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

نویسندگان

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

We present a prototype system for Blind Source Separation (BSS) of many speech signals. Our system uses 8 microphones located at the vertexes of a 4cm×4cm×4cm cube and has the ability to separate signals distributed in three-dimensional space (Fig. 1). The mixed signals observed by the microphone array are processed by Independent Component Analysis (ICA)[1] in the frequency domain and separated into a given number of signals (up to 8). The system estimates the directions of arrival (DOA) of the source signals as a by-product of the separation process. In our previous work [2], we described the separation of 6 source signals of simulation data, i.e. signals made by convolving impulse responses. In contrast, this prototype system performs an on-the-spot BSS of live recorded signals. The system specifications are summarized in Table 1. The key technologies used in our system are as follows.

برای دانلود رایگان 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

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

DOA estimation of speech signals using semi-blind source separation techniques

In this paper we investigate the application of complex independent component analysis (ICA) to the direction of arrival (DOA) estimation problem of wideband signals. The ICA based technique is semi-blind in the sense that the structure of the array is known to be uniform and linear (ULA). We show that when the array is ULA the mixing matrix is forced to have the structure imposed by the direct...

متن کامل

Blind source separation combining frequency-domain ICA and beamforming

In this paper, we describe a new method of blind source separation (BSS) on a microphone array combining subband independent component analysis (ICA) and beamforming. The proposed array system consists of the following three sections: (1) subband-ICA-based BSS section with direction-of-arrival (DOA) estimation, (2) null beamforming section based on the estimated DOA information, and (3) integra...

متن کامل

Blind Source Separation Combining Independent Component Analysis and Beamforming

We describe a new method of blind source separation (BSS) on a microphone array combining subband independent component analysis (ICA) and beamforming. The proposed array system consists of the following three sections: (1) subband ICA-based BSS section with estimation of the direction of arrival (DOA) of the sound source, (2) null beamforming section based on the estimated DOA, and (3) integra...

متن کامل

Experimental Studies on Doa Estimation Based on Blind Signal Separation and Array Signal Processing

In many applications, the direction-of-arrival (DOA) estimation problem is of great interest. After blind separation of the signals incident onto the receiving sensor array, the DOAs can be estimated for each source individually. Non-Gaussian signals with negative kurtosis can be automatically captured by the constant modulus (CM) array, which is the most striking blind beamforming algorithm an...

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

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2004