Real‐time guitar radiation sound synthesis of forced string and body eigenfrequency vibrations using microphone array techniques.

2009 ◽  
Vol 125 (4) ◽  
pp. 2515-2515
Author(s):  
Rolf Bader
Keyword(s):  
Real Time ◽  
Microphone Array ◽  
Sound Synthesis

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.

A Real-Time Multiple Acoustic Sources Localization Method Using Widely Spaced Microphone Array

2013 ◽  
Vol 391 ◽  
pp. 580-583 ◽  
Author(s):  
Tian Yi Gu ◽  
Zhao Zhao ◽  
Ya Qi Wu ◽  
Zhi Yong Xu ◽  
Jing Yi Wang
Keyword(s):  
Real Time ◽  
Microphone Array ◽  
Localization Method ◽  
Cluster Process ◽  
Sound Detection ◽  
Acoustic Sources ◽  
Phase Differences

A real-time disambiguous localization method for multiple acoustic sources using widely spaced microphone array is proposed in this paper. The observation signals in each frame are firstly discriminated utilizing conventional energy-based sound detection measurement. Using inter-microphone phase differences (IPD), as well as an iterative cluster process, the DOAs of sources can be estimated while the phase wrapping ambiguity in conventional DUET is avoided.

Real-Time Sound Synthesis of Audience Applause

2020 ◽  
Vol 68 (4) ◽  
pp. 261-272 ◽  
Author(s):  
Jake Lee ◽  
Joshua Reiss
Keyword(s):  
Real Time ◽  
Sound Synthesis

Performance of an HMM speech recognizer using a real-time tracking microphone array as input

1999 ◽  
Vol 7 (3) ◽  
pp. 346-349 ◽  
Author(s):  
T.B. Hughes ◽  
Hong-Seok Kim ◽  
J.H. DiBiase ◽  
H.F. Silverman
Keyword(s):  
Real Time ◽  
Microphone Array ◽  
Real Time Tracking ◽  
Speech Recognizer
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