Catalogue Search | MBRL
Are you sure you want to remove the book from the shelf?
{{itemTitle}}
1,943
result(s) for
"Music Data processing."
Sort by:
Music and Technologies 2
The findings of this book are drawn from a conference held in 2013 in Kaunas, Lithuania, titled \"Music and Technologies 2\", which provided a continuous discussion on the interdisciplinary music research developing currently at such important forums as the CIM (Conference on Interdisciplinary Musicology) and the ISMIR (International Society for Music Information Retrieval). This book consists of a collection of articles written by musicologists and musical performers, sound engineers, and educ.
eBook
Music and Technologies
Based on the conference held in Kaunas, Lithuania, 2011, Music and Technologies aims to augment discussion within the field of interdisciplinary music research developed currently at such important forums as the CIM and the ISMIR. The book consists of a collection of articles written by musicians and computer scientists, educators and mathematicians from all over the world. The main contemporary ideas in the field of music technologies are explored - estimating the process of automatic cognit.
eBook
Mixing and mastering in the box : the guide to making great mixes and final masters on your computer
\"Mixing and mastering, the two final steps in the complex process of sound engineering, require both artistic finesse and technical facility. Even the slightest difference in the way a sound is processed can lead to a shift in the overall aesthetic of a piece, and so sound engineers must work towards an understanding of sound engineering that is particularly oriented towards the artistic and aesthetic. In order to create effective mixes, a sound engineer must maintain a distinct set of artistic goals while drawing on an in-depth understanding of the software involved in the process. Creating final masters requires specialized aural skills and a similarly advanced understanding of the software in order to fine-tune the product with respect to these goals. Mixing and Mastering in the Box addresses the practical and technological necessities of these two final steps without neglecting the creative process that is integral to the creation of high-quality recordings. Savage focuses primarily on creating mixes and masters in the Digital Audio Workstation (DAW), or \"in the box,\" currently a popular platform in the field of sound engineering due to the creative advantages and advanced technological capabilities it offers to its users. However, much of the information presented in Mixing and Mastering in the Box is also applicable to analog mixing gear or a hybrid system of digital and analog tools. This book, which features over one hundred illustrations and a comprehensive companion website, is ideal for beginning or intermediate students in sound engineering with a focus on DAW, recording artists who do their own mixing and mastering, or musicians who wish to be better informed when collaborating on mixes and masters\"-- Provided by publisher.
Book
Signal Processing, Speech and Music
This text offers a comprehensive introduction to the theory of signals and systems and the way in which this theory is applied to the study of acoustic communication (both digital and analogue): the development of systems for producing, transmitting and processing speech and music signals.
eBook
The Computer and Music
The first of its kind, this is book consists of twenty-one essays describing the many different uses of the digital computer in the field of music.
eBook
Music Data Mining
Advances in digital music technology have created challenges for effectively accessing and interacting with large collections of music and associated data. This book explores how data mining addresses these challenges by mining useful information and using it to create novel ways of interacting with large music collections. Leading experts in data mining, machine learning, and music science examine fundamental issues of classification and audio signal processing and discuss social aspects of music mining. They also present new research in instrument recognition, mood and emotion classification, and hit song prediction science.
eBook