Musical Information Retrieval Signal Analysis And Feature Extraction Using Python

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Musical information retrieval. Signal Analysis and Feature Extraction using Python

Author : M. Sai Chaitanya
Publisher : GRIN Verlag
ISBN 13 : 3346455246
Total Pages : 40 pages
Book Rating : 4.3/5 (464 download)

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Book Synopsis Musical information retrieval. Signal Analysis and Feature Extraction using Python by : M. Sai Chaitanya

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.

Music Information Retrieval

Author : Markus Schedl
Publisher :
ISBN 13 : 9781601988065
Total Pages : 154 pages
Book Rating : 4.9/5 (88 download)

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Book Synopsis Music Information Retrieval by : Markus Schedl

Download or read book Music Information Retrieval written by Markus Schedl and published by . This book was released on 2014 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt: Music Information Retrieval: Recent Developments and Applications surveys the young but established field of research that is Music Information Retrieval (MIR). In doing so, it pays particular attention to the latest developments in MIR, such as semantic auto-tagging and user-centric retrieval and recommendation approaches. Music Information Retrieval: Recent Developments and Applications starts by reviewing the well-established and proven methods for feature extraction and music indexing, from both the audio signal and contextual data sources about music items, such as web pages or collaborative tags. These in turn enable a wide variety of music retrieval tasks, such as semantic music search or music identification ("query by example"). Subsequently, it elaborates on the current work on user analysis and modeling in the context of music recommendation and retrieval, addressing the recent trend towards user-centric and adaptive approaches and systems. A discussion follows about the important aspect of how various MIR approaches to different problems are evaluated and compared. It concludes with a discussion about the major open challenges facing MIR.

Music Data Mining

Author : Tao Li
Publisher : CRC Press
ISBN 13 : 1439835527
Total Pages : 386 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Music Data Mining by : Tao Li

Download or read book Music Data Mining written by Tao Li and published by CRC Press. This book was released on 2011-07-12 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: The research area of music information retrieval has gradually evolved to address the challenges of effectively accessing and interacting large collections of music and associated data, such as styles, artists, lyrics, and reviews. Bringing together an interdisciplinary array of top researchers, Music Data Mining presents a variety of approaches to successfully employ data mining techniques for the purpose of music processing. The book first covers music data mining tasks and algorithms and audio feature extraction, providing a framework for subsequent chapters. With a focus on data classification, it then describes a computational approach inspired by human auditory perception and examines instrument recognition, the effects of music on moods and emotions, and the connections between power laws and music aesthetics. Given the importance of social aspects in understanding music, the text addresses the use of the Web and peer-to-peer networks for both music data mining and evaluating music mining tasks and algorithms. It also discusses indexing with tags and explains how data can be collected using online human computation games. The final chapters offer a balanced exploration of hit song science as well as a look at symbolic musicology and data mining. The multifaceted nature of music information often requires algorithms and systems using sophisticated signal processing and machine learning techniques to better extract useful information. An excellent introduction to the field, this volume presents state-of-the-art techniques in music data mining and information retrieval to create novel ways of interacting with large music collections.

Music Similarity and Retrieval

Author : Peter Knees
Publisher : Springer
ISBN 13 : 3662497220
Total Pages : 313 pages
Book Rating : 4.6/5 (624 download)

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Book Synopsis Music Similarity and Retrieval by : Peter Knees

Download or read book Music Similarity and Retrieval written by Peter Knees and published by Springer. This book was released on 2016-05-28 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a summary of the manifold audio- and web-based approaches to music information retrieval (MIR) research. In contrast to other books dealing solely with music signal processing, it addresses additional cultural and listener-centric aspects and thus provides a more holistic view. Consequently, the text includes methods operating on features extracted directly from the audio signal, as well as methods operating on features extracted from contextual information, either the cultural context of music as represented on the web or the user and usage context of music. Following the prevalent document-centered paradigm of information retrieval, the book addresses models of music similarity that extract computational features to describe an entity that represents music on any level (e.g., song, album, or artist), and methods to calculate the similarity between them. While this perspective and the representations discussed cannot describe all musical dimensions, they enable us to effectively find music of similar qualities by providing abstract summarizations of musical artifacts from different modalities. The text at hand provides a comprehensive and accessible introduction to the topics of music search, retrieval, and recommendation from an academic perspective. It will not only allow those new to the field to quickly access MIR from an information retrieval point of view but also raise awareness for the developments of the music domain within the greater IR community. In this regard, Part I deals with content-based MIR, in particular the extraction of features from the music signal and similarity calculation for content-based retrieval. Part II subsequently addresses MIR methods that make use of the digitally accessible cultural context of music. Part III addresses methods of collaborative filtering and user-aware and multi-modal retrieval, while Part IV explores current and future applications of music retrieval and recommendation.>

