January 22, 2021

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Introduction to Audio Analysis

Introduction to Audio Analysis
Author : Theodoros Giannakopoulos,Aggelos Pikrakis
Publisher : Academic Press
Release Date : 2014-02-15
Category : Computers
Total pages :288
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Introduction to Audio Analysis serves as a standalone introduction to audio analysis, providing theoretical background to many state-of-the-art techniques. It covers the essential theory necessary to develop audio engineering applications, but also uses programming techniques, notably MATLAB®, to take a more applied approach to the topic. Basic theory and reproducible experiments are combined to demonstrate theoretical concepts from a practical point of view and provide a solid foundation in the field of audio analysis. Audio feature extraction, audio classification, audio segmentation, and music information retrieval are all addressed in detail, along with material on basic audio processing and frequency domain representations and filtering. Throughout the text, reproducible MATLAB® examples are accompanied by theoretical descriptions, illustrating how concepts and equations can be applied to the development of audio analysis systems and components. A blend of reproducible MATLAB® code and essential theory provides enable the reader to delve into the world of audio signals and develop real-world audio applications in various domains. Practical approach to signal processing: The first book to focus on audio analysis from a signal processing perspective, demonstrating practical implementation alongside theoretical concepts Bridge the gap between theory and practice: The authors demonstrate how to apply equations to real-life code examples and resources, giving you the technical skills to develop real-world applications Library of MATLAB code: The book is accompanied by a well-documented library of MATLAB functions and reproducible experiments

Introduction to Audio Analysis

Introduction to Audio Analysis
Author : Theodoros Giannakopoulos,Aggelos Pikrakis
Publisher : Academic Press is
Release Date : 2014-02-26
Category : Technology & Engineering
Total pages :266
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Introduction to Audio Analysis serves as a standalone introduction to audio analysis, providing theoretical background to many state-of-the-art techniques. It covers the essential theory necessary to develop audio engineering applications, but also uses programming techniques, notably MATLAB®, to take a more applied approach to the topic. Basic theory and reproducible experiments are combined to demonstrate theoretical concepts from a practical point of view and provide a solid foundation in the field of audio analysis. Audio feature extraction, audio classification, audio segmentation, and music information retrieval are all addressed in detail, along with material on basic audio processing and frequency domain representations and filtering. Throughout the text, reproducible MATLAB® examples are accompanied by theoretical descriptions, illustrating how concepts and equations can be applied to the development of audio analysis systems and components. A blend of reproducible MATLAB® code and essential theory provides enable the reader to delve into the world of audio signals and develop real-world audio applications in various domains. Practical approach to signal processing: The first book to focus on audio analysis from a signal processing perspective, demonstrating practical implementation alongside theoretical concepts Bridge the gap between theory and practice: The authors demonstrate how to apply equations to real-life code examples and resources, giving you the technical skills to develop real-world applications Library of MATLAB code: The book is accompanied by a well-documented library of MATLAB functions and reproducible experiments

An Introduction to Audio Content Analysis

An Introduction to Audio Content Analysis
Author : Alexander Lerch
Publisher : John Wiley & Sons
Release Date : 2012-11-05
Category : Technology & Engineering
Total pages :270
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With the proliferation of digital audio distribution over digital media, audio content analysis is fast becoming a requirement for designers of intelligent signal-adaptive audio processing systems. Written by a well-known expert in the field, this book provides quick access to different analysis algorithms and allows comparison between different approaches to the same task, making it useful for newcomers to audio signal processing and industry experts alike. A review of relevant fundamentals in audio signal processing, psychoacoustics, and music theory, as well as downloadable MATLAB files are also included. Please visit the companion website: www.AudioContentAnalysis.org

