Blind Speech Separation in the Frequency Domain Using Assignment Problem Approach
نویسندگان
چکیده
منابع مشابه
Blind Signal Separation and Speech Recognition in the Frequency Domain
In this paper it is shown that a Blind Signal Separation (BSS) method in the frequency domain (FDBSS) improves significantly the speaker Signal to Interference Ratio (SIR) and the phoneme recognition score of a continuous speech, speaker-independent acoustic decoder in a multi-simultaneous-speaker office environment. Specifically, the efficiency of the presented FDBSS method is studied on a TIT...
متن کاملUsing the Bi-modality of Speech for Convolutive Frequency Domain Blind Speech Separation
The problem of blind source separation for the case of convolutive mixtures of speech is considered. A novel algorithm is proposed that exploits the bi-modality of speech. This is achieved by incorporating joint audio-visual features into an existing BSS algorithm for the purpose of improving the convergence rate of the source separation algorithm. The increase in the rate of convergence when u...
متن کاملFrequency Domain Blind Source Separation for Many Speech Signals
This paper presents 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. We propose a combination of small and large spacing sensor pairs with various axis directions in order to obtain proper geometric information for solving the permutation problem. Exp...
متن کاملOn Initial Seed Selection for Frequency Domain Blind Speech Separation
In this paper we address the problem of initial seed selection for frequency domain iterative blind speech separation (BSS) algorithms. The derivation of the seeding algorithm is guided by the goal to select samples which are likely to be caused by source activity and not by noise and at the same time originate from different sources. The proposed algorithm has moderate computational complexity...
متن کاملOn Initial Seed Selection for Frequency Domain Blind Speech Separation
In this paper we address the problem of initial seed selection for frequency domain iterative blind speech separation (BSS) algorithms. The derivation of the seeding algorithm is guided by the goal to select samples which are likely to be caused by source activity and not by noise and at the same time originate from different sources. The proposed algorithm has moderate computational complexity...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Research and Development on Information and Communication Technology
سال: 2011
ISSN: 1859-3534,1859-3534
DOI: 10.32913/mic-ict-research.v3.n8.330