Recounts the author's experiences working as a recording engineer for such artists as the Beatles, David Bowie, and Duran Duran, in a text that also features anecdotes and technical details of the trade.
George Harrison was one of the most prolific popular music composers of the late 20th century. During his tenure with the Beatles, he caught the wave of 1960s pop culture and began channeling its pervasive influence through his music. Often described as "The Invisible Singer," his solo recordings reveal him to be an elusive, yet essential, element in the Beatles’ sound. The discussion of George Harrison’s Beatle tracks featured in the text employs a Songscape approach that blends accessible music analysis with an exploration of the virtual space created on the sound recording. This approach is then used to explore Harrison’s extensive catalog of solo works, which, due to their varied cultural sources, seem increasingly like early examples of Global Pop. In that sense, the music of George Harrison may ultimately be viewed as an important locus for pan-cultural influence in the 20th century, making this book essential reading for those interested in the history of songwriting and recording as well as the cultural study of popular music.
The second book of two, Sound Pictures traces the story of George Martin and the Beatles' incredible artistic trajectory after reaching the creative heights of Rubber Soul. As the bandmates engage in brash experimentation both inside and outside of the studio, creating such masterworks as Revolver, Sgt. Pepper's Lonely Hearts Club Band, The Beatles (The White Album), and Abbey Road, the internal stakes and interpersonal challenges become ever greater. During his post-Beatles years, Martin attempts to discover new vistas of sound recording with a host of acts, including Jeff Beck, America, Cheap Trick, Paul McCartney, and Elton John. Eventually, though, all roads lead Martin back to the Beatles.
You'll never listen to music the same way again! Producer, audio engineer, and author Bobby Owsinski takes you behind-the-scenes of 20 of the most beloved classic rock hits of the 1960s, '70s, and '80s. Using a technique refined after years of listening to songs under the microscope of the studio, each song analysis by Bobby describes exactly how the song was constructed and why it was a hit, examining in detail the song form, the arrangement, the sound, and the production. This is a valuable must-have for everyone who loves music, musicians learning about arrangements, producers wanting to learn how hits are constructed, audio engineers analyzing the sounds of the hits, songwriters looking inside a hit's secrets, and fans who love facts and trivia about their favorite artists. Every song analysis has numerous "listen to" moments pointing out small but significant changes in the arrangement or sound that you might not have noticed before. Plus you'll get all the song facts never found all in one place like release date, songwriters, recording studio information, number of units sold, and chart position. Includes: * All Along the Watchtower (The Jimi Hendrix Experience) * Sunshine of Your Love (Cream) * Gimme Shelter (The Rolling Stones) * Peaches en Regalia (Frank Zappa) * Stairway to Heaven (Led Zeppelin) * Maggie May (Rod Stewart) * Won't Get Fooled Again (The Who) * Rocky Mountain Way (Joe Walsh and Barnstorm) * Dream On (Aerosmith) * Living for the City (Stevie Wonder) * Born to Run (Bruce Springsteen) * More than a Feeling (Boston) * Detroit Rock City (KISS) * Suffragette City (David Bowie) * Hotel California (The Eagles) * Sultans of Swing (Dire Straits) * Refugee (Tom Petty and the Heartbreakers) * Tom Sawyer (Rush) * Back in Black (AC/DC) * In the Air Tonight (Phil Collins)
The first photographic celebration of the most famous recording studio in the world, publishing in its 80th year. Unprecedented access to the Abbey Road archive - from Edward Elgar to the Beatles, Kate Bush to Elbow the most famous artists in the world have recorded here. This gorgeous book includes material on the artists, the engineers, the technology and the history of Abbey Road. It's an incredible document of cultural history, for anyone who values music and how it's made.
Leverage benefits of machine learning techniques using Python About This Book Improve and optimise machine learning systems using effective strategies. Develop a strategy to deal with a large amount of data. Use of Python code for implementing a range of machine learning algorithms and techniques. Who This Book Is For This title is for data scientist and researchers who are already into the field of data science and want to see machine learning in action and explore its real-world application. Prior knowledge of Python programming and mathematics is must with basic knowledge of machine learning concepts. What You Will Learn Learn to write clean and elegant Python code that will optimize the strength of your algorithms Uncover hidden patterns and structures in data with clustering Improve accuracy and consistency of results using powerful feature engineering techniques Gain practical and theoretical understanding of cutting-edge deep learning algorithms Solve unique tasks by building models Get grips on the machine learning design process In Detail Machine learning and predictive analytics are becoming one of the key strategies for unlocking growth in a challenging contemporary marketplace. It is one of the fastest growing trends in modern computing, and everyone wants to get into the field of machine learning. In order to obtain sufficient recognition in this field, one must be able to understand and design a machine learning system that serves the needs of a project. The idea is to prepare a learning path that will help you to tackle the real-world complexities of modern machine learning with innovative and cutting-edge techniques. Also, it will give you a solid foundation in the machine learning design process, and enable you to build customized machine learning models to solve unique problems. The course begins with getting your Python fundamentals nailed down. It focuses on answering the right questions that cove a wide range of powerful Python libraries, including scikit-learn Theano and Keras.After getting familiar with Python core concepts, it's time to dive into the field of data science. You will further gain a solid foundation on the machine learning design and also learn to customize models for solving problems. At a later stage, you will get a grip on more advanced techniques and acquire a broad set of powerful skills in the area of feature selection and feature engineering. Style and approach This course includes all the resources that will help you jump into the data science field with Python. The aim is to walk through the elements of Python covering powerful machine learning libraries. This course will explain important machine learning models in a step-by-step manner. Each topic is well explained with real-world applications with detailed guidance.Through this comprehensive guide, you will be able to explore machine learning techniques.
Like all double albums, Songs in the Key of Life is imperfect but audacious. If its titular concern - life - doesn't exactly allow for rigid focus, it's still a fiercely inspired collection of songs and one of the definitive soul records of the 1970s. Stevie Wonder was unable to control the springs of his creativity during that decade. Upon turning 21 in 1971, he freed himself from the Motown contract he'd been saddled with as a child performer, renegotiated the terms, and unleashed hundreds of songs to tape. Over the next five years, Wonder would amass countless recordings and release his five greatest albums - as prolific a golden period as there has ever been in contemporary music. But Songs in the Key of Life is different from the four albums that preceded it; it's an overstuffed, overjoyed, maddeningly ambitious encapsulation of all the progress Stevie Wonder had made in that short space of time. Zeth Lundy's book, in keeping with the album's themes, is structured as a life cycle. It's divided into the following sections: Birth; Innocence/Adolescence; Experience/Adulthood; Death; Rebirth. Within this framework, Zeth Lundy covers Stevie Wonder's excessive work habits and recording methodology, his reliance on synthesizers, the album's place in the gospel-inspired progression of 1970s R'n'B, and many other subjects.
Business & Economics by United States. Unemployment Insurance Service. Office of Quality Control. Division of Systems Operations and Analysis
VH1's 100 Greatest Albums television series sparked much debate about the accuracy of its list, but it was a great guide for any serious or casual music fan as to which albums should be staples in any record collection. As a book, the 100 Greatest Albums will be the perfect reference for building a substantive and thorough collection, as well as just being an entertaining read about some of the most important works ever created in music history. The book follows the order of the list, starting at 100 and working towards number one. Each album is discussed thoroughly across a two-page spread and each spread will include; an image of the album cover, the year of release, the record label, production and engineering credits, band members and instruments played, appropriate quote or quotes about the album from other artists, an essay that gives context to the album by examining its historical significance and detailing what makes the album unique by diving into the songs.