Introduction to Audio Processing

Introduction to Audio Processing
Author : Mads G. Christensen
Publisher : Springer
Release Date : 2019-04-17
Category : Technology & Engineering
Total pages :224
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This textbook presents an introduction to signal processing for audio applications. The author’s approach posits that math is at the heart of audio processing and that it should not be simplified. He thus retains math as the core of signal processing and includes concepts of difference equations, convolution, and the Fourier Transform. Each of these is presented in a context where they make sense to the student and can readily be applied to build artifacts. Each chapter in the book builds on the previous ones, building a linear, coherent story. The book starts with a definition of sound and goes on to discuss digital audio signals, filters, The Fourier Transform, audio effects, spatial effects, audio equalizers, dynamic range control, and pitch estimation. The exercises in each chapter cover the application of the concepts to audio signals. The exercises are made specifically for Pure Data (Pd) although traditional software, such as MATLAB, can be used. The book is intended for students in media technology bachelor programs. The book is based on material the author developed teaching on the topic over a number of years.

Introduction to Pattern Recognition

Introduction to Pattern Recognition
Author : Sergios Theodoridis,Aggelos Pikrakis,Konstantinos Koutroumbas,Dionisis Cavouras
Publisher : Academic Press
Release Date : 2010-03-03
Category : Computers
Total pages :231
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Introduction to Pattern Recognition: A Matlab Approach is an accompanying manual to Theodoridis/Koutroumbas' Pattern Recognition. It includes Matlab code of the most common methods and algorithms in the book, together with a descriptive summary and solved examples, and including real-life data sets in imaging and audio recognition. This text is designed for electronic engineering, computer science, computer engineering, biomedical engineering and applied mathematics students taking graduate courses on pattern recognition and machine learning as well as R&D engineers and university researchers in image and signal processing/analyisis, and computer vision. Matlab code and descriptive summary of the most common methods and algorithms in Theodoridis/Koutroumbas, Pattern Recognition, Fourth Edition Solved examples in Matlab, including real-life data sets in imaging and audio recognition Available separately or at a special package price with the main text (ISBN for package: 978-0-12-374491-3)

Introduction to Digital Filters

Introduction to Digital Filters
Author : Julius O. Smith
Publisher : Julius Smith
Release Date : 2007
Category : Computers
Total pages :460
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A digital filter can be pictured as a "black box" that accepts a sequence of numbers and emits a new sequence of numbers. In digital audio signal processing applications, such number sequences usually represent sounds. For example, digital filters are used to implement graphic equalizers and other digital audio effects. This book is a gentle introduction to digital filters, including mathematical theory, illustrative examples, some audio applications, and useful software starting points. The theory treatment begins at the high-school level, and covers fundamental concepts in linear systems theory and digital filter analysis. Various "small" digital filters are analyzed as examples, particularly those commonly used in audio applications. Matlab programming examples are emphasized for illustrating the use and development of digital filters in practice.

Hack Audio

Hack Audio
Author : Eric Tarr
Publisher : Routledge
Release Date : 2018-06-28
Category : Technology & Engineering
Total pages :458
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Computers are at the center of almost everything related to audio. Whether for synthesis in music production, recording in the studio, or mixing in live sound, the computer plays an essential part. Audio effects plug-ins and virtual instruments are implemented as software computer code. Music apps are computer programs run on a mobile device. All these tools are created by programming a computer. Hack Audio: An Introduction to Computer Programming and Digital Signal Processing in MATLAB provides an introduction for musicians and audio engineers interested in computer programming. It is intended for a range of readers including those with years of programming experience and those ready to write their first line of code. In the book, computer programming is used to create audio effects using digital signal processing. By the end of the book, readers implement the following effects: signal gain change, digital summing, tremolo, auto-pan, mid/side processing, stereo widening, distortion, echo, filtering, equalization, multi-band processing, vibrato, chorus, flanger, phaser, pitch shifter, auto-wah, convolution and algorithmic reverb, vocoder, transient designer, compressor, expander, and de-esser. Throughout the book, several types of test signals are synthesized, including: sine wave, square wave, sawtooth wave, triangle wave, impulse train, white noise, and pink noise. Common visualizations for signals and audio effects are created including: waveform, characteristic curve, goniometer, impulse response, step response, frequency spectrum, and spectrogram. In total, over 200 examples are provided with completed code demonstrations.

