Invention Grant
- Patent Title: Non-negative hidden Markov modeling of signals
- Patent Title (中): 信号的非负隐马尔科夫模型
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Application No.: US13031357Application Date: 2011-02-21
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Publication No.: US08554553B2Publication Date: 2013-10-08
- Inventor: Gautham J. Mysore , Paris Smaragdis
- Applicant: Gautham J. Mysore , Paris Smaragdis
- Applicant Address: US CA San Jose
- Assignee: Adobe Systems Incorporated
- Current Assignee: Adobe Systems Incorporated
- Current Assignee Address: US CA San Jose
- Agency: Wolfe-SBMC
- Main IPC: G10L21/02
- IPC: G10L21/02

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. 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 extraction, noise reduction, teaching, automatic transcription, electronic games, audio search and retrieval, and many other applications.
Public/Granted literature
- US20130132085A1 Systems and Methods for Non-Negative Hidden Markov Modeling of Signals Public/Granted day:2013-05-23
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