When editing a video a piece of attractive background music is indispensable. However
video background music generation tasks face several challenges for example the lack of …

Editing signals using large pre-trained models, in a zero-shot manner, has recently seen
rapid advancements in the image domain. However, this wave has yet to reach the audio …

The seamless integration of music with dance movements is essential for communicating the
artistic intent of a dance piece. This alignment also significantly improves the immersive …

Text-to-music models allow users to generate nearly realistic musical audio with textual
commands. However, editing music audios remains challenging due to the conflicting …

In recent years, text-to-music models have been the biggest breakthrough in automatic
music generation. While they are unquestionably a showcase of technological progress, it is …

Audio editing involves the arbitrary manipulation of audio content through precise control.
Although text-guided diffusion models have made significant advancements in text-to-audio …

While most music generation models use textual or parametric conditioning (eg tempo,
harmony, musical genre), we propose to condition a language model based music …

Text-guided diffusion models make a paradigm shift in audio generation, facilitating the
adaptability of source audio to conform to specific textual prompts. Recent works introduce …

Synthesizing binaural audio according to personalized requirements is crucial for building
immersive artificial spaces. Previous methods employ the visual modality to guide audio …

Personalized content filtering, such as recommender systems, has become a critical
infrastructure to alleviate information overload. However, these systems merely filter existing …