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Italian literature --- History and criticism.

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Musicians in Crisis is a music ethnography of contemporary Athens, before and during the infamous economic and political crisis. It spans two contrasting periods in Greece: the last few years of relative economic prosperity and social cohesion (2005-2009) and the following period of austerity and socio-political turmoil (2010-2017). Based on the author's participation and professional involvement in the local music scenes since 2005, the monograph untangles a web of creative practices, economic strategies and social ideologies through the previously unheard voices of Athenian music professionals. The book follows the life stories of freelance musicians of different genders, ages, educational backgrounds and musical genres, while they work' and play' in Athenian venues, recording studios and classrooms. Adding to the growing literature on precarity and resistance in the creative industries, it traces the effects of unprecedented socioeconomic circumstances on musicians' everyday experience, as well as the actions and solidarities that help them to navigate personal and collective devastation. Through rich and evocative testimonies from the labourers of an industrious popular music scene, Musicians in Crisis contests popular narratives of the Greek predicament as they are reported by political and nancial elites through international media. In this process, the book tells a story about how popular music is made in the liminal spaces between East and West, affuence and poverty, harmony and turmoil.

Popular music --- History and criticism.

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German literature --- History and criticism.

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Design and use machine learning models for music generation using Magenta and make them interact with existing music creation tools Key Features Learn how machine learning, deep learning, and reinforcement learning are used in music generation Generate new content by manipulating the source data using Magenta utilities, and train machine learning models with it Explore various Magenta projects such as Magenta Studio, MusicVAE, and NSynth Book Description The importance of machine learning (ML) in art is growing at a rapid pace due to recent advancements in the field, and Magenta is at the forefront of this innovation. With this book, you'll follow a hands-on approach to using ML models for music generation, learning how to integrate them into an existing music production workflow. Complete with practical examples and explanations of the theoretical background required to understand the underlying technologies, this book is the perfect starting point to begin exploring music generation. The book will help you learn how to use the models in Magenta for generating percussion sequences, monophonic and polyphonic melodies in MIDI, and instrument sounds in raw audio. Through practical examples and in-depth explanations, you'll understand ML models such as RNNs, VAEs, and GANs. Using this knowledge, you'll create and train your own models for advanced music generation use cases, along with preparing new datasets. Finally, you'll get to grips with integrating Magenta with other technologies, such as digital audio workstations (DAWs), and using Magenta.js to distribute music generation apps in the browser. By the end of this book, you'll be well-versed with Magenta and have developed the skills you need to use ML models for music generation in your own style. What you will learn Use RNN models in Magenta to generate MIDI percussion, and monophonic and polyphonic sequences Use WaveNet and GAN models to generate instrument notes in the form of raw audio Employ Variational Autoencoder models like MusicVAE and GrooVAE to sample, interpolate, and humanize existing sequences Prepare and create your dataset on specific styles and instruments Train your network on your personal datasets and fix problems when training networks Apply MIDI to synchronize Magenta with existing music production tools like DAWs Who this book is for This book is for technically inclined artists and musically inclined computer scientists. Readers who want to get hands-on with building...

Machine learning. --- Computer music --- History and criticism.

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Hörspiel gibt es in Deutschland seit beinahe 100 Jahren. Es begann als ›Kunst des Rundfunks‹ und war zunächst nur am Mittelwellenradio zu hören. Heute gibt es Hörspiele nicht nur im linearen Radio, sondern auch als Audiobook, Compact Disc, Podcast oder im Streaming. Aus der reinen Radiokunst ist eine Audiokunst geworden, die sogar in Theatern, Parkanlagen und Fußballstadien gehört wird. Und jeder kann heute selbst ›Hörspiele‹ produzieren.Die Kleine Geschichte des Hörspiels erzählt prägnant die Geschichte des Hörspiels von den Anfängen 1924 bis heute und zeigt die Veränderungen der akustischen Kunst inmitten sich rapide und radikal verändernder Medienlandschaften: Ästhetisch, technisch, ökonomisch, programmgeschichtlich, personell. Vor allem aber beschreibt der Band das Hörspiel als einzigartiges akustisches Ereignis.Dr. Hans-Jürgen Krug arbeitet als Publizist und Medienwissenschaftler inHamburg.

Radio plays, German --- German drama --- History and criticism. --- History and criticism.