HMM-Based Mask Estimation for a Speech Recognition Front-End Using Computational Auditory Scene Analysis
نویسندگان
چکیده
منابع مشابه
A computational auditory scene analysis system for robust speech recognition
We present a computational auditory scene analysis system for separating and recognizing target speech in the presence of competing speech or noise. We estimate, in two stages, the ideal binary time-frequency (T-F) mask which retains the mixture in a local TF unit if and only if the target is stronger than the interference within the unit. In the first stage, we use harmonicity to segregate the...
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In this paper, we propose a computational auditory scene analysis (CASA)–based front–end for two–microphone speech recognition in a car environment. One of the important issues associated with CASA is the accurate estimation of mask information for target speech separation within multiple microphone noisy speech. For such a task, the time–frequency mask information is compensated through the si...
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The human auditory system is, in a way, an engineering marvel. It is able to do wonderful things that powerful modern machines find extremely difficult. For instance, our auditory system is able to follow the lyrics of a song when the input is a mixture of speech and musical accompaniments. Another example is a party situation. Usually there are multiple groups of people talking, with laughter,...
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The field of computational auditory scene analysis (CASA) strives to build computer models of the human ability to interpret sound mixtures as the combination of distinct sources. A major obstacle to this enterprise is defining and incorporating the kind of high level knowledge of real-world signal structure exploited by listeners. Speech recognition, while typically ignoring the problem of non...
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ژورنال
عنوان ژورنال: IEICE Transactions on Information and Systems
سال: 2008
ISSN: 0916-8532,1745-1361
DOI: 10.1093/ietisy/e91-d.9.2360