Monaural Speech Separation Based on Computational Auditory Scene Analysis and Objective Quality Assessment of Speech
نویسندگان
چکیده
منابع مشابه
Improved monaural speech segregation based on computational auditory scene analysis
A lot of effort has been made in Computational Auditory Scene Analysis (CASA) to segregate target speech from monaural mixtures. Based on the principle of CASA, this article proposes an improved algorithm for monaural speech segregation. To extract the energy feature more accurately, the proposed algorithm improves the threshold selection for response energy in initial segmentation stage. Since...
متن کامل16 Separation of Speech by Computational Auditory Scene Analysis
The term auditory scene analysis (ASA) refers to the ability of human listeners to form perceptual representations of the constituent sources in an acoustic mixture, as in the well-known ‘cocktail party’ effect. Accordingly, computational auditory scene analysis (CASA) is the field of study which attempts to replicate ASA in machines. Some CASA systems are closely modelled on the known stages o...
متن کاملAn Auditory Scene Analysis Approach to Monaural Speech Segregation
A human listener has the remarkable ability to segregate an acoustic mixture and attend to a target sound. This perceptual process is called auditory scene analysis (ASA). Moreover, the listener can accomplish much of auditory scene analysis with only one ear. Research in ASA has inspired many studies in computational auditory scene analysis (CASA) for sound segregation. In this chapter we intr...
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15 صفحه اولMonaural Speech Separation
Monaural speech separation has been studied in previous systems that incorporate auditory scene analysis principles. A major problem for these systems is their inability to deal with speech in the highfrequency range. Psychoacoustic evidence suggests that different perceptual mechanisms are involved in handling resolved and unresolved harmonics. Motivated by this, we propose a model for monaura...
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ژورنال
عنوان ژورنال: IEEE Transactions on Audio, Speech and Language Processing
سال: 2006
ISSN: 1558-7916
DOI: 10.1109/tasl.2006.883258