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Found 9 papers, 2 papers with code
Music Era Recognition Using Supervised Contrastive Learning and Artist Information
For the case where the artist information is available, we extend the audio-based model to take multimodal inputs and develop a framework, called MultiModal Contrastive (MMC) learning, to enhance the training.
A Long-Tail Friendly Representation Framework for Artist and Music Similarity
The investigation of the similarity between artists and music is crucial in music retrieval and recommendation, and addressing the challenge of the long-tail phenomenon is increasingly important.
InstructME: An Instruction Guided Music Edit And Remix Framework with Latent Diffusion Models
We tested InstructME in instrument-editing, remixing, and multi-round editing.
ALCAP: Alignment-Augmented Music Captioner
Music captioning has gained significant attention in the wake of the rising prominence of streaming media platforms.
Supervised Metric Learning for Music Structure Features
Music structure analysis (MSA) methods traditionally search for musically meaningful patterns in audio: homogeneity, repetition, novelty, and segment-length regularity.
Supervised Chorus Detection for Popular Music Using Convolutional Neural Network and Multi-task Learning
This paper presents a novel supervised approach to detecting the chorus segments in popular music.
Modeling the Compatibility of Stem Tracks to Generate Music Mashups
A music mashup combines audio elements from two or more songs to create a new work.
High-resolution Piano Transcription with Pedals by Regressing Onset and Offset Times
In addition, previous AMT systems are sensitive to the misaligned onset and offset labels of audio recordings.
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Audio and Speech Processing
Noise Robust TTS for Low Resource Speakers using Pre-trained Model and Speech Enhancement
Firstly, the speech synthesis model is pre-trained with both multi-speaker clean data and noisy augmented data; then the pre-trained model is adapted on noisy low-resource new speaker data; finally, by setting the clean speech condition, the model can synthesize the new speaker's clean voice.
