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Applied speech processing = algorith...

Dey, Nilanjan, (1984-)

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Applied speech processing = algorithms and case studies /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Applied speech processing/ Nilanjan Dey.
Reminder of title:	algorithms and case studies /
Author:	Dey, Nilanjan,
Published:	Amsterdam :Academic Press, : 2021.,
Description:	1 online resource.
[NT 15003449]:	1. Comparative Analysis of Machine Learning Algorithms for Audio Event Classification using Mel Frequency Cepstral Coefficients 2. Closed-Set Speaker Identification System based on MFCC and PNCC features in Combination with Different Fusion Strategy 3. Kurtosis Data Selective Affine Projection Adaptive Filtering Algorithm for Speech Processing Applications 4. A novel approach towards phoneme-to-viseme mapping in Malayalam 5. Modified Least Mean Square Adaptive Noise Reduction Algorithm for Speech Enhancement 6. Recursive noise estimation-based Wiener filtering for monaural speech enhancement 7. Unsupervised Speech Enhancement based on Phase Aware Time-Frequency Mask Estimation.
Subject:	Speech processing systems - Mathematical models. -
Online resource:	https://www.sciencedirect.com/science/book/9780128238981
ISBN:	9780128242131 (electronic bk.)

Applied speech processing = algorithms and case studies /
Dey, Nilanjan,1984-

Applied speech processingalgorithms and case studies /[electronic resource] :Nilanjan Dey. - Amsterdam :Academic Press,2021. - 1 online resource. - Primers in biomedical imaging devices and systems. - Primers in biomedical imaging devices and systems..

1. Comparative Analysis of Machine Learning Algorithms for Audio Event Classification using Mel Frequency Cepstral Coefficients 2. Closed-Set Speaker Identification System based on MFCC and PNCC features in Combination with Different Fusion Strategy 3. Kurtosis Data Selective Affine Projection Adaptive Filtering Algorithm for Speech Processing Applications 4. A novel approach towards phoneme-to-viseme mapping in Malayalam 5. Modified Least Mean Square Adaptive Noise Reduction Algorithm for Speech Enhancement 6. Recursive noise estimation-based Wiener filtering for monaural speech enhancement 7. Unsupervised Speech Enhancement based on Phase Aware Time-Frequency Mask Estimation.

ISBN: 9780128242131 (electronic bk.)

Nat. Bib. No.: GBC0H3702bnbSubjects--Topical Terms:

2137767
Speech processing systems
--Mathematical models.Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: TK7882.S65

Dewey Class. No.: 006.454

Applied speech processing = algorithms and case studies /
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008 230530s2021 ne o 000 0 eng
015 $a GBC0H3702 $2 bnb
020 $a 9780128242131 (electronic bk.)
020 $a 9780128238981 (pbk.)
035 $a 022357536
040 $a StDuBDS $b eng $c StDuBDS $d Uk
041 0 $a eng
050 4 $a TK7882.S65
082 0 4 $a 006.454 $2 23
100 1 $a Dey, Nilanjan, $d 1984- $3 3408435
245 1 0 $a Applied speech processing $h [electronic resource] : $b algorithms and case studies / $c Nilanjan Dey.
260 $a Amsterdam : $b Academic Press, $c 2021.
300 $a 1 online resource.
490 1 $a Primers in biomedical imaging devices and systems
505 0 $a 1. Comparative Analysis of Machine Learning Algorithms for Audio Event Classification using Mel Frequency Cepstral Coefficients 2. Closed-Set Speaker Identification System based on MFCC and PNCC features in Combination with Different Fusion Strategy 3. Kurtosis Data Selective Affine Projection Adaptive Filtering Algorithm for Speech Processing Applications 4. A novel approach towards phoneme-to-viseme mapping in Malayalam 5. Modified Least Mean Square Adaptive Noise Reduction Algorithm for Speech Enhancement 6. Recursive noise estimation-based Wiener filtering for monaural speech enhancement 7. Unsupervised Speech Enhancement based on Phase Aware Time-Frequency Mask Estimation.
650 0 $a Speech processing systems $x Mathematical models. $3 2137767
650 0 $a Speech processing systems $v Case studies. $3 3614893
655 4 $a Electronic books. $2 lcsh $3 542853
830 0 $a Primers in biomedical imaging devices and systems. $3 3614889
856 4 0 $u https://www.sciencedirect.com/science/book/9780128238981