Computational Analysis of Sound Scenes and Events

Computational Analysis of Sound Scenes and Events
Author : Tuomas Virtanen,Mark D. Plumbley,Dan Ellis
Publisher : Springer
Release Date : 2017-09-21
Category : Technology & Engineering
Total pages :422
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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.

Audio and Speech Processing with MATLAB

Audio and Speech Processing with MATLAB
Author : Paul Hill
Publisher : CRC Press
Release Date : 2018-12-07
Category : Technology & Engineering
Total pages :330
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Speech and audio processing has undergone a revolution in preceding decades that has accelerated in the last few years generating game-changing technologies such as truly successful speech recognition systems; a goal that had remained out of reach until very recently. This book gives the reader a comprehensive overview of such contemporary speech and audio processing techniques with an emphasis on practical implementations and illustrations using MATLAB code. Core concepts are firstly covered giving an introduction to the physics of audio and vibration together with their representations using complex numbers, Z transforms and frequency analysis transforms such as the FFT. Later chapters give a description of the human auditory system and the fundamentals of psychoacoustics. Insights, results, and analyses given in these chapters are subsequently used as the basis of understanding of the middle section of the book covering: wideband audio compression (MP3 audio etc.), speech recognition and speech coding. The final chapter covers musical synthesis and applications describing methods such as (and giving MATLAB examples of) AM, FM and ring modulation techniques. This chapter gives a final example of the use of time-frequency modification to implement a so-called phase vocoder for time stretching (in MATLAB). Features A comprehensive overview of contemporary speech and audio processing techniques from perceptual and physical acoustic models to a thorough background in relevant digital signal processing techniques together with an exploration of speech and audio applications. A carefully paced progression of complexity of the described methods; building, in many cases, from first principles. Speech and wideband audio coding together with a description of associated standardised codecs (e.g. MP3, AAC and GSM). Speech recognition: Feature extraction (e.g. MFCC features), Hidden Markov Models (HMMs) and deep learning techniques such as Long Short-Time Memory (LSTM) methods. Book and computer-based problems at the end of each chapter. Contains numerous real-world examples backed up by many MATLAB functions and code.

Principles of Forensic Audio Analysis

Principles of Forensic Audio Analysis
Author : Robert C. Maher
Publisher : Springer
Release Date : 2018-12-05
Category : Science
Total pages :147
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This book provides an expert introduction to audio forensics, an essential specialty in modern forensic science, equipping readers with the fundamental background necessary to understand and participate in this exciting and important field of study. Modern audio forensic analysis combines skills in digital signal processing, the physics of sound propagation, acoustical phonetics, audio engineering, and many other fields. Scientists and engineers who work in the field of audio forensics are called upon to address issues of authenticity, quality enhancement, and signal interpretation for audio evidence that is important to a criminal law enforcement investigation, an accident investigation board, or an official civil inquiry. Expertise in audio forensics has never been more important. In addition to routine recordings from emergency call centers and police radio dispatchers, inexpensive portable audio/video recording systems are now in widespread use. Forensic evidence from the scene of a civil or criminal incident increasingly involves dashboard recorders in police cars, vest-pocket personal recorders worn by law enforcement officers, smart phone recordings from bystanders, and security surveillance systems in public areas and businesses. Utilizing new research findings and both historical and contemporary casework examples, this book blends audio forensic theory and practice in an informative and readable manner suitable for any scientifically-literate reader. Extensive examples, supplementary material, and authoritative references are also included for those who are interested in delving deeper into the field.

Fundamentals of Music Processing

Fundamentals of Music Processing
Author : Meinard Müller
Publisher : Springer
Release Date : 2015-07-21
Category : Computers
Total pages :487
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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.

