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In recent years, AI singers have become popular on the Internet. On major music platforms and video websites, we can enjoy "AI Stefanie" covering famous works by famous male singers such as Jay Chou and Wang Leehom, and experience a different vocal experience; also AI technology can be used to restore the voices of late superstars such as Teresa Teng, relive the richness of memories, and make up for the regrets of the past. The application of AI technology in the field of music is both amazing and controversial.
From the perspective of the singing field, the behavior of AI singers covering songs originates from a new practice of music synthesis technology. Since the new century, the use of music synthesis technology to create and cover songs has become very popular at home and abroad. There are virtual singers who cover classic works, and there are also "second creations" where singers cover songs synthesized by software. The two even appeared on the same stage together at the Spring Festival Gala.
Compared with traditional music synthesis technology, AI singers have made great progress in the underlying algorithm. Through the input of a large number of sound sources and relying on deep learning using neural network technology, AI may truly get rid of the simple splicing of timbres and achieve more accurate imitation or even transcendence. However, AI singers face three legal risks. First, whether they have permission to use other people’s sound sources for training and learning. Second, whether singing cover songs infringes copyright. Third, if the technology further develops in the future and autonomously generates music works, whether AI can be used as an independent The creator exists. After more than ten years of exploration, the field of music synthesis has formed a certain awareness of copyright, and has gradually become more standardized in terms of sound source sampling and covers. However, there are also problems such as the difficulty of tracing individual infringements and lax platform review. These experiences and lessons can provide some reference for the legal definition of AI singers.
We must realize that the human voice is a unique identity that each person is born with, and to a certain extent, it forms part of our personality traits. An obvious problem with AI singers is whether we are building a voice or an independent "character", which is more prominent compared to AI painting, AI writing and other fields. Starting from synthetic timbre, anthropomorphic concepts such as the virtual singer's animation image, character setting, and story background have been created, taking the virtual singer as an example. More three-dimensional idols are due to the continuous emergence of secondary creations and the wishes of the fan base. The situation faced by the "AI Stefanie" is more complicated, because most of them are based on real characters that exist or have existed in real life. Once they accumulate enough fans and turn from imitation to "creation", they need to find a person for themselves. Proper positioning. Harmonious symbiosis or mutual substitution involves more than just interest disputes.
In April this year, the Cyberspace Administration of China issued the "Regulations on the Management of Generative Artificial Intelligence (Draft for Comments)", which requires such works and their pre-training and optimized training data to respect intellectual property rights and business ethics, and respect the portraits of others. rights, reputation, personal privacy and other legitimate interests. In compliance with the spirit of the Measures, major audio and video platforms and social media have invested in establishing AI work annotation and user feedback mechanisms, and further detailed regulations still need to be explored. Maintain a reasonable scope in the use of artificial intelligence generation technology and promote the healthy development of the music market with long-term motivation. At the same time, order and ethical values must precede the use of technology.
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