Musical Information Retrieval Signal Analysis And Feature Extraction Using Python

Musical Information Retrieval Signal Analysis And Feature Extraction Using Python Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Musical Information Retrieval Signal Analysis And Feature Extraction Using Python book. This book definitely worth reading, it is an incredibly well-written.

Musical information retrieval. Signal Analysis and Feature Extraction using Python

M. Sai Chaitanya,Soubhik Chakraborty
Musical information retrieval Signal Analysis and Feature Extraction using Python Book PDF

Author : M. Sai Chaitanya,Soubhik Chakraborty
Publisher : GRIN Verlag
Page : 40 pages
File Size : 52,8 Mb
Release : 2021-08-02
Category : Music
ISBN : 9783346455246

Get Book

Musical information retrieval. Signal Analysis and Feature Extraction using Python by M. Sai Chaitanya,Soubhik Chakraborty Pdf

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

Markus Schedl,Emilia Gómez,Julián Urbano
Music Information Retrieval Book PDF

Author : Markus Schedl,Emilia Gómez,Julián Urbano
Publisher : Unknown
Page : 154 pages
File Size : 52,8 Mb
Release : 2014
Category : Computers
ISBN : 1601988060

Get Book

Music Information Retrieval by Markus Schedl,Emilia Gómez,Julián Urbano Pdf

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 Analysis

Claus Weihs,Dietmar Jannach,Igor Vatolkin,Guenter Rudolph
Music Data Analysis Book PDF

Author : Claus Weihs,Dietmar Jannach,Igor Vatolkin,Guenter Rudolph
Publisher : CRC Press
Page : 694 pages
File Size : 53,6 Mb
Release : 2016-11-17
Category : Business & Economics
ISBN : 9781498719575

Get Book

Music Data Analysis by Claus Weihs,Dietmar Jannach,Igor Vatolkin,Guenter Rudolph Pdf

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.

Digital Signal Processing in Audio and Acoustical Engineering

Francis F. Li,Trevor J. Cox
Digital Signal Processing in Audio and Acoustical Engineering Book PDF

Author : Francis F. Li,Trevor J. Cox
Publisher : CRC Press
Page : 282 pages
File Size : 48,6 Mb
Release : 2019-04-02
Category : Technology & Engineering
ISBN : 9781351644150

Get Book

Digital Signal Processing in Audio and Acoustical Engineering by Francis F. Li,Trevor J. Cox Pdf

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.

Music Similarity and Retrieval

Peter Knees,Markus Schedl
Music Similarity and Retrieval Book PDF

Author : Peter Knees,Markus Schedl
Publisher : Springer
Page : 299 pages
File Size : 51,8 Mb
Release : 2016-05-28
Category : Computers
ISBN : 9783662497227

Get Book

Music Similarity and Retrieval by Peter Knees,Markus Schedl Pdf

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.>

Computational Analysis of Sound Scenes and Events

Tuomas Virtanen,Mark D. Plumbley,Dan Ellis
Computational Analysis of Sound Scenes and Events Book PDF

Author : Tuomas Virtanen,Mark D. Plumbley,Dan Ellis
Publisher : Springer
Page : 422 pages
File Size : 50,7 Mb
Release : 2017-09-21
Category : Technology & Engineering
ISBN : 9783319634500

Get Book

Computational Analysis of Sound Scenes and Events by Tuomas Virtanen,Mark D. Plumbley,Dan Ellis Pdf

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.

Music Data Mining

Tao Li,Mitsunori Ogihara,George Tzanetakis
Music Data Mining Book PDF

Author : Tao Li,Mitsunori Ogihara,George Tzanetakis
Publisher : CRC Press
Page : 386 pages
File Size : 43,9 Mb
Release : 2011-07-12
Category : Business & Economics
ISBN : 9781439835524

Get Book

Music Data Mining by Tao Li,Mitsunori Ogihara,George Tzanetakis Pdf

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.

