Advances in Speech and Music Technology, 1st ed. 2021 Proceedings of FRSM 2020 Advances in Intelligent Systems and Computing Series, Vol. 1320

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. 

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.

Dr. Anupam Biswas received his Ph.D. degree in computer science and engineering from Indian Institute of Technology (BHU), Varanasi, India, in 2017. He has received his M.Tech. and B.E. degrees in computer science and engineering from Nehru National Institute of Technology Allahabad, Prayagraj, India, in 2013, and Jorhat Engineering College, Jorhat, Assam, in 2011, respectively. He is currently working as Assistant Professor in the Department of Computer Science & Engineering, National Institute of Technology Silchar, Assam. He has published several research papers in reputed international journals, conference, and book chapters. His research interests include computational music, machine learning, fuzzy systems, information retrieval, and evolutionary computation. He has served as Program Chair of International Conference on Big Data, Machine Learning and Applications (BigDML 2019). He has served as General Chair of 25th International Symposium Frontiers of Research in Speech and Music (FRSM 2020).

Prof. Dr. Emile Wennekes is Chair Professor of Musicology at Utrecht University, The Netherlands. He was appointed full professor there in 2000. From 2006 to 2011, he was the first Head of the School of the Media and Culture Studies department. In 2017, his chair was modified from Musicology: Post-1800 Music History into Musicology: Music and Media, now also officially embracing his main field of research. Wennekes has written on a broad range of subjects, including a co-authored book on contemporary Dutch music available in six languages. His work has been published by, among others, Oxford University Press, Routledge, Michigan University Press, and Brepols. Most recently, he edited the volume Cinema Changes: Incorporation of Jazz in the Film Soundtrack (Brepols 2019) together with Dr. Emilio Audissino. Wennekes founded and chairs the Study Group Music and Media (MaM) under the auspices of the International Musicolog

Presents recent research in the field of speech and music processing

Discusses the outcomes of FRSM 2020, held in NIT, Silchar, India

Serves as a reference guide for researchers and practitioners in academia and industry