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- The Dempster-Shafer Theory for Statistical Model-Based Voice Activity Detection and Method for Improving Performance thereof
- The Dempster-Shafer Theory for Statistical Model-Based Voice Activity Detection and Method for Improving Performance thereof
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机译:-用于基于统计模型的语音活动检测的Dempster-Shafer理论及其提高性能的方法
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摘要
Disclosed are a statistical model-based voice detector based on a Dempster-Shafer theory (DST), capable of withdrawing the final voice existence probability, and a performance improvement method thereof. According to the present invention, the method comprises the following steps: finding each likelihood ratio from a plurality of statistical model-based voice detectors based on a complex Gaussian distribution; using each likelihood ratio to withdraw each voice existence probability; modifying each voice existence probability into basic probability assignment (BPA) considering each entropy; and combining a plurality of modified BPAs to withdraw the final voice existence probability, and to use the same in voice detection.
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