Applications in Statistical Computing

Nadja Bauer,Katja Ickstadt,Karsten Lübke,Gero Szepannek,Heike Trautmann,Maurizio Vichi
Applications in Statistical Computing Book PDF

Author : Nadja Bauer,Katja Ickstadt,Karsten Lübke,Gero Szepannek,Heike Trautmann,Maurizio Vichi
Publisher : Springer Nature
Page : 336 pages
File Size : 44,5 Mb
Release : 2019-10-12
Category : Computers
ISBN : 9783030251475

Get Book

Applications in Statistical Computing by Nadja Bauer,Katja Ickstadt,Karsten Lübke,Gero Szepannek,Heike Trautmann,Maurizio Vichi Pdf

This volume presents a selection of research papers on various topics at the interface of statistics and computer science. Emphasis is put on the practical applications of statistical methods in various disciplines, using machine learning and other computational methods. The book covers fields of research including the design of experiments, computational statistics, music data analysis, statistical process control, biometrics, industrial engineering, and econometrics. Gathering innovative, high-quality and scientifically relevant contributions, the volume was published in honor of Claus Weihs, Professor of Computational Statistics at TU Dortmund University, on the occasion of his 66th birthday.

Artificial Intelligence in Music, Sound, Art and Design

Juan Romero,Tiago Martins,Nereida Rodríguez-Fernández
Artificial Intelligence in Music Sound Art and Design Book PDF

Author : Juan Romero,Tiago Martins,Nereida Rodríguez-Fernández
Publisher : Springer Nature
Page : 501 pages
File Size : 41,8 Mb
Release : 2021-04-01
Category : Computers
ISBN : 9783030729141

Get Book

Artificial Intelligence in Music, Sound, Art and Design by Juan Romero,Tiago Martins,Nereida Rodríguez-Fernández Pdf

This book constitutes the refereed proceedings of the 10th European Conference on Artificial Intelligence in Music, Sound, Art and Design, EvoMUSART 2021, held as part of Evo* 2021, as Virtual Event, in April 2021, co-located with the Evo* 2021 events, EvoCOP, EvoApplications, and EuroGP. The 24 revised full papers and 7 short papers presented in this book were carefully reviewed and selected from 66 submissions. They cover a wide range of topics and application areas, including generative approaches to music and visual art, deep learning, and architecture.

An Introduction to Audio Content Analysis

Alexander Lerch
An Introduction to Audio Content Analysis Book PDF

Author : Alexander Lerch
Publisher : John Wiley & Sons
Page : 467 pages
File Size : 49,5 Mb
Release : 2022-11-22
Category : Technology & Engineering
ISBN : 9781119890973

Get Book

An Introduction to Audio Content Analysis by Alexander Lerch Pdf

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.

Proceedings of the 6th Conference on Sound and Music Technology (CSMT)

Wei Li,Shengchen Li,Xi Shao,Zijin Li
Proceedings of the 6th Conference on Sound and Music Technology CSMT Book PDF

Author : Wei Li,Shengchen Li,Xi Shao,Zijin Li
Publisher : Springer
Page : 107 pages
File Size : 52,7 Mb
Release : 2019-07-02
Category : Mathematics
ISBN : 9789811387074

Get Book

Proceedings of the 6th Conference on Sound and Music Technology (CSMT) by Wei Li,Shengchen Li,Xi Shao,Zijin Li Pdf

This book discusses the use of advanced techniques to produce and understand music in a digital way. It gathers the first-ever English-language proceedings of the Conference on Sound and Music Technology (CSMT), which was held in Xiamen, China in 2018. As a leading event, the CSMT reflects the latest advances in acoustic and music technologies in China. Sound and technology are more closely linked than most people assume. For example, signal-processing methods form the basis of music feature extraction, while mathematics provides an objective means of representing current musicological theories and discovering new ones. Moreover, machine-learning methods include popular deep learning algorithms and are used in a broad range of contexts, from discovering patterns in music features to producing music. As these proceedings demonstrate, modern technologies not only offer new ways to create music, but can also help people perceive sound in innovative new ways.

