Fundamentals of Music Processing

Name: Fundamentals of Music Processing
Brand: Springer Nature Switzerland AG
SKU: 9783030698072
Price: 31032 HUF
Availability: InStock

Using Python and Jupyter Notebooks

Szerző: Meinard Muller

Nyelv:

Kötés: Kemény kötésű

Kiadó: Springer Nature Switzerland AG

Elérhetőség: Beszállítói készleten

Küldés 10-13 napon belül

31 032 Ft

The textbook provides both profound technological knowledge and a comprehensive treatment of essenti...

Információk a könyvről

Szerző

Meinard Muller

Nyelv

Angol

Kötés

Könyv - Kemény kötésű

Kiadva

2021

oldal

495

EAN

9783030698072

ISBN

3030698076

Enbook ID

35570234

Kiadó

Springer Nature Switzerland AG

Súly

1114

Méretek

241 x 159 x 33

Teljes leírás

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.

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Fundamentals of Music Processing

Using Python and Jupyter Notebooks

Információk a könyvről

Teljes leírás

Érdekelheti

Azok a vásárlók, akik ezt a könyvet megvásárolták, a következőket is megvásárolták