arXiv:2505.18614v5 Announce Type: replace Abstract: Lyrics translation requires both accurate semantic transfer and preservation of musical rhythm, syllabic structure, and poetic style. In animated musicals, the challenge intensifies due to alignment with visual and auditory cues. We introduce Multilingual Audio-Video Lyrics Benchmark for Animated Song Translation (MAVL), the first multilingual, multimodal benchmark for singable lyrics translation. By integrating text, audio, and video, MAVL enables richer and more expressive translations than text-only approaches. Building on this, we propose
The proliferation of language models and increasing demand for rich, multimodal data sets are enabling more complex AI applications like animated song translation.
This development pushes the boundaries of multimodal AI, offering a glimpse into future applications that seamlessly integrate language, audio, and visual elements, potentially transforming entertainment and communication.
The introduction of MAVL shifts the focus from text-only translation to integrated multimodal approaches, enabling more nuanced and culturally appropriate AI-driven content creation.
- · AI language model developers
- · Entertainment industry
- · Multimodal AI researchers
- · Content creators
- · Traditional translation services
Improved quality and fidelity of translated animated songs and other multimodal content.
Expansion of AI's creative capabilities into complex artistic domains, potentially leading to fully AI-generated multilingual animated content.
Enhanced cross-cultural entertainment consumption, reducing language barriers in media like musicals and animated films globally.
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