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Found 12 papers, 8 papers with code
Foundation Models for Music: A Survey
In recent years, foundation models (FMs) such as large language models (LLMs) and latent diffusion models (LDMs) have profoundly impacted diverse sectors, including music.
Audio Prompt Adapter: Unleashing Music Editing Abilities for Text-to-Music with Lightweight Finetuning
Text-to-music models allow users to generate nearly realistic musical audio with textual commands.
Listener Model for the PhotoBook Referential Game with CLIPScores as Implicit Reference Chain
PhotoBook is a collaborative dialogue game where two players receive private, partially-overlapping sets of images and resolve which images they have in common.
Tensor decomposition for minimization of E2E SLU model toward on-device processing
We reduce the model size by applying tensor decomposition to the Conformer and E-Branchformer architectures used in our E2E SLU models.
A Study on the Integration of Pipeline and E2E SLU systems for Spoken Semantic Parsing toward STOP Quality Challenge
Recently there have been efforts to introduce new benchmark tasks for spoken language understanding (SLU), like semantic parsing.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
The Pipeline System of ASR and NLU with MLM-based Data Augmentation toward STOP Low-resource Challenge
In the track, we adopt a pipeline approach of ASR and NLU.
Compose & Embellish: Well-Structured Piano Performance Generation via A Two-Stage Approach
Even with strong sequence models like Transformers, generating expressive piano performances with long-range musical structures remains challenging.
Theme Transformer: Symbolic Music Generation with Theme-Conditioned Transformer
To condition the generation process of such a model with a user-specified sequence, a popular approach is to take that conditioning sequence as a priming sequence and ask a Transformer decoder to generate a continuation.
Music Generation
Representation Learning
Sound
Multimedia
Audio and Speech Processing
Relative Positional Encoding for Transformers with Linear Complexity
Recent advances in Transformer models allow for unprecedented sequence lengths, due to linear space and time complexity.
MuseMorphose: Full-Song and Fine-Grained Piano Music Style Transfer with One Transformer VAE
Transformers and variational autoencoders (VAE) have been extensively employed for symbolic (e. g., MIDI) domain music generation.
Deep Learning for Automatic Quality Grading of Mangoes: Methods and Insights
The quality grading of mangoes is a crucial task for mango growers as it vastly affects their profit.
The Jazz Transformer on the Front Line: Exploring the Shortcomings of AI-composed Music through Quantitative Measures
This paper presents the Jazz Transformer, a generative model that utilizes a neural sequence model called the Transformer-XL for modeling lead sheets of Jazz music.
