Semi-blind Source Separation Based on ICA and Overlapped Speech Detection
نویسندگان
چکیده
We propose a semi-blind method for separation of stereo recordings of several sources. The method begins with computation of a set of cancellation filters for potential fixed positions of the sources. These filters are computed from one-source-only intervals selected upon cross-talk detection. Each source in some of the fixed positions is canceled by the corresponding filter, by which the other sources are separated. The former source can be then separated by adaptive suppression of the separated sources. To select the appropriate cancellation filter, we use Independent Component Analysis. The performance of the proposed method is verified on real-world SiSEC data with two fixed and/or moving sources.
منابع مشابه
Blind separation and deconvolution for convolutive mixture of speech using SIMO-model-based ICA and multichannel inverse filtering
We propose a new two-stage blind separation and deconvolution (BSD) algorithm for a convolutive mixture of speech, in which a new Single-Input Multiple-Output (SIMO)-modelbased ICA (SIMO-ICA) and blind multichannel inverse filtering are combined. SIMO-ICA can separate the mixed signals, not into monaural source signals but into SIMO-model-based signals from independent sources as they are at th...
متن کاملDOA 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 کاملBlind Separation and Deconvolution for Convolutive Mixture of Speech Combining SIMO-Model-Based ICA and Multichannel Inverse Filtering
We propose a new two-stage blind separation and deconvolution strategy for multiple-input multiple-output (MIMO)-FIR systems driven by colored sound sources, in which single-input multiple-output (SIMO)-model-based ICA (SIMO-ICA) and blind multichannel inverse filtering are combined. SIMO-ICA can separate the mixed signals, not into monaural source signals but into SIMO-model-based signals from...
متن کاملDoctoral Dissertation Blind Source Separation Based on Multistage Independent Component Analysis
A hands-free speech recognition system and a hands-free telecommunication system are essential for realizing an intuitive, unconstrained, and stress-free human-machine interface. In real acoustic environments, however, the speech recognition performance and a speech recording performance significantly degraded because we cannot detect the user’s speech with a high signal-to-noise ratio (SNR) ow...
متن کاملDetection and Positioning of Overlapped Sounds in a Room Environment
The description of the acoustic activity in a room environment has to face the problem of overlapped sounds, i.e. those which occur simultaneously. That problem can be tackled by carrying out some kind of source signal separation followed by the detection and recognition of the identity of each of the overlapped sounds. An alternative approach relies on modeling all possible overlapping combina...
متن کاملذخیره 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 2012