Signal Processing Methods for Music Transcription
Title | Signal Processing Methods for Music Transcription PDF eBook |
Author | Anssi Klapuri |
Publisher | Springer Science & Business Media |
Pages | 443 |
Release | 2007-02-26 |
Genre | Technology & Engineering |
ISBN | 0387328459 |
This book serves as an ideal starting point for newcomers and an excellent reference source for people already working in the field. Researchers and graduate students in signal processing, computer science, acoustics and music will primarily benefit from this text. It could be used as a textbook for advanced courses in music signal processing. Since it only requires a basic knowledge of signal processing, it is accessible to undergraduate students.
Signal Processing Methods for Drum Transcription and Music Structure Analysis
Title | Signal Processing Methods for Drum Transcription and Music Structure Analysis PDF eBook |
Author | Jouni Paulus |
Publisher | |
Pages | 174 |
Release | |
Genre | |
ISBN | 9789521523052 |
Signal Processing Methods for the Automatic Transcription of Music
Title | Signal Processing Methods for the Automatic Transcription of Music PDF eBook |
Author | Anssi Klapuri |
Publisher | |
Pages | 112 |
Release | 2004 |
Genre | |
ISBN | 9789521511479 |
Signal Processing for Music Transcription
Title | Signal Processing for Music Transcription PDF eBook |
Author | John Redgrave |
Publisher | |
Pages | |
Release | 2005 |
Genre | Analog-to-digital converters |
ISBN |
Speech and Audio Signal Processing
Title | Speech and Audio Signal Processing PDF eBook |
Author | Ben Gold |
Publisher | John Wiley & Sons |
Pages | 684 |
Release | 2011-08-23 |
Genre | Technology & Engineering |
ISBN | 0470195363 |
When Speech and Audio Signal Processing published in 1999, it stood out from its competition in its breadth of coverage and its accessible, intutiont-based style. This book was aimed at individual students and engineers excited about the broad span of audio processing and curious to understand the available techniques. Since then, with the advent of the iPod in 2001, the field of digital audio and music has exploded, leading to a much greater interest in the technical aspects of audio processing. This Second Edition will update and revise the original book to augment it with new material describing both the enabling technologies of digital music distribution (most significantly the MP3) and a range of exciting new research areas in automatic music content processing (such as automatic transcription, music similarity, etc.) that have emerged in the past five years, driven by the digital music revolution. New chapter topics include: Psychoacoustic Audio Coding, describing MP3 and related audio coding schemes based on psychoacoustic masking of quantization noise Music Transcription, including automatically deriving notes, beats, and chords from music signals. Music Information Retrieval, primarily focusing on audio-based genre classification, artist/style identification, and similarity estimation. Audio Source Separation, including multi-microphone beamforming, blind source separation, and the perception-inspired techniques usually referred to as Computational Auditory Scene Analysis (CASA).
Signal Processing Techniques Applied to Automatic Music Transcription
Title | Signal Processing Techniques Applied to Automatic Music Transcription PDF eBook |
Author | Gianni Pantaleo |
Publisher | |
Pages | |
Release | 2012 |
Genre | |
ISBN |
Fundamentals of Music Processing
Title | Fundamentals of Music Processing PDF eBook |
Author | Meinard Müller |
Publisher | Springer |
Pages | 509 |
Release | 2015-07-21 |
Genre | Computers |
ISBN | 3319219456 |
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.