scholarly journals Continuous Speech Separation with Ad Hoc Microphone Arrays

2021 ◽  
Author(s):  
Dongmei Wang ◽  
Takuya Yoshioka ◽  
Zhuo Chen ◽  
Xiaofei Wang ◽  
Tianyan Zhou ◽  
...  
Keyword(s):  
Ad Hoc ◽  
Microphone Arrays ◽  
Speech Separation ◽  
Continuous Speech

scholarly journals Sound Localization for Ad-Hoc Microphone Arrays

Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3446
Author(s):  
Muhammad Usman Liaquat ◽  
Hafiz Suliman Munawar ◽  
Amna Rahman ◽  
Zakria Qadir ◽  
Abbas Z. Kouzani ◽  
...  
Keyword(s):  
Sound Localization ◽  
Sound Source ◽  
Ad Hoc ◽  
Dimensional Space ◽  
Computation Time ◽  
Location Estimation ◽  
Microphone Arrays ◽  
Sound Signal ◽  
Experimental Arrangement ◽  
Advantages And Disadvantages

Sound localization is a field of signal processing that deals with identifying the origin of a detected sound signal. This involves determining the direction and distance of the source of the sound. Some useful applications of this phenomenon exists in speech enhancement, communication, radars and in the medical field as well. The experimental arrangement requires the use of microphone arrays which record the sound signal. Some methods involve using ad-hoc arrays of microphones because of their demonstrated advantages over other arrays. In this research project, the existing sound localization methods have been explored to analyze the advantages and disadvantages of each method. A novel sound localization routine has been formulated which uses both the direction of arrival (DOA) of the sound signal along with the location estimation in three-dimensional space to precisely locate a sound source. The experimental arrangement consists of four microphones and a single sound source. Previously, sound source has been localized using six or more microphones. The precision of sound localization has been demonstrated to increase with the use of more microphones. In this research, however, we minimized the use of microphones to reduce the complexity of the algorithm and the computation time as well. The method results in novelty in the field of sound source localization by using less resources and providing results that are at par with the more complex methods requiring more microphones and additional tools to locate the sound source. The average accuracy of the system is found to be 96.77% with an error factor of 3.8%.

Variational Probabilistic Speech Separation Using Microphone Arrays

2007 ◽  
Vol 15 (1) ◽  
pp. 135-149 ◽  
Author(s):  
Steven J. Rennie ◽  
Parham Aarabi ◽  
Brendan J. Frey
Keyword(s):  
Microphone Arrays ◽  
Speech Separation

Distributed max-SINR speech enhancement with ad hoc microphone arrays

2017 ◽  
Author(s):  
Vincent M. Tavakoli ◽  
Jesper R. Jensen ◽  
Richard Heusdens ◽  
Jacob Benesty ◽  
Mads G. Christensen
Keyword(s):  
Speech Enhancement ◽  
Ad Hoc ◽  
Microphone Arrays

scholarly journals A Framework for Speech Enhancement With Ad Hoc Microphone Arrays

2016 ◽  
Vol 24 (6) ◽  
pp. 1038-1051 ◽  
Author(s):  
Vincent Mohammad Tavakoli ◽  
Jesper Rindom Jensen ◽  
Mads Graecboll Christensen ◽  
Jacob Benesty
Keyword(s):  
Speech Enhancement ◽  
Ad Hoc ◽  
Microphone Arrays

Glottal Model Based Speech Beamforming for ad-hoc Microphone Arrays

2017 ◽  
Author(s):  
Yang Zhang ◽  
Dinei Florêncio ◽  
Mark Hasegawa-Johnson
Keyword(s):  
Ad Hoc ◽  
Microphone Arrays ◽  
Model Based
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