Download or read book Signal Analysis of Hindustani Classical Music written by Asoke Kumar Datta and published by Springer. This book was released on 2017-03-10 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a comprehensive overview of the basics of Hindustani music and the associated signal analysis and technological developments. It begins with an in-depth introduction to musical signal analysis and its current applications, and then moves on to a detailed discussion of the features involved in understanding the musical meaning of the signal in the context of Hindustani music. The components consist of tones, shruti, scales, pitch duration and stability, raga, gharana and musical instruments. The book covers the various technological developments in this field, supplemented with a number of case studies and their analysis. The book offers new music researchers essential insights into the use the automatic concept for finding and testing the musical features for their applications. Intended primarily for postgraduate and PhD students working in the area of scientific research on Hindustani music, as well as other genres where the concepts are applicable, it is also a valuable resource for professionals and researchers in musical signal processing.
Download or read book Musical information retrieval Signal Analysis and Feature Extraction using Python written by M. Sai Chaitanya and published by GRIN Verlag. This book was released on 2021-08-02 with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research Paper (postgraduate) from the year 2021 in the subject Musicology - Miscellaneous, grade: 8.0, , course: IMSc Mathematics and Computing, language: English, abstract: This work gives a comprehensive overview of research on the multidisciplinary field of Music Information Retrieval (MIR). MIR uses knowledge from areas as diverse as signal processing, machine learning, information and music theory. The Main Feature of this work is to explore how this knowledge can be used for the development of novel methodologies for browsing and retrieval on large music collections, a hot topic given recent advances in online music distribution and searching. Emphasis would be given to audio signal processing techniques. Music information retrieval (MIR) is the interdisciplinary science of retrieving information from music. MIR is a small but growing field of research with many realworld applications. Those involved in MIR may have a background in musicology, sychoacoustics, psychology, academic music study, signal processing, informatics, machine learning, optical music recognition, computational intelligence or some combination of these. MIR is being used by businesses and academics to categorize, manipulate and even create music. One of the classical MIR research topics is genre classification, which is categorizing music items into one of pre-defined genres such as classical, jazz, rock, etc. Mood classification, artist classification, and music tagging are also popular topics.
Download or read book Hindustani Classical Music written by Soubhik Chakraborty and published by Sanctum Books. This book was released on 2021-12-01 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work aims to address the historical development of the great Indian raga tradition, enhanced by computational approaches, and to use computational strategies to analyze aspects of contemporary Hindustani classical music (HCM). It is divided into two parts with Part 1 focusing on the history and aesthetics of HCM and Part 2 covering its computational aspects. The historical development of HCM in the ancient, medieval and modern periods; its terms and genre; and its Khayal gharanas are covered in Part 1. The subtopics include essential concepts such as raga, tala, shruti, thaat, gharana, khayal, dhrupad, thumri, tappa, etc. Part 2 covers the state-of-the-art in computational musicology, raga analysis and song analysis using statistics. The subtopics include statistical modeling, inter onset interval, note duration analysis, pitch movement between the notes, rate of change of pitch (pitch velocity) and probabilistic analysis of musical notes. The author concludes the work with reflecting on the lives of a few renowned musicians and musicologists with an account of hilarious moments taken from their lives to excite the reader to know more about HCM. This book would be useful for musicians, musicologists, researchers in music history, aesthetics, computational musicology, and advanced undergraduate and postgraduate students of music and musicology.
Download or read book Advances in Signal Processing and Intelligent Recognition Systems written by Sabu M. Thampi and published by Springer. This book was released on 2017-09-12 with total page 471 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Edited Volume gathers a selection of refereed and revised papers originally presented at the Third International Symposium on Signal Processing and Intelligent Recognition Systems (SIRS’17), held on September 13–16, 2017 in Manipal, India. The papers offer stimulating insights into biometrics, digital watermarking, recognition systems, image and video processing, signal and speech processing, pattern recognition, machine learning and knowledge-based systems. Taken together, they offer a valuable resource for all researchers and scientists engaged in the various fields of signal processing and related areas.
Download or read book Advances in Speech and Music Technology written by Anupam Biswas and published by Springer Nature. This book was released on 2021-05-31 with total page 463 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Soft Computing and Signal Processing written by Jiacun Wang and published by Springer. This book was released on 2019-01-16 with total page 823 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents selected research papers on current developments in the field of soft computing and signal processing from the International Conference on Soft Computing and Signal Processing (ICSCSP 2018). It includes papers on current topics such as soft sets, rough sets, fuzzy logic, neural networks, genetic algorithms and machine learning, discussing various aspects of these topics, like technological, product implementation, contemporary research as well as application issues.