Feature Extraction for Music Information Retrieval

Author : Jesper Højvang Jensen
Publisher :
ISBN 13 : 9788792328243
Total Pages : 152 pages
Book Rating : 4.3/5 (282 download)

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Book Synopsis Feature Extraction for Music Information Retrieval by : Jesper Højvang Jensen

Download or read book Feature Extraction for Music Information Retrieval written by Jesper Højvang Jensen and published by . This book was released on 2010 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Music Data Analysis

Author : Claus Weihs
Publisher : CRC Press
ISBN 13 : 1498719570
Total Pages : 694 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Music Data Analysis by : Claus Weihs

Download or read book Music Data Analysis written by Claus Weihs and published by CRC Press. This book was released on 2016-11-17 with total page 694 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive overview of music data analysis, from introductory material to advanced concepts. It covers various applications including transcription and segmentation as well as chord and harmony, instrument and tempo recognition. It also discusses the implementation aspects of music data analysis such as architecture, user interface and hardware. It is ideal for use in university classes with an interest in music data analysis. It also could be used in computer science and statistics as well as musicology.

An Introduction to Audio Content Analysis

Author : Alexander Lerch
Publisher : John Wiley & Sons
ISBN 13 : 1119890977
Total Pages : 467 pages
Book Rating : 4.1/5 (198 download)

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Book Synopsis An Introduction to Audio Content Analysis by : Alexander Lerch

Download or read book An Introduction to Audio Content Analysis written by Alexander Lerch and published by John Wiley & Sons. This book was released on 2022-11-22 with total page 467 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Introduction to Audio Content Analysis Enables readers to understand the algorithmic analysis of musical audio signals with AI-driven approaches An Introduction to Audio Content Analysis serves as a comprehensive guide on audio content analysis explaining how signal processing and machine learning approaches can be utilized for the extraction of musical content from audio. It gives readers the algorithmic understanding to teach a computer to interpret music signals and thus allows for the design of tools for interacting with music. The work ties together topics from audio signal processing and machine learning, showing how to use audio content analysis to pick up musical characteristics automatically. A multitude of audio content analysis tasks related to the extraction of tonal, temporal, timbral, and intensity-related characteristics of the music signal are presented. Each task is introduced from both a musical and a technical perspective, detailing the algorithmic approach as well as providing practical guidance on implementation details and evaluation. To aid in reader comprehension, each task description begins with a short introduction to the most important musical and perceptual characteristics of the covered topic, followed by a detailed algorithmic model and its evaluation, and concluded with questions and exercises. For the interested reader, updated supplemental materials are provided via an accompanying website. Written by a well-known expert in the music industry, sample topics covered in Introduction to Audio Content Analysis include: Digital audio signals and their representation, common time-frequency transforms, audio features Pitch and fundamental frequency detection, key and chord Representation of dynamics in music and intensity-related features Beat histograms, onset and tempo detection, beat histograms, and detection of structure in music, and sequence alignment Audio fingerprinting, musical genre, mood, and instrument classification An invaluable guide for newcomers to audio signal processing and industry experts alike, An Introduction to Audio Content Analysis covers a wide range of introductory topics pertaining to music information retrieval and machine listening, allowing students and researchers to quickly gain core holistic knowledge in audio analysis and dig deeper into specific aspects of the field with the help of a large amount of references.

Fundamentals of Music Processing

Author : Meinard Müller
Publisher : Springer Nature
ISBN 13 : 3030698084
Total Pages : 495 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Fundamentals of Music Processing by : Meinard Müller

Download or read book Fundamentals of Music Processing written by Meinard Müller and published by Springer Nature. This book was released on 2021-04-09 with total page 495 pages. Available in PDF, EPUB and Kindle. Book excerpt: The textbook provides both profound technological knowledge and a comprehensive treatment of essential topics in music processing and music information retrieval (MIR). Including numerous examples, figures, and exercises, this book is suited for students, lecturers, and researchers working in audio engineering, signal processing, computer science, digital humanities, and musicology. The book consists of eight chapters. The first two cover foundations of music representations and the Fourier transform—concepts used throughout the book. Each of the subsequent chapters starts with a general description of a concrete music processing task and then discusses—in a mathematically rigorous way—essential techniques and algorithms applicable to a wide range of analysis, classification, and retrieval problems. By mixing theory and practice, the book’s goal is to offer detailed technological insights and a deep understanding of music processing applications. As a substantial extension, the textbook’s second edition introduces the FMP (fundamentals of music processing) notebooks, which provide additional audio-visual material and Python code examples that implement all computational approaches step by step. Using Jupyter notebooks and open-source web applications, the FMP notebooks yield an interactive framework that allows students to experiment with their music examples, explore the effect of parameter settings, and understand the computed results by suitable visualizations and sonifications. The FMP notebooks are available from the author’s institutional web page at the International Audio Laboratories Erlangen.

