Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/2248
Full metadata record
DC FieldValueLanguage
dc.contributor.authorSunnydayal, V.-
dc.contributor.authorKishore Kumar, T.-
dc.date.accessioned2024-12-30T10:46:26Z-
dc.date.available2024-12-30T10:46:26Z-
dc.date.issued2013-08-
dc.identifier.citation10.1109/ICACCI.2013.6637140en_US
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/2248-
dc.descriptionNITWen_US
dc.description.abstracthis paper introduces a novel speech enhancement system based on sub-band wiener filter with pitch synchronous analysis. The perceptual filter bank provides a good auditory representation, good perceptual quality of speech. Sub-band wiener filter based Pitch synchronous analysis reduces drawbacks of fixed window shift. To increase the inter frame similarities the shift of analysis window is based on pitch period. The pitch is extracted by using clipping level method. Further, to reduce noise each sub-band is wiener filtered using a priori SNR with adaptive parameter. Wavelets transform based wiener filter approach works well than DCT based approach. Objective (SNR, segSNR, LLR, LSD, IS,WSS) experiments prove that the new speech enhancement system is capable of significant noise reductionen_US
dc.language.isoenen_US
dc.publisherProceedings of the 2013 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2013en_US
dc.subjectSpeech enhancementen_US
dc.subjectSpeech Processingen_US
dc.subjectWavelet packet transformen_US
dc.titleSpeech enhancement using sub-band wiener filter with pitch synchronous analysisen_US
dc.typeOtheren_US
Appears in Collections:Electronics and Communication Engineering

Files in This Item:
File Description SizeFormat 
2.1IEEE.pdf563.53 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.