Download or read book Intelligent Systems for Smart Cities written by Anand J. Kulkarni and published by Springer Nature. This book was released on 2024-01-02 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the select proceedings of the 2nd International Conference on Intelligent Systems and Applications 2023. The theme of this conference is ‘Intelligent Systems for Smart Cities'. It covers the topics of intelligent systems in multiple aspects such as healthcare, supply chain and logistics, smart homes and smart structures, banking and finance, a sustainable environment, social media and cyber security, crime prevention, and disaster management. The book will be useful for researchers and professionals interested in the broad field of artificial intelligence and machine learning.
Download or read book Proceedings of 27th International Symposium on Frontiers of Research in Speech and Music written by Keikichi Hirose and published by Springer Nature. This book was released on with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Signal Processing Methods for Music Transcription written by Anssi Klapuri and published by Springer Science & Business Media. This book was released on 2007-02-26 with total page 443 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book serves as an ideal starting point for newcomers and an excellent reference source for people already working in the field. Researchers and graduate students in signal processing, computer science, acoustics and music will primarily benefit from this text. It could be used as a textbook for advanced courses in music signal processing. Since it only requires a basic knowledge of signal processing, it is accessible to undergraduate students.
Download or read book Congress on Intelligent Systems written by Mukesh Saraswat and published by Springer Nature. This book was released on 2022-07-01 with total page 933 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of selected papers presented at the Second Congress on Intelligent Systems (CIS 2021), organized by Soft Computing Research Society and CHRIST (Deemed to be University), Bengaluru, India, during September 4 – 5, 2021. It includes novel and innovative work from experts, practitioners, scientists, and decision-makers from academia and industry. It covers topics such as Internet of things, information security, embedded systems, real-time systems, cloud computing, big data analysis, quantum computing, automation systems, bio-inspired intelligence, cognitive systems, cyber physical systems, data analytics, data/web mining, data science, intelligence for security, intelligent decision making systems, intelligent information processing, intelligent transportation, artificial intelligence for machine vision, imaging sensors technology, image segmentation, convolutional neural network, image/video classification, soft computing for machine vision, pattern recognition, human–computer interaction, robotic devices and systems, autonomous vehicles, intelligent control systems, human motor control, game playing, evolutionary algorithms, swarm optimization, neural network, deep learning, supervised learning, unsupervised learning, fuzzy logic, rough sets, computational optimization, and neuro-fuzzy systems.
Download or read book Machine Learning Applications written by Rik Das and published by Walter de Gruyter GmbH & Co KG. This book was released on 2020-04-20 with total page 153 pages. Available in PDF, EPUB and Kindle. Book excerpt: The publication is attempted to address emerging trends in machine learning applications. Recent trends in information identification have identified huge scope in applying machine learning techniques for gaining meaningful insights. Random growth of unstructured data poses new research challenges to handle this huge source of information. Efficient designing of machine learning techniques is the need of the hour. Recent literature in machine learning has emphasized on single technique of information identification. Huge scope exists in developing hybrid machine learning models with reduced computational complexity for enhanced accuracy of information identification. This book will focus on techniques to reduce feature dimension for designing light weight techniques for real time identification and decision fusion. Key Findings of the book will be the use of machine learning in daily lives and the applications of it to improve livelihood. However, it will not be able to cover the entire domain in machine learning in its limited scope. This book is going to benefit the research scholars, entrepreneurs and interdisciplinary approaches to find new ways of applications in machine learning and thus will have novel research contributions. The lightweight techniques can be well used in real time which will add value to practice.
Download or read book Pervasive Computing and Social Networking written by G. Ranganathan and published by Springer Nature. This book was released on 2022-01-01 with total page 768 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book features original papers from International Conference on Pervasive Computing and Social Networking (ICPCSN 2021), organized by NSIT, Salem, India during 19 – 20 march 2021. It covers research works on conceptual, constructive, empirical, theoretical and practical implementations of pervasive computing and social networking methods for developing more novel ideas and innovations in the growing field of information and communication technologies.
Download or read book Computer Assisted Music and Dramatics written by Ambuja Salgaonkar and published by Springer Nature. This book was released on 2023-06-24 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is intended for researchers interested in using computational methods and tools to engage with music, dance and theatre. The chapters have evolved out of presentations and deliberations at an international workshop entitled Computer Assisted Music and Dramatics: Possibilities and Challenges organized by University of Mumbai in honour of Professor Hari Sahasrabuddhe, a renowned educator and a pioneering computational musicologist (CM) of Indian classical music. The workshop included contributions from CM as well as musicians with a special focus on South Asian arts. The case studies and reflective essays here are based on analyses of genres, practices and theoretical constructs modelled computationally. They offer a balanced and complementary perspective to help innovation in the synthesis of music by extracting information from recorded performances. This material would be of interest to scholars of the sciences and humanities and facilitate exchanges and generation of ideas.
