The book "Using the perception of images for processing and restoring musical signals" by Kudinov A. A. is a unique work that immerses the reader in the world of modern sound and music processing technologies The age of digital technology and the rapid development of artificial intelligence open new horizons in the field of music, and this book becomes a guide to these innovations. Author, A. A. Kudinov is an expert in the field of signal processing and pattern recognition, which makes his work especially valuable for specialists and students interested in music, acoustics and modern technologies. In his book, he offers readers an in-depth understanding of how pattern recognition can be used to analyze and recover music signals, a hot topic in light of the ever-increasing interest in sound quality and processing. The book covers a wide range of topics, ranging from the basics of signal processing theory to practical examples of the use of pattern recognition algorithms in music. Readers will be able to learn about different methods of sound analysis, such as spectral analysis, time series, and machine learning methods. Kudinov shares his knowledge on how these technologies can be used to restore damaged music records, improve sound quality and create new musical works. This book will be interesting not only for professional musicians and sound engineers, but also for students studying in the field of information technology, music and acoustics. It will also attract the attention of music lovers who want to understand more deeply how modern technologies affect the creation and perception of musical works. If you are interested in how artificial intelligence and algorithms can change the music industry, then this work will be a real find for you. The topics raised in the book go beyond simple sound analysis. Kudinov touches on the issues of aesthetics, perception of music and the role of technology in the creative process. It asks questions about how technology can change our understanding of music and how it affects creative expression. These reflections make the book not only technically informative, but also philosophically rich, which gives it special value. Kudinov’s style is distinguished by clarity and accessibility, which allows even those who do not have deep knowledge in the field of signal processing to easily absorb material. His ability to explain complex concepts in simple language makes the book attractive to a wide audience. In addition, the author shares practical examples and case studies, which allows readers to see how theoretical knowledge can be applied in practice. Whether you’re looking for books on sound processing, pattern recognition, or just want to learn more about how modern technology is changing the music industry, “Using image recognition to process and recover music signals” will be an important source of knowledge for you. This work will not only expand your horizons in music and technology, but will also inspire new ideas and experiments in your own work. In conclusion, Kudinov’s book is not just a textbook, but a real find for everyone who wants to understand how music and technology are intertwined in the modern world. Do not miss the opportunity to immerse yourself in this fascinating topic and discover new horizons of musical creativity!