Audio-based generative models for music have seen great strides recently, but so far have
not managed to produce full-length music tracks with coherent musical structure from text …

Recent advancements in spoken dialogue models, exemplified by systems like GPT-4o,
have captured significant attention in the speech domain. Compared to traditional three-tier …

In recent years, text-to-speech (TTS) technology has witnessed impressive advancements,
particularly with large-scale training datasets, showcasing human-level speech quality and …

Current emotional text-to-speech (TTS) models predominantly conduct supervised training
to learn the conversion from text and desired emotion to its emotional speech, focusing on a …

Composing coherent and structured music is one of the main challenges in symbolic music
generation. Our research aims to propose a user-centric framework design that promotes a …

We introduce Seed-Music, a suite of music generation systems capable of producing high-
quality music with fine-grained style control. Our unified framework leverages both auto …

Music scores are written representations of music and contain rich information about musical
components. The visual information on music scores includes notes, rests, staff lines, clefs …

The critical inquiry pervading the realm of Philosophy, and perhaps extending its influence
across all Humanities disciplines, revolves around the intricacies of morality and normativity …

Automatically generating video background music mitigates the inefficiency and time-
consuming drawbacks of current manual video editing. Two key challenges hinder the …

Large-scale text-to-speech (TTS) models have made significant progress recently. However,
they still fall short in the generation of Chinese dialectal speech. Toaddress this, we propose …