Software-Based Extraction of Objective Parameters from Music Performances

Author : Alexander Lerch
Publisher : GRIN Verlag
ISBN 13 : 3640294963
Total Pages : 201 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Software-Based Extraction of Objective Parameters from Music Performances by : Alexander Lerch

Download or read book Software-Based Extraction of Objective Parameters from Music Performances written by Alexander Lerch and published by GRIN Verlag. This book was released on 2009-04 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: Doctoral Thesis / Dissertation from the year 2008 in the subject Musicology, grade: 1.0, Technical University of Berlin, 259 entries in the bibliography, language: English, abstract: Different music performances of the same score may significantly differ from each other. It is obvious that not only the composer's work, the score, defines the listener's music experience, but that the music performance itself is an integral part of this experience. Music performers use the information contained in the score, but interpret, transform or add to this information. Four parameter classes can be used to describe a performance objectively: tempo and timing, loudness, timbre and pitch. Each class contains a multitude of individual parameters that are at the performers' disposal to generate a unique physical rendition of musical ideas. The extraction of such objective parameters is one of the difficulties in music performance research. This work presents an approach to the software-based extraction of tempo and timing, loudness and timbre parameters from audio files to provide a tool for the automatic parameter extraction from music performances. The system is applied to extract data from 21 string quartet performances and a detailed analysis of the extracted data is presented. The main contributions of this thesis are the adaptation and development of signal processing approaches to performance parameter extraction and the presentation and discussion of string quartet performances of a movement of Beethoven's late String Quartet op. 130.

Digital Signal Processing in Audio and Acoustical Engineering

Author : Francis F. Li
Publisher : CRC Press
ISBN 13 : 1351644157
Total Pages : 282 pages
Book Rating : 4.3/5 (516 download)

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Book Synopsis Digital Signal Processing in Audio and Acoustical Engineering by : Francis F. Li

Download or read book Digital Signal Processing in Audio and Acoustical Engineering written by Francis F. Li and published by CRC Press. This book was released on 2019-04-02 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: Starting with essential maths, fundamentals of signals and systems, and classical concepts of DSP, this book presents, from an application-oriented perspective, modern concepts and methods of DSP including machine learning for audio acoustics and engineering. Content highlights include but are not limited to room acoustic parameter measurements, filter design, codecs, machine learning for audio pattern recognition and machine audition, spatial audio, array technologies and hearing aids. Some research outcomes are fed into book as worked examples. As a research informed text, the book attempts to present DSP and machine learning from a new and more relevant angle to acousticians and audio engineers. Some MATLAB® codes or frameworks of algorithms are given as downloads available on the CRC Press website. Suggested exploration and mini project ideas are given for "proof of concept" type of exercises and directions for further study and investigation. The book is intended for researchers, professionals, and senior year students in the field of audio acoustics.

Fundamentals of Music Processing

Author : Meinard Müller
Publisher : Springer
ISBN 13 : 3319219456
Total Pages : 509 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Fundamentals of Music Processing by : Meinard Müller

Download or read book Fundamentals of Music Processing written by Meinard Müller and published by Springer. This book was released on 2015-07-21 with total page 509 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook provides both profound technological knowledge and a comprehensive treatment of essential topics in music processing and music information retrieval. Including numerous examples, figures, and exercises, this book is suited for students, lecturers, and researchers working in audio engineering, computer science, multimedia, and musicology. The book consists of eight chapters. The first two cover foundations of music representations and the Fourier transform—concepts that are then used throughout the book. In the subsequent chapters, concrete music processing tasks serve as a starting point. Each of these chapters is organized in a similar fashion and starts with a general description of the music processing scenario at hand before integrating it into a wider context. It then discusses—in a mathematically rigorous way—important techniques and algorithms that are generally applicable to a wide range of analysis, classification, and retrieval problems. At the same time, the techniques are directly applied to a specific music processing task. By mixing theory and practice, the book’s goal is to offer detailed technological insights as well as a deep understanding of music processing applications. Each chapter ends with a section that includes links to the research literature, suggestions for further reading, a list of references, and exercises. The chapters are organized in a modular fashion, thus offering lecturers and readers many ways to choose, rearrange or supplement the material. Accordingly, selected chapters or individual sections can easily be integrated into courses on general multimedia, information science, signal processing, music informatics, or the digital humanities.

