About: Enhanced Spectral Subtraction Method for Noise Reduction with Minimal Speech Distortion     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
Description
  • In this paper, we propose a method for enhancing speech corrupted by broadband noise. The method is based on the spectral subtraction technique. Besides reducing the noise conventional spectral subtraction introduces an annoying residual musical noise. To eliminate the musical noise we propose to introduce reduced varying scaling factor of spectral subtraction, with a following application of weighted function. Weighting function, used in the proposed algorithm, attenuates frequency spectrum components lying outside identified formants regions. Algorithm effects a substantial reduction of the musical noise without significantly distorting the speech. Listening tests were performed to determinate the subjective quality and intelligibility of speech enhanced by our method.
  • In this paper, we propose a method for enhancing speech corrupted by broadband noise. The method is based on the spectral subtraction technique. Besides reducing the noise conventional spectral subtraction introduces an annoying residual musical noise. To eliminate the musical noise we propose to introduce reduced varying scaling factor of spectral subtraction, with a following application of weighted function. Weighting function, used in the proposed algorithm, attenuates frequency spectrum components lying outside identified formants regions. Algorithm effects a substantial reduction of the musical noise without significantly distorting the speech. Listening tests were performed to determinate the subjective quality and intelligibility of speech enhanced by our method. (en)
Title
  • Enhanced Spectral Subtraction Method for Noise Reduction with Minimal Speech Distortion
  • Enhanced Spectral Subtraction Method for Noise Reduction with Minimal Speech Distortion (en)
skos:prefLabel
  • Enhanced Spectral Subtraction Method for Noise Reduction with Minimal Speech Distortion
  • Enhanced Spectral Subtraction Method for Noise Reduction with Minimal Speech Distortion (en)
skos:notation
  • RIV/68407700:21230/10:00171009!RIV11-MSM-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • S, Z(MSM6840770014)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 257229
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/10:00171009
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • speech enhancement, spectral subtraction; musical noise; weighting function; noise estimation; VAD (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [04626347A04C]
http://linked.open...v/mistoKonaniAkce
  • Rio de Janeiro
http://linked.open...i/riv/mistoVydani
  • Rio de Janeiro
http://linked.open...i/riv/nazevZdroje
  • IWSSIP 2010 Proceedings
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Šimák, Boris
  • Verteletskaya, Ekaterina
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • EdUFF - Editora da Universidade Federal Fluminense
https://schema.org/isbn
  • 978-85-228-0565-5
http://localhost/t...ganizacniJednotka
  • 21230
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 58 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software