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Paper Abstract and Keywords
Presentation 2016-03-05 09:30
Hearing Aid with Lip Reading -- Speech Enhancement using Vowel Estimation --
Yuzuru Iinuma, Tetsuya Matsumoto (Nagoya Univ.), Yoshinori Takeuchi (Daido Univ.), Hiroaki Kudo, Noboru Ohnishi (Nagoya Univ.) WIT2015-98
Abstract (in Japanese) (See Japanese page) 
(in English) Under highly noisy environments such as construction sites and cocktail parties, it is difficult for not only humans but also computers to understand speeches only by hearing. It is, however, possible to improve speech recognition accuracy even in such environments by using visual information, just as humans can do so. In this paper we try to improve speech recognition accuracy by adding the image information (especially information of the lips), and implementing the method of lip reading to capture the lip movements.
Then, we propose a hearing aid system which estimates the vowels from the lip movement, and enhances speech by applying a vowel-filter matched to the estimated vowel. This system is expected to perform high speech recognition accuracy not-depending on the type of noises. The proposed system consists of three parts: face-lip feature extraction, vowel estimation by the extracted features, and speech enhancement. In the face-lip feature extraction, feature points are acquired by using the Active Appearance Model. The vowel is estimated from face images by using a multilayer perceptron. Finally, input speech corrupted with noise is enhanced by applying a Butterworth filter matched to the estimated vowel.
We conducted experiments to evaluate the system performances.
In the experiment of vowel recognition from images, F value is low as 0.383 at the best. This is caused by a problem in obtaining the data, and it said that we have to prepare a large amount of more natural speech data. In the experiment of voice recognition, recognition rate by the machine under SNR 0 dB (street noise) is 40 % when applying the speech enhancement filter, while it is 48 % when not applying. Thus the application of the enhancement filter results low accuracy in the machine recognition. This suggests that the proposed method is not suitable for recognition by the machine. In the experiment of monophonic vowel discrimination by humans, however, the recognition rate under SNR -15 dB (street noise) is 90 % when applying the speech enhancement filter , while it is 40 % when not applying. There is a significant accuracy improvement of 50 %. Similarly in the case of SNR -15dB using cocktail party noise, the recognition rate after application of the speech enhancement filter is 96 %, while it is 34 % before application.
It is said that application of the vowel enhancement filter can improve accuracy regardless of the type of noises.
Keyword (in Japanese) (See Japanese page) 
(in English) Lip Reading / Hearing Aid / Speech Enhancement / / / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 491, WIT2015-98, pp. 53-58, March 2016.
Paper # WIT2015-98 
Date of Issue 2016-02-26 (WIT) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
Copyright
and
reproduction
技術研究報告に掲載された論文の著作権はIEICEに帰属します.(許諾番号:10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF WIT2015-98

Conference Information
Committee WIT  
Conference Date 2016-03-04 - 2016-03-05 
Place (in Japanese) (See Japanese page) 
Place (in English) Tusukuba Univ. of Tech.(Tsukuba) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Hearing / Visually impaired person support technology, etc. 
Paper Information
Registration To WIT 
Conference Code 2016-03-WIT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Hearing Aid with Lip Reading 
Sub Title (in English) Speech Enhancement using Vowel Estimation 
Keyword(1) Lip Reading  
Keyword(2) Hearing Aid  
Keyword(3) Speech Enhancement  
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1st Author's Name Yuzuru Iinuma  
1st Author's Affiliation Nagoya University (Nagoya Univ.)
2nd Author's Name Tetsuya Matsumoto  
2nd Author's Affiliation Nagoya University (Nagoya Univ.)
3rd Author's Name Yoshinori Takeuchi  
3rd Author's Affiliation Daido University (Daido Univ.)
4th Author's Name Hiroaki Kudo  
4th Author's Affiliation Nagoya University (Nagoya Univ.)
5th Author's Name Noboru Ohnishi  
5th Author's Affiliation Nagoya University (Nagoya Univ.)
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Speaker
Date Time 2016-03-05 09:30:00 
Presentation Time 25 
Registration for WIT 
Paper # IEICE-WIT2015-98 
Volume (vol) IEICE-115 
Number (no) no.491 
Page pp.53-58 
#Pages IEICE-6 
Date of Issue IEICE-WIT-2016-02-26 


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