43 citations · 104 across the 10 of their papers we have counts for
11 papers
Symbolic Music Generation with Non-Differentiable Rule Guided Diffusion
Yujia Huang, Adishree Ghatare, Yuanzhe Liu +6
We study the problem of symbolic music generation (e.g., generating piano rolls), with a technical focus on non-differentiable rule guidance. Musical rules are often expressed in s…
SynthScribe: Deep Multimodal Tools for Synthesizer Sound Retrieval and Exploration
Stephen Brade, Bryan Wang, Mauricio Sousa +3
Synthesizers are powerful tools that allow musicians to create dynamic and original sounds. Existing commercial interfaces for synthesizers typically require musicians to interact…
Promptify: Text-to-Image Generation through Interactive Prompt Exploration with Large Language Models
Stephen Brade, Bryan Wang, Mauricio Sousa +2
Text-to-image generative models have demonstrated remarkable capabilities in generating high-quality images based on textual prompts. However, crafting prompts that accurately capt…
Musical Speech: A Transformer-based Composition Tool
Jason d'Eon, Sri Harsha Dumpala, Chandramouli Shama Sastry +2
In this paper, we propose a new compositional tool that will generate a musical outline of speech recorded/provided by the user for use as a musical building block in their composi…
Significance of Speaker Embeddings and Temporal Context for Depression Detection
Sri Harsha Dumpala, Sebastian Rodriguez, Sheri Rempel +2
Depression detection from speech has attracted a lot of attention in recent years. However, the significance of speaker-specific information in depression detection has not yet bee…
Detecting Out-of-Distribution Examples with In-distribution Examples and Gram Matrices
Chandramouli Shama Sastry, Sageev Oore
When presented with Out-of-Distribution (OOD) examples, deep neural networks yield confident, incorrect predictions. Detecting OOD examples is challenging, and the potential risks…