Communication Acoustics

Communication Acoustics
Author : Ville Pulkki,Matti Karjalainen
Publisher : John Wiley & Sons
Release Date : 2015-01-27
Category : Technology & Engineering
Total pages :454
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This book aims to convey to engineering students and researchers alike the relevant knowledge about the nature of acoustics, sound and hearing that will enable them to develop new technologies in this area through acquiring a thorough understanding of how sound and hearing works. There is currently no technical book available covering the communication path from sound sources through medium to the formation of auditory events in the brain – this book will fill this gap in the current book literature. It discusses the multidisciplinary area of acoustics, hearing, psychoacoustics, signal processing, speech and sound quality and is suitable for use as a main course textbook for senior undergraduate and graduate courses related to audio communication systems. It covers the basics of signal processing, traditional acoustics as well as the human hearing system and how to build audio techniques based on human hearing resolution. It discusses the technologies and applications for sound synthesis and reproduction, and for speech and audio quality evaluation.

Machine Learning for Audio, Image and Video Analysis

Machine Learning for Audio, Image and Video Analysis
Author : Francesco Camastra,Alessandro Vinciarelli
Publisher : Springer
Release Date : 2015-07-21
Category : Computers
Total pages :561
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This second edition focuses on audio, image and video data, the three main types of input that machines deal with when interacting with the real world. A set of appendices provides the reader with self-contained introductions to the mathematical background necessary to read the book. Divided into three main parts, From Perception to Computation introduces methodologies aimed at representing the data in forms suitable for computer processing, especially when it comes to audio and images. Whilst the second part, Machine Learning includes an extensive overview of statistical techniques aimed at addressing three main problems, namely classification (automatically assigning a data sample to one of the classes belonging to a predefined set), clustering (automatically grouping data samples according to the similarity of their properties) and sequence analysis (automatically mapping a sequence of observations into a sequence of human-understandable symbols). The third part Applications shows how the abstract problems defined in the second part underlie technologies capable to perform complex tasks such as the recognition of hand gestures or the transcription of handwritten data. Machine Learning for Audio, Image and Video Analysis is suitable for students to acquire a solid background in machine learning as well as for practitioners to deepen their knowledge of the state-of-the-art. All application chapters are based on publicly available data and free software packages, thus allowing readers to replicate the experiments.

Analyzing Sound Patterns

Analyzing Sound Patterns
Author : Long Peng
Publisher : Cambridge University Press
Release Date : 2013-08-08
Category : Language Arts & Disciplines
Total pages :129
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Analyzing Sound Patterns is a clear and concise introduction to phonological phenomena, covering a wide range of issues from segmental to suprasegmental problems and prosodic morphology. Assuming no prior knowledge of problem solving, this textbook shows students how to analyze phonological problems with a focus on practical tools, methodology and step-by-step instructions. It is aimed at undergraduate and beginning graduate students and places an instructional focus on developing students' analytical abilities. It includes extensive exercises of various types which engage students in reading and evaluating competing analyses, and involves students in a variety of analytical tasks. This textbook: • is designed around related phonological problems and demonstrates how they are analyzed step by step • presents and compares competing accounts of identical problems, and discusses and evaluates the arguments that distinguish one analysis from another • details how a broad array of sound patterns are identified and analyzed.

Introduction to Audio Signal Processing

Introduction to Audio Signal Processing
Author : Warren L. G. Koontz
Publisher : RIT Press
Release Date : 2016-12-01
Category :
Total pages :184
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Audio signal processing is at the heart of recording, enhancing, storing and transmitting audio content. Audio signal processing is used to convert between analog and digital formats, to cut or boost selected frequency ranges, to remove unwanted noise, to add effects and to obtain many other desired results. Today, this process can be done on an ordinary PC or laptop, as well as specialized recording equipment.Warren Koontz provides an introduction to this important topic with an emphasis on digital audio signal processing. Starting with a basic overview of sound and analog audio signals, he proceeds through the processes of sampling and quantizing to digital audio signals. The book introduces and develops both time and frequency domain processing of digital audio signals and, in the later chapters, examines specific applications such as equalizer design, effect generation and file compression.Introduction to Audio Signal Processing will appeal to undergraduate engineering and engineering technology students. Using examples and exercises with MATLAB scripts and functions, including MATLAB streaming audio, students will be able to process audio in real time on their own PC.