Modern microphone array for hearing aid and speech processing

1996 ◽  
Author(s):  
Arthur Wang ◽  
Kung Yao ◽  
Ralph E. Hudson ◽  
D. Korompis ◽  
Flavio Lorenzelli ◽  
...  
Keyword(s):  
Speech Processing ◽  
Microphone Array ◽  
Hearing Aid

scholarly journals Microphone Array Speech Processing

2010 ◽  
Vol 2010 (1) ◽  
Author(s):  
Sven Nordholm ◽  
ThusharaD Abhayapala ◽  
Simon Doclo ◽  
Sharon Gannot ◽  
P Naylor ◽  
...  
Keyword(s):  
Speech Processing ◽  
Microphone Array

scholarly journals A Real-Time Speech Separation Method Based on Camera and Microphone Array Sensors Fusion Approach

Sensors ◽  
2020 ◽  
Vol 20 (12) ◽  
pp. 3527
Author(s):  
Ching-Feng Liu ◽  
Wei-Siang Ciou ◽  
Peng-Ting Chen ◽  
Yi-Chun Du
Keyword(s):  
Real Time ◽  
Speech Processing ◽  
Microphone Array ◽  
Speech Sound ◽  
Separation Method ◽  
Supervised Machine Learning ◽  
Machine Language ◽  
Speech Separation ◽  
Real Time System ◽  
Stationary Noise

In the context of assisted human, identifying and enhancing non-stationary speech targets speech in various noise environments, such as a cocktail party, is an important issue for real-time speech separation. Previous studies mostly used microphone signal processing to perform target speech separation and analysis, such as feature recognition through a large amount of training data and supervised machine learning. The method was suitable for stationary noise suppression, but relatively limited for non-stationary noise and difficult to meet the real-time processing requirement. In this study, we propose a real-time speech separation method based on an approach that combines an optical camera and a microphone array. The method was divided into two stages. Stage 1 used computer vision technology with the camera to detect and identify interest targets and evaluate source angles and distance. Stage 2 used beamforming technology with microphone array to enhance and separate the target speech sound. The asynchronous update function was utilized to integrate the beamforming control and speech processing to reduce the effect of the processing delay. The experimental results show that the noise reduction in various stationary and non-stationary noise environments were 6.1 dB and 5.2 dB respectively. The response time of speech processing was less than 10ms, which meets the requirements of a real-time system. The proposed method has high potential to be applied in auxiliary listening systems or machine language processing like intelligent personal assistant.

scholarly journals Wideband microphone array for hearing aid preprocessing

1994 ◽  
Vol 96 (5) ◽  
pp. 3244-3245
Author(s):  
Kung Yao ◽  
Sigfrid D. Soli ◽  
Dan Korompis
Keyword(s):  
Microphone Array ◽  
Hearing Aid

scholarly journals A Microphone Array and Voice Algorithm based Smart Hearing Aid

2019 ◽  
Vol 178 (41) ◽  
pp. 1-6 ◽  
Author(s):  
Bharath Sudharsan ◽  
Manigandan Chockalingam
Keyword(s):  
Microphone Array ◽  
Hearing Aid

Improved BTE hearing‐aid directivity using a directional microphone array

2004 ◽  
Vol 115 (5) ◽  
pp. 2598-2598
Author(s):  
Douglas L. Jones ◽  
Michael E. Lockwood ◽  
Charissa R. Lansing ◽  
Albert S. Feng
Keyword(s):  
Microphone Array ◽  
Hearing Aid ◽  
Directional Microphone
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