2018
DOI: 10.13053/cys-21-4-2846
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Post-Processing for the Mask of Computational Auditory Scene Analysis in Monaural Speech Segregation

Abstract: Speech segregation is one of the most difficult tasks in speech processing. This paper uses computational auditory scene analysis, support vector machine classifier, and post-processing on binary mask to separate speech from background noise. Melfrequency cepstral coefficients and pitch are the two features used for support vector machine classification. Connected Component Labeling, Hole Filling, and Morphology are applied on the resulting binary mask as post-processing. Experimental results show that our met… Show more

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“…1. Testing usability in an application developed with augment reality, translation from voice to text (using a sound filter since the recognition rate of a speech or speaker recognition system can decline to a lot by the influence of noise [18]) and incorporate videos activated with codes QR in SL as a means of access to information. (used Linguistic Knowledge for Machine Translation Evaluation as proposed by Samiksha [19]).…”
Section: Future Workmentioning
confidence: 99%
“…1. Testing usability in an application developed with augment reality, translation from voice to text (using a sound filter since the recognition rate of a speech or speaker recognition system can decline to a lot by the influence of noise [18]) and incorporate videos activated with codes QR in SL as a means of access to information. (used Linguistic Knowledge for Machine Translation Evaluation as proposed by Samiksha [19]).…”
Section: Future Workmentioning
confidence: 99%