Download or read book Indian Art Music A Computational Perspective written by Preeti Rao and published by Sriranga Digital Software Technologies Pvt. Ltd.. This book was released on 2023-02-05 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph presents a diverse collection of articles on Indian Art Music based on analytical work aided by computational tools. The book focuses mainly on the current practices in music and its representation in audio recordings, a perspective that is particularly relevant to oral traditions. It presents a rare and unique example of collaboration between musicians, musicologists, scientists, and engineers. The presentation brings together various aspects of research on Indian art music that benefits from audio processing or computing, ranging from musicology to information retrieval to instrument modeling. It is hoped that the monograph will serve as an accessible introduction to computational approaches for Indian art music in particular, and ethnomusicology more generally.
Download or read book Acoustical Analysis of the Tanpura written by Asoke Kumar Datta and published by Springer. This book was released on 2018-10-01 with total page 165 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses the acoustic signal analysis and spectral dynamics of the tanpura, an Indian plucked string instrument. In addition, it strives to provide a logical and objective explanation of Indian classical musicians’ cognitive experience. Issues of relevance in this regard include the rich, mellifluous sound; the undulation of the loudness; the somewhat cyclical variation of the timbre, which is strongly related to these undulations; and the occasional perception of virtual notes to which no strings are tuned. The book analyses the materials used in the tanpura, the instrument’s simple structure, the intricacies of the lower bridge, and the theory of string vibration with variable string length. Cognitive experiments to provide the basis for perceptual quality assessment, as well as a methodology for ranking, are described. This is followed by acoustic analyses, both temporal and spectral, for sounds produced by male and female tanpuras, for each individual string and the combined one. An important aspect related to the naturalness of perceived sound, namely the intrinsically associated random perturbations, is also discussed. The apparent irregularities perceived in the acoustic signal produced by the tanpura reveal the importance of examining the signal from the perspective of non-linear analysis, an aspect that is also covered in the book. Given its scope, the book will appeal to students and researchers in the fields of music acoustics, artificial intelligence, and cognitive science, as well as musicians and musicologists around the world.
Download or read book Objective Classification of Hindustani Ragas written by Poonam Priyadarshini and published by GRIN Verlag. This book was released on 2019-05-27 with total page 145 pages. Available in PDF, EPUB and Kindle. Book excerpt: Doctoral Thesis / Dissertation from the year 2019 in the subject Musicology, grade: NA, , language: English, abstract: The aim of the research work presented in this book, is to find important features of the music signal so that we can classify the raga into different category. It will encourage the scientific research in Indian Classical music, specifically Hindustani music. The main objectives of the study include: • Extraction of features of a music signal which are relevant for classification of the music signal using different techniques. • To determine whether the artists singing the raga during a concert belongs to same gharana or different gharanas by finding the MFCC (Mel frequency cepstral co-efficients ) features of a music signal. Andrew plot is used to study the results. • Comparison between two types of ragas, one being aesthetically known to be restful raga and the other restless in nature is done by finding statistical features. Distinction between the two types of raga is done by finding the mean, standard deviation and Inter onset interval. The Transitory and non-transitory frequency movements between the notes of both ragas is determined. • Statistical Modeling of ragas is done to distinguish between Restful ragas and Restless Ragas. Simple Exponential smoothing techniques is used for Modeling the Restless Ragas Pilu and Bhairavi and Double exponential Smoothing techniques is used for Modeling the Restful Raga Todi . • The work is focused on music emotion representation. The characteristics features of music signal such as rhythm, melody, pitch and timbre are studied. Among these which parameter(s) play a major role in creating happy or sad emotion in the song or music samples are studied.
Download or read book The Influence of Hindustani Classical Music on Bollywood Songs A Statistical Outlook written by Amrita Singh and published by GRIN Verlag. This book was released on 2019-07-19 with total page 62 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master's Thesis from the year 2019 in the subject Musicology - Miscellaneous, grade: 8.5, , language: English, abstract: The present work attempts to study the impact of Hindustani Classical Music on Bollywood in a legitimate manner using a statistical approach emphasizing on statistical modeling of musical structure and performance and other statistical features such as note duration and inter onset interval with a case study in raga Yaman. Any music originates in the society and develops with the changing realities of it. It accepts new and modifies the existing cultural norms in different periods of time. This process of acceptance and rejection makes any form of art exist for long. Inspite of all this, in various phases, Hindustani classical music, being the base of many popular Bollywood songs has helped in their popularity and lifelong existence because of the strong focus on melody. A raga, which is the nucleus of Indian classical music, be it Hindustani or Carnatic, is a melodic structure with fixed notes and a set of rules which characterize a certain mood conveyed by erformance. Hindustani ragas have embraced the elements of several Bollywood songs, which has given these songs a strong impact despite the strong influence of western art music in Bollywood music industry. The present work attempts to study this impact in a legitimate manner using a statistical approach emphasizing on statistical modeling of musical structure and performance and other statistical features such as note duration and inter onset interval with a case study in raga Yaman. It turns out that the same statistical model for both the raga bandishand a song based on the same raga, i.e., Yaman, an evening raga of the Kalyan thaat.
