FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2890525540> ?p ?o ?g. }

• W2890525540 endingPage "78" @default.
• W2890525540 startingPage "78" @default.
• W2890525540 abstract "Varieties of environmental sources of noise and distortion can degrade the quality of the speech signal in a communication system. This research work explores the effects of these interfering sounds on speech applications and introduces a technique for reducing their influence and enhancing the acceptability and intelligibility of the speech signal. In this work, a noise reduction system using single microphone method in time domain to improve SNR of noise contaminated speech is proposed. Traditional Spectral Subtraction method has been reviewed very well and the relationship with wiener filter is also illustrated. The Spectral Subtraction method has been generalized and the focus is put on reducing noise from speech in single channel signals. Voice Activity Detector (VAD) is ignored in this proposed system, because a-priori information about the noise is assumed. The research has been conducted using Gaussian White Noise and Color Noise. The experimental result shows a remarkable improvement in SNR for the generalized version and it is noticed that the result is very much satisfactory when white noises are added but the addition of color noise produces a comparatively poor improvement report. The system has been tested with eight different datasets and on an average, 65.27% improvement in SNR (Signal to Noise Ratio) for White Noise using Generalized Spectral Subtraction Method is achieved comparing with Traditional Spectral Subtraction Method. The average improvement in SNR for Color Noise recorded is 53.31%. The Generalized Spectral Subtraction method is shown to improve the speech quality and to improve SNR as well." @default.
• W2890525540 created "2018-09-27" @default.
• W2890525540 creator A5008418685 @default.
• W2890525540 creator A5021605695 @default.
• W2890525540 creator A5063878336 @default.
• W2890525540 creator A5091181368 @default.
• W2890525540 date "2018-07-31" @default.
• W2890525540 modified "2023-10-18" @default.
• W2890525540 title "Noise Reduction from Speech Signals using Modified Spectral Subtraction Technique" @default.
• W2890525540 doi "https://doi.org/10.24018/ejers.2018.3.7.838" @default.
• W2890525540 hasPublicationYear "2018" @default.
• W2890525540 type Work @default.
• W2890525540 sameAs 2890525540 @default.
• W2890525540 citedByCount "1" @default.
• W2890525540 countsByYear W28905255402022 @default.
• W2890525540 crossrefType "journal-article" @default.
• W2890525540 hasAuthorship W2890525540A5008418685 @default.
• W2890525540 hasAuthorship W2890525540A5021605695 @default.
• W2890525540 hasAuthorship W2890525540A5063878336 @default.
• W2890525540 hasAuthorship W2890525540A5091181368 @default.
• W2890525540 hasBestOaLocation W28905255401 @default.
• W2890525540 hasConcept C111472728 @default.
• W2890525540 hasConcept C112633086 @default.
• W2890525540 hasConcept C113660513 @default.
• W2890525540 hasConcept C11413529 @default.
• W2890525540 hasConcept C114996537 @default.
• W2890525540 hasConcept C115961682 @default.
• W2890525540 hasConcept C138885662 @default.
• W2890525540 hasConcept C154945302 @default.
• W2890525540 hasConcept C163294075 @default.
• W2890525540 hasConcept C169334058 @default.
• W2890525540 hasConcept C182163834 @default.
• W2890525540 hasConcept C18537770 @default.
• W2890525540 hasConcept C187612029 @default.
• W2890525540 hasConcept C200378446 @default.
• W2890525540 hasConcept C2776182073 @default.
• W2890525540 hasConcept C2778263558 @default.
• W2890525540 hasConcept C28490314 @default.
• W2890525540 hasConcept C29265498 @default.
• W2890525540 hasConcept C41008148 @default.
• W2890525540 hasConcept C4199805 @default.
• W2890525540 hasConcept C55352655 @default.
• W2890525540 hasConcept C60048801 @default.
• W2890525540 hasConcept C68115822 @default.
• W2890525540 hasConcept C76155785 @default.
• W2890525540 hasConcept C9417928 @default.
• W2890525540 hasConcept C99498987 @default.
• W2890525540 hasConceptScore W2890525540C111472728 @default.
• W2890525540 hasConceptScore W2890525540C112633086 @default.
• W2890525540 hasConceptScore W2890525540C113660513 @default.
• W2890525540 hasConceptScore W2890525540C11413529 @default.
• W2890525540 hasConceptScore W2890525540C114996537 @default.
• W2890525540 hasConceptScore W2890525540C115961682 @default.
• W2890525540 hasConceptScore W2890525540C138885662 @default.
• W2890525540 hasConceptScore W2890525540C154945302 @default.
• W2890525540 hasConceptScore W2890525540C163294075 @default.
• W2890525540 hasConceptScore W2890525540C169334058 @default.
• W2890525540 hasConceptScore W2890525540C182163834 @default.
• W2890525540 hasConceptScore W2890525540C18537770 @default.
• W2890525540 hasConceptScore W2890525540C187612029 @default.
• W2890525540 hasConceptScore W2890525540C200378446 @default.
• W2890525540 hasConceptScore W2890525540C2776182073 @default.
• W2890525540 hasConceptScore W2890525540C2778263558 @default.
• W2890525540 hasConceptScore W2890525540C28490314 @default.
• W2890525540 hasConceptScore W2890525540C29265498 @default.
• W2890525540 hasConceptScore W2890525540C41008148 @default.
• W2890525540 hasConceptScore W2890525540C4199805 @default.
• W2890525540 hasConceptScore W2890525540C55352655 @default.
• W2890525540 hasConceptScore W2890525540C60048801 @default.
• W2890525540 hasConceptScore W2890525540C68115822 @default.
• W2890525540 hasConceptScore W2890525540C76155785 @default.
• W2890525540 hasConceptScore W2890525540C9417928 @default.
• W2890525540 hasConceptScore W2890525540C99498987 @default.
• W2890525540 hasIssue "7" @default.
• W2890525540 hasLocation W28905255401 @default.
• W2890525540 hasOpenAccess W2890525540 @default.
• W2890525540 hasPrimaryLocation W28905255401 @default.
• W2890525540 hasRelatedWork W1593272089 @default.
• W2890525540 hasRelatedWork W1899092665 @default.
• W2890525540 hasRelatedWork W2038762282 @default.
• W2890525540 hasRelatedWork W2046186789 @default.
• W2890525540 hasRelatedWork W2059407125 @default.
• W2890525540 hasRelatedWork W2097085462 @default.
• W2890525540 hasRelatedWork W2154477533 @default.
• W2890525540 hasRelatedWork W2158244599 @default.
• W2890525540 hasRelatedWork W2351378238 @default.
• W2890525540 hasRelatedWork W2358213851 @default.
• W2890525540 hasRelatedWork W2381588307 @default.
• W2890525540 hasRelatedWork W2386185650 @default.
• W2890525540 hasRelatedWork W2387364981 @default.
• W2890525540 hasRelatedWork W2492662200 @default.
• W2890525540 hasRelatedWork W2501559233 @default.
• W2890525540 hasRelatedWork W2564294402 @default.
• W2890525540 hasRelatedWork W2738431132 @default.
• W2890525540 hasRelatedWork W3158214398 @default.
• W2890525540 hasRelatedWork W3202242454 @default.
• W2890525540 hasRelatedWork W78785099 @default.
• W2890525540 hasVolume "3" @default.

• next