Search Results for author:
Found 12 papers, 8 papers with code
AI TrackMate: Finally, Someone Who Will Give Your Music More Than Just "Sounds Great!"
We demonstrate AI TrackMate's capabilities through an interactive web interface and present findings from a pilot study with a music producer.
A Novel LLM-based Two-stage Summarization Approach for Long Dialogues
Long document summarization poses a significant challenge in natural language processing due to input lengths that exceed the capacity of most state-of-the-art pre-trained language models.
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.
Nonparametric Modern Hopfield Models
We present a nonparametric construction for deep learning compatible modern Hopfield models and utilize this framework to debut an efficient variant.
STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction
We present STanHop-Net (Sparse Tandem Hopfield Network) for multivariate time series prediction with memory-enhanced capabilities.
On Sparse Modern Hopfield Model
Building upon this, we derive the sparse memory retrieval dynamics from the sparse energy function and show its one-step approximation is equivalent to the sparse-structured attention.
Deep Learning Based EDM Subgenre Classification using Mel-Spectrogram and Tempogram Features
Along with the evolution of music technology, a large number of styles, or "subgenres," of Electronic Dance Music(EDM) have emerged in recent years.
Automatic DJ Transitions with Differentiable Audio Effects and Generative Adversarial Networks
A central task of a Disc Jockey (DJ) is to create a mixset of mu-sic with seamless transitions between adjacent tracks.
The Freesound Loop Dataset and Annotation Tool
We present the Freesound Loop Dataset (FSLD), a new large-scale dataset of music loops annotated by experts.
Audio and Speech Processing Sound
Neural Loop Combiner: Neural Network Models for Assessing the Compatibility of Loops
Music producers who use loops may have access to thousands in loop libraries, but finding ones that are compatible is a time-consuming process; we hope to reduce this burden with automation.
GradNet: Gradient-Guided Network for Visual Object Tracking
In this work, we propose a novel gradient-guided network to exploit the discriminative information in gradients and update the template in the siamese network through feed-forward and backward operations.
Ranked #4 on
Visual Object Tracking
on OTB-2015
(Precision metric)
Intelligent Solution System towards Parts Logistics Optimization
Due to the complication of the presented problem, intelligent algorithms show great power to solve the parts logistics optimization problem related to the vehicle routing problem (VRP).
