Array Geometry Arrangement for Frequency Domain Blind Source Separation

نویسندگان

  • Ryo Mukai
  • Hiroshi Sawada
  • Shoko Araki
  • Shoji Makino
چکیده

In this paper, we propose a method for solving the permutation problem of frequency domain blind source separation (BSS) when the number of source signals is large, and the potential source locations are omnidirectional. Geometric information such as direction of arrival is helpful for solving the permutation problem, but the information becomes more uncertain as the number of source signals increases. When we use a linear microphone array, we cannot obtain reliable geometric information due to the ambiguity and sensitivity inherent to the array geometry. We propose a combination of small and large spacing microphone pairs that have various axis directions. Experimental results show that the proposed method can separate a mixture of speech signals that come from various directions, even when some come from the same direction.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Blind Source Separation of Convolutive Mixtures of Speech in Frequency Domain

This paper overviews a total solution for frequencydomain blind source separation (BSS) of convolutive mixtures of audio signals, especially speech. Frequency-domain BSS performs independent component analysis (ICA) in each frequency bin, and this is more efficient than time-domain BSS. We describe a sophisticated total solution for frequency-domain BSS, including permutation, scaling, circular...

متن کامل

Real-time Blind Source Separation and Doa Estimation Using Small 3-d Microphone Array

We present a prototype system for real-time blind source separation (BSS) and directions of arrival (DOA) estimation. Our system uses a small three-dimensional array with 8 microphones and has the ability to separate signals distributed in threedimensional space. The mixed signals observed by the microphone array are processed by Independent Component Analysis (ICA) in the frequency domain. The...

متن کامل

Bilinear signal synthesis in array processing

|Multiple source signals impinging on an antenna array can be separated by time-frequency synthesis techniques. Averaging of the time-frequency distributions of the data across the array permits the spatial signatures of sources to play a fundamental role in improving the synthesis performance. Array averaging introduces a weighing function in the time-frequency (t-f) domain that decreases the ...

متن کامل

Blind separation of sources based on their time-frequency signatures

Blind source separation based on spatial time-frequency distributions (STFDs) has been recently introduced. This method provides improved performance over blind source separation methods based on second-order statistics, when dealing with nonstationary signals that are localizable in the time-frequency domain. In the STFD method, the covariance matrix is rst used to whiten the signal vector, th...

متن کامل

Overdetermined Blind Separation of Acoustic Signals Based on MISO-Constrained Frequency-Domain ICA

We propose a new overdetermined blind source separation (BSS) using frequency-domain independent component analysis (FDICA) based on multiple-input singleoutput (MISO) constraint. To achieve a superior separation performance under reverberant environments, we set the number of microphones to be larger than that of sources. This leads to alternative problems in which the sound qualities of the s...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2003