subjects. For the experimental cases considered, the proposed binaural adaptive sub-band processing scheme delivers a statistically significant improvement in terms of both speech-intelligibility and perceived quality when compared with both the conventional wide-band processed and the noisy unprocessed case. The scheme is capable of extension to a potentially more flexible sub-band processing method based on a constrained artificial neural network (ANN).

Computer Aided Sound System Design

2013 ◽  
pp. 1318-1365
Keyword(s):  
System Design ◽  
Sound System ◽  
Computer Aided
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