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Advances in speech and music technol...

Frontiers of Research in Speech and Music (Symposium) (2020 :)

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Advances in speech and music technology = proceedings of FRSM 2020 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advances in speech and music technology/ edited by Anupam Biswas ... [et al.].
Reminder of title:	proceedings of FRSM 2020 /
remainder title:	FRSM 2020
other author:	Biswas, Anupam.
corporate name:	Frontiers of Research in Speech and Music (Symposium)
Published:	Singapore :Springer Singapore : : 2021.,
Description:	xxvi, 462 p. :ill., digital ;24 cm.
[NT 15003449]:	Musical Signal Processing - A Literature Survey -- Noise Removal from Audio Using CNN and Denoiser -- Sine-Wave Speech as Pre-processing for Downstream Tasks -- Style of Vocal Singers in Indian Classical Music: Timbre Approach -- Style Identification of Vocal Singers in Indian Classical Music Using Meend and Andolan -- Vocalist Identification in Audio Songs Using Convolutional Neural Network -- Swaragram: Shruti-based Chromagram for Indian Classical Music -- An Artificial Intelligence-based Approach Towards Segregation of Folk Songs -- Shruti Detection Using Machine Learning and Sargam Identification for Instrumental Audio -- Addressing the Recitative Problem in Real-time Opera Tracking -- Perception of Similarity and Dissimilarity in Hindustani Classical Music -- Analytical Comparison of Classification Models for Raga Identification in Carnatic Classical Audio -- Multimodal Sentiment Analysis of Rabindra- Sangeet through Machine Learning Techniques.
Contained By:	Springer Nature eBook
Subject:	Speech processing systems - Congresses. -
Online resource:	https://doi.org/10.1007/978-981-33-6881-1
ISBN:	9789813368811

Advances in speech and music technology = proceedings of FRSM 2020 /
Advances in speech and music technologyproceedings of FRSM 2020 /[electronic resource] :FRSM 2020edited by Anupam Biswas ... [et al.]. - Singapore :Springer Singapore :2021. - xxvi, 462 p. :ill., digital ;24 cm. - Advances in intelligent systems and computing,v.13202194-5357 ;. - Advances in intelligent systems and computing ;v.1320..

Musical Signal Processing - A Literature Survey -- Noise Removal from Audio Using CNN and Denoiser -- Sine-Wave Speech as Pre-processing for Downstream Tasks -- Style of Vocal Singers in Indian Classical Music: Timbre Approach -- Style Identification of Vocal Singers in Indian Classical Music Using Meend and Andolan -- Vocalist Identification in Audio Songs Using Convolutional Neural Network -- Swaragram: Shruti-based Chromagram for Indian Classical Music -- An Artificial Intelligence-based Approach Towards Segregation of Folk Songs -- Shruti Detection Using Machine Learning and Sargam Identification for Instrumental Audio -- Addressing the Recitative Problem in Real-time Opera Tracking -- Perception of Similarity and Dissimilarity in Hindustani Classical Music -- Analytical Comparison of Classification Models for Raga Identification in Carnatic Classical Audio -- Multimodal Sentiment Analysis of Rabindra- Sangeet through Machine Learning Techniques.

This book features original papers from 25th International Symposium on Frontiers of Research in Speech and Music (FRSM 2020), jointly organized by National Institute of Technology, Silchar, India, during 8-9 October 2020. The book is organized in five sections, considering both technological advancement and interdisciplinary nature of speech and music processing. The first section contains chapters covering the foundations of both vocal and instrumental music processing. The second section includes chapters related to computational techniques involved in the speech and music domain. A lot of research is being performed within the music information retrieval domain which is potentially interesting for most users of computers and the Internet. Therefore, the third section is dedicated to the chapters related to music information retrieval. The fourth section contains chapters on the brain signal analysis and human cognition or perception of speech and music. The final section consists of chapters on spoken language processing and applications of speech processing.

ISBN: 9789813368811

Standard No.: 10.1007/978-981-33-6881-1doiSubjects--Topical Terms:

678615
Speech processing systems
--Congresses.

LC Class. No.: TK7882.S65 / F76 2020

Dewey Class. No.: 006.454

Advances in speech and music technology = proceedings of FRSM 2020 /
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505 0 $a Musical Signal Processing - A Literature Survey -- Noise Removal from Audio Using CNN and Denoiser -- Sine-Wave Speech as Pre-processing for Downstream Tasks -- Style of Vocal Singers in Indian Classical Music: Timbre Approach -- Style Identification of Vocal Singers in Indian Classical Music Using Meend and Andolan -- Vocalist Identification in Audio Songs Using Convolutional Neural Network -- Swaragram: Shruti-based Chromagram for Indian Classical Music -- An Artificial Intelligence-based Approach Towards Segregation of Folk Songs -- Shruti Detection Using Machine Learning and Sargam Identification for Instrumental Audio -- Addressing the Recitative Problem in Real-time Opera Tracking -- Perception of Similarity and Dissimilarity in Hindustani Classical Music -- Analytical Comparison of Classification Models for Raga Identification in Carnatic Classical Audio -- Multimodal Sentiment Analysis of Rabindra- Sangeet through Machine Learning Techniques.
520 $a This book features original papers from 25th International Symposium on Frontiers of Research in Speech and Music (FRSM 2020), jointly organized by National Institute of Technology, Silchar, India, during 8-9 October 2020. The book is organized in five sections, considering both technological advancement and interdisciplinary nature of speech and music processing. The first section contains chapters covering the foundations of both vocal and instrumental music processing. The second section includes chapters related to computational techniques involved in the speech and music domain. A lot of research is being performed within the music information retrieval domain which is potentially interesting for most users of computers and the Internet. Therefore, the third section is dedicated to the chapters related to music information retrieval. The fourth section contains chapters on the brain signal analysis and human cognition or perception of speech and music. The final section consists of chapters on spoken language processing and applications of speech processing.
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650 2 4 $a Mathematics in Music. $3 1619562
650 2 4 $a Philosophy of Music. $3 3270549
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