Human-machine Voice and Human-machine Competition: Practical Landscape, Pattern Changes and Industrial Challenges of Generative AI-Enabled Audiobook Publishing

Abstract

At present, generative artificial intelligence has a profound impact on the audiobook publishing industry chain, and exerts unprecedented transformative power in all aspects of audiobook publishing. This paper reviews the specific technical forms of generative artificial intelligence used in the process of audiobook publishing, including text-to-speech, speech recognition, intelligent speech interaction, voiceprint recognition, voice anonymization, etc., and shows the practical picture of how these technologies influence audiobook publishing in different stages of content creation, sound presentation, recording and editing, quality control, terminal playback and readers’ feedback. It analyzes the pattern changes of the audiobook publishing industry brought about by generative artificial intelligence, with "human-machine voice" as the core, and then discusses the challenges and reflections faced by the audiobook publishing industry under the trend of "human-machine competition and cooperation" from the aspects of underlying logic, industry pain points, fundamental principle, reading environment and technical ethics. Therefore, generative artificial intelligence technology is like a double-edged sword, audiobook publishers should fully understand its nature, conform to the trend of technology, and use it to enable new quality productive forces of audiobook publishing industry.