​Využití umělé inteligence v produkci autorské elektronické taneční hudby

This bachelor’s thesis focuses on identifying creative barriers associated with working with vocals in electronic dance music (EDM) production and on eliminating these barriers using artificial intelligence available in 2024. The thesis includes a questionnaire survey, an analysis of standard vocal production techniques in professional EDM tracks, a case study demonstrating EDM production and an interview with the CEO and a founder of one of the most popular online AI voice platforms. The theoretical part of this thesis covers the basics of electronic dance music production, theoretical knowledge about artificial intelligence, and its potential for music creation. The practical part includes a questionnaire survey among EDM producers, followed by an analysis of the most common practices for working with vocals in EDM production, a case study of EDM track production, a comparison of approaches, and an evaluation of whether the research objectives were met. The most common barriers faced by EDM producers when working with vocals in EDM include challenges in acquiring suitable vocals. Each method of acquiring them holds its own barriers – copyright issues and technical complexity in samplick, a lack of originality when using sample platforms like Splice and the necessary modulation of such vocals, time consumption when working with singers/producers‘ own voice and financial demands assosiated with working with a singer/using producers‘ own voice. From the questionnaire survey was found out that producers most frequently use a sample platform Splice as a source of vocals and that in more than half of the cases AI is not used in music production. The analysis reveals that the most common sources of vocals for EDM production in 2024 are: using online sample packs and platforms, using text-to-speech synthesis, recording short phrases for club music, sampling and collaborating with singers. The case study reveals that artificial intelligence can eliminate barries associated with working with vocals in electronic dance music (EDM) production, particulary in vocals acquisition and reducing time and financial demands – AI allows for faster and simpler sampling and voice transformation features can for example fasten recording individual voices to create a choir or to just alter a voice to better fit a specific EDM track. With generative AI platforms such as Suno an entire vocal can be generated, sampled with a stem separation AI and used in a specific EDM track. The use of artificial intelligence is a controversial topic due to issues related to copyright, the origins of datasets required for GenAI platform Suno’s functionality and the use of someone else’s voice without their consent.