An Introduction to Audio Content Analysis: Music Information Retrieval Tasks and Applications

Book Description

An Introduction toAudio Content Analysis

Enables readers to understand the algorithmic analysis of musical audio signals with AI-driven approaches

An Introduction to Audio Content Analysisserves 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 inIntroduction to Audio Content Analysisinclude:

• Digital audio signals and their representation, common time-frequency transforms, audio features
• Pitch and fundamental frequency detection, key and chord
• Re赛斯纳presentation 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 Analysiscovers a wide range纪梵希 (1) of introductory topics pertaining to music information retrieval and machine listening, allowing students and researchers to quickly gain core holist明星ic knowledge in audio analysis and dig deeper into specific aspects of the field with the help of a large amount of references.

中文：

书名：音频内容分析导论: 音乐信息检索任务与应用

音频内容分析导论

使读者能够通过人工智能驱动的方法理解音乐音频信号的算法分析

音频内容分析简介可作为音频内容分析的综合指南，解释如何利用信号处理和机器学习方法从音频中提取音乐内容。它为读者提供了教计算机解释音乐信号的算法理解，从而允许设计与音乐交互的工具。该作品将音频信号处理和机器学习的主题联系在一起，展示了如何使用音频内容分析来自动获取音乐特征。提出了与提取音乐信号的音调，时间，音色和强度相关特性有关的大量音频内容分析任务。从音乐和技术角度介绍了每个任务，详细介绍了算法方法，并提供了有关实现细节和评估的实用指导。

为了帮助读者理解，每个任务描述都以简短介绍所涵盖主题的最重要的音乐和感知特征为开头，然后是详细的算法模型及其评估，并以问题和练习作为结论。对于感兴趣的读者，通过随附的网站提供更新的补充材料康斯登。

由音乐行业的知名专家撰写，音频内容分析简介中涵盖的示例主题包括:

• 数字音频信号及其表示、常用时频变换、音频特性
• 基音和基频检测，键和和弦
• 动态表示音乐和强度相关特征
• 节拍直方图、开始和节奏检测、节拍直方图、音乐结构检测和序列比对
• 音频指纹、音乐流派、情绪和乐器分类

音频内容分析简介是音频信号处理新手和行业专家的宝贵指南，涵盖了与音乐信息检索和机器收听有关的广泛入门主题，允许学生和研究人员在大量参考文献的帮助下，快速获得音频分析方面的核心整体知识，并深入研究该领域的特定方面。