Real-time Speech and Music Classification by Large Audio Feature Space Extraction

Author : Florian Eyben
Publisher : Springer
ISBN 13 : 3319272993
Total Pages : 328 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Real-time Speech and Music Classification by Large Audio Feature Space Extraction by : Florian Eyben

Download or read book Real-time Speech and Music Classification by Large Audio Feature Space Extraction written by Florian Eyben and published by Springer. This book was released on 2015-12-24 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reports on an outstanding thesis that has significantly advanced the state-of-the-art in the automated analysis and classification of speech and music. It defines several standard acoustic parameter sets and describes their implementation in a novel, open-source, audio analysis framework called openSMILE, which has been accepted and intensively used worldwide. The book offers extensive descriptions of key methods for the automatic classification of speech and music signals in real-life conditions and reports on the evaluation of the framework developed and the acoustic parameter sets that were selected. It is not only intended as a manual for openSMILE users, but also and primarily as a guide and source of inspiration for students and scientists involved in the design of speech and music analysis methods that can robustly handle real-life conditions.

Computational Analysis of Sound Scenes and Events

Author : Tuomas Virtanen
Publisher : Springer
ISBN 13 : 331963450X
Total Pages : 417 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Computational Analysis of Sound Scenes and Events by : Tuomas Virtanen

Download or read book Computational Analysis of Sound Scenes and Events written by Tuomas Virtanen and published by Springer. This book was released on 2017-09-21 with total page 417 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents computational methods for extracting the useful information from audio signals, collecting the state of the art in the field of sound event and scene analysis. The authors cover the entire procedure for developing such methods, ranging from data acquisition and labeling, through the design of taxonomies used in the systems, to signal processing methods for feature extraction and machine learning methods for sound recognition. The book also covers advanced techniques for dealing with environmental variation and multiple overlapping sound sources, and taking advantage of multiple microphones or other modalities. The book gives examples of usage scenarios in large media databases, acoustic monitoring, bioacoustics, and context-aware devices. Graphical illustrations of sound signals and their spectrographic representations are presented, as well as block diagrams and pseudocode of algorithms.

Variable Resolution Transform-based Music Feature Extraction and Their Applications for Music Information Retrieval

Author : Aliaksandr V. Paradzinets
Publisher :
ISBN 13 :
Total Pages : 138 pages
Book Rating : 4.:/5 (494 download)

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Book Synopsis Variable Resolution Transform-based Music Feature Extraction and Their Applications for Music Information Retrieval by : Aliaksandr V. Paradzinets

Download or read book Variable Resolution Transform-based Music Feature Extraction and Their Applications for Music Information Retrieval written by Aliaksandr V. Paradzinets and published by . This book was released on 2007 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: As a major product for entertainment, there is a huge amount of digital musical content produced, broadcasted, distributed and exchanged. There is a rising demand for content-based music search services. Similarity-based music navigation is becoming crucial for enabling easy access to the evergrowing amount of digital music available to professionals and amateurs alike. This work presents new musical content descriptors and similarity measures which allow automatic musical content organizing (search by similarity, automatic playlist generating) and labeling (automatic genre classification). The work considers the problem of content descriptor building from the musical point of view in complement of low-level spectral similarity measures. Several aspects of music analysis are considered such as music signal analysis where a novel variable resolution transform is presented and described. Higher level processing touches upon the musical knowledge extraction. The thesis presents algorithms of beat detection and multiple fundamental frequency estimation which are based on the variable resolution transform. The information issued from these algorithms is then used for building musical descriptors, represented in form of histograms (novel 2D beat histogram which enables a direct tempo estimation, note succession and note profile histograms etc.). Two major music information retrieval applications, namely music genre classification and music retrieval by similarity, which use aforementioned musical features are described and evaluated in this thesis.

Music Emotion Recognition

Author : Yi-Hsuan Yang
Publisher : CRC Press
ISBN 13 : 143985047X
Total Pages : 251 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Music Emotion Recognition by : Yi-Hsuan Yang

Download or read book Music Emotion Recognition written by Yi-Hsuan Yang and published by CRC Press. This book was released on 2011-02-22 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: Providing a complete review of existing work in music emotion developed in psychology and engineering, Music Emotion Recognition explains how to account for the subjective nature of emotion perception in the development of automatic music emotion recognition (MER) systems. Among the first publications dedicated to automatic MER, it begins with

Signal Processing Methods for Music Transcription

Author : Anssi Klapuri
Publisher : Springer Science & Business Media
ISBN 13 : 0387328459
Total Pages : 443 pages
Book Rating : 4.3/5 (873 download)

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Book Synopsis Signal Processing Methods for Music Transcription by : Anssi Klapuri

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.

Advances in Speech and Music Technology

Author : Anupam Biswas
Publisher : Springer Nature
ISBN 13 : 9813368810
Total Pages : 463 pages
Book Rating : 4.8/5 (133 download)

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Book Synopsis Advances in Speech and Music Technology by : Anupam Biswas

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.