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, a
MP3 is one of the most commonly used form of Audio Signal Processing today. It is important as a stu...
Compared to traditional speech, music, or sound processing, the computational analysis of general au...
The purpose it is to make the development of an algorithm that is able to extract the features of au...
"With the proliferation of digital audio distribution over digital media, audio content analysis is ...
Applied Speech and Audio Processing is a MATLAB-based, one-stop resource that blends speech and hear...
This book provides the reader with the knowledge necessary for comprehension of the field of Intelli...
Audio signal classification (ASC) involves extracting relevant features from a sound, where they wil...
In the physical sciences and engineering domains, music has traditionally been considered an acousti...
Purpose: Create and share a MATLAB library that performs data augmentation algorithms for audio data...
Purpose: Create and share a MATLAB library that performs data augmentation algorithms for audio data...
A fundamental aspect of audio segmentation is classification. Classification refers to placing the a...
Includes bibliographical references (p. 200-201) and index.Book fair 2012.x, 206 p.
This paper describes the theoretic framework and applications of automatic audio content analysis. R...
Introduction to computational modeling and applications of auditory scene analysis, including some s...
This second edition focuses on audio, image and video data, the three main types of input that machi...
MP3 is one of the most commonly used form of Audio Signal Processing today. It is important as a stu...
Compared to traditional speech, music, or sound processing, the computational analysis of general au...
The purpose it is to make the development of an algorithm that is able to extract the features of au...
"With the proliferation of digital audio distribution over digital media, audio content analysis is ...
Applied Speech and Audio Processing is a MATLAB-based, one-stop resource that blends speech and hear...
This book provides the reader with the knowledge necessary for comprehension of the field of Intelli...
Audio signal classification (ASC) involves extracting relevant features from a sound, where they wil...
In the physical sciences and engineering domains, music has traditionally been considered an acousti...
Purpose: Create and share a MATLAB library that performs data augmentation algorithms for audio data...
Purpose: Create and share a MATLAB library that performs data augmentation algorithms for audio data...
A fundamental aspect of audio segmentation is classification. Classification refers to placing the a...
Includes bibliographical references (p. 200-201) and index.Book fair 2012.x, 206 p.
This paper describes the theoretic framework and applications of automatic audio content analysis. R...
Introduction to computational modeling and applications of auditory scene analysis, including some s...
This second edition focuses on audio, image and video data, the three main types of input that machi...
MP3 is one of the most commonly used form of Audio Signal Processing today. It is important as a stu...
Compared to traditional speech, music, or sound processing, the computational analysis of general au...
The purpose it is to make the development of an algorithm that is able to extract the features of au...