Advances in Speech and Music Technology

Anupam Biswas,Emile Wennekes,Alicja Wieczorkowska,Rabul Hussain Laskar
Advances in Speech and Music Technology Book PDF

Author : Anupam Biswas,Emile Wennekes,Alicja Wieczorkowska,Rabul Hussain Laskar
Publisher : Springer Nature
Page : 446 pages
File Size : 43,8 Mb
Release : 2023-01-01
Category : Technology & Engineering
ISBN : 9783031184444

Get Book

Advances in Speech and Music Technology by Anupam Biswas,Emile Wennekes,Alicja Wieczorkowska,Rabul Hussain Laskar Pdf

This book presents advances in speech and music in the domain of audio signal processing. The book begins with introductory chapters on the basics of speech and music, and then proceeds to computational aspects of speech and music, including music information retrieval and spoken language processing. The authors discuss the intersection in the field of computer science, musicology and speech analysis, and how the multifaceted nature of speech and music information processing requires unique algorithms, systems using sophisticated signal processing, and machine learning techniques that better extract useful information. The authors discuss how a deep understanding of both speech and music in terms of perception, emotion, mood, gesture and cognition is essential for successful application. Also discussed is the overwhelming amount of data that has been generated across the world that requires efficient processing for better maintenance, retrieval, indexing and querying and how machine learning and artificial intelligence are most suited for these computational tasks. The book provides both technological knowledge and a comprehensive treatment of essential topics in speech and music processing.

Fundamentals of Music Processing

Meinard Müller
Fundamentals of Music Processing Book PDF

Author : Meinard Müller
Publisher : Springer
Page : 487 pages
File Size : 44,5 Mb
Release : 2015-07-21
Category : Computers
ISBN : 9783319219455

Get Book

Fundamentals of Music Processing by Meinard Müller Pdf

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

Florian Eyben
Real time Speech and Music Classification by Large Audio Feature Space Extraction Book PDF

Author : Florian Eyben
Publisher : Springer
Page : 298 pages
File Size : 47,7 Mb
Release : 2015-12-24
Category : Technology & Engineering
ISBN : 9783319272993

Get Book

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

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.

Generative Adversarial Networks in Practice

Mehdi Ghayoumi
Generative Adversarial Networks in Practice Book PDF

Author : Mehdi Ghayoumi
Publisher : CRC Press
Page : 665 pages
File Size : 45,6 Mb
Release : 2023-12-20
Category : Computers
ISBN : 9781003805533

Get Book

Generative Adversarial Networks in Practice by Mehdi Ghayoumi Pdf

This book is an all-inclusive resource that provides a solid foundation on Generative Adversarial Networks (GAN) methodologies, their application to real-world projects, and their underlying mathematical and theoretical concepts. Key Features: • Guides you through the complex world of GANs, demystifying their intricacies • Accompanies your learning journey with real-world examples and practical applications • Navigates the theory behind GANs, presenting it in an accessible and comprehensive way • Simplifies the implementation of GANs using popular deep learning platforms • Introduces various GAN architectures, giving readers a broad view of their applications • Nurture your knowledge of AI with our comprehensive yet accessible content • Practice your skills with numerous case studies and coding examples • Reviews advanced GANs, such as DCGAN, cGAN, and CycleGAN, with clear explanations and practical examples • Adapts to both beginners and experienced practitioners, with content organized to cater to varying levels of familiarity with GANs • Connects the dots between GAN theory and practice, providing a well-rounded understanding of the subject • Takes you through GAN applications across different data types, highlighting their versatility • Inspires the reader to explore beyond this book, fostering an environment conducive to independent learning and research • Closes the gap between complex GAN methodologies and their practical implementation, allowing readers to directly apply their knowledge • Empowers you with the skills and knowledge needed to confidently use GANs in your projects Prepare to deep dive into the captivating realm of GANs and experience the power of AI like never before with Generative Adversarial Networks (GANs) in Practice. This book brings together the theory and practical aspects of GANs in a cohesive and accessible manner, making it an essential resource for both beginners and experienced practitioners.