Lyria_云技派,专注ai人工智能! 129

Lyria is the latest ai music generation model launched by Google DeepMind in collaboration with YouTube, and it is also part of the new features of Google's video sharing platform YouTube, designed to enable users to easily generate their own music works.

Lyria can create high-quality music from text, including instrumental and vocal tracks. Lyria will introduce creative tools to the platform, including Dream Track, a voice cloning tool for YouTube Shorts, as well as music AI tools designed specifically for artists and producers.

Lyria can generate music in a wide range of genres, including jazz, heavy metal, rock, electronic, pop, and more. Thanks to the involvement of professional musicians, Lyria excels in lyrics, melody, rhythm, and vocal simulation, achieving an incredibly realistic effect.

Music contains a vast amount of information — consider every beat, note, and vocal harmony within each second. When generating long sequences of sound, AI models often struggle to maintain musical continuity across phrases, verses, or longer passages. Since music typically features multiple sounds and instruments simultaneously, creating it is far more difficult than generating speech.

The Lyria model, built by Google DeepMind, excels at producing high-quality music with both instrumental and vocal elements, performing transformation and continuation tasks, and giving users more refined control over output style and performance. Lyria can directly convert audio and music into another style — for example, turning a pop song into an orchestral score, or transforming MIDI keyboard chords into the sound of a vocal choir. The design goal of Lyria is to provide users with more nuanced control over the style and expression of the generated output.

The launch of Lyria marks the long-standing experiments by Google researchers in the field of AI music generation. Google states that Lyria has the potential to completely transform the way music is created, helping producers streamline tedious, repetitive workflows while inspiring them to create more rich, rhythmically engaging music.