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US08843364B2 Language informed source separation 有权
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Language informed source separation
Abstract:
Methods and systems for non-negative hidden Markov modeling of signals are described. For example, techniques disclosed herein may be applied to signals emitted by one or more sources. The modeling may be constrained according to high level information. In some embodiments, methods and systems may enable the separation of a signal's various components. As such, the systems and methods disclosed herein may find a wide variety of applications. In audio-related fields, for example, these techniques may be useful in music recording and processing, source separation/extraction, noise reduction, teaching, automatic transcription, electronic games, audio search and retrieval, and many other applications.
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