30 citations · 149 across the 35 of their papers we have counts for
8 papers · 1 filter
Zero-shot Audio Source Separation through Query-based Learning from Weakly-labeled Data
Ke Chen, Xingjian Du, Bilei Zhu +3
Deep learning techniques for separating audio into different sound sources face several challenges. Standard architectures require training separate models for different types of a…
Towards Cross-Cultural Analysis using Music Information Dynamics
Shlomo Dubnov, Kevin Huang, Cheng-i Wang
A music piece is both comprehended hierarchically, from sonic events to melodies, and sequentially, in the form of repetition and variation. Music from different cultures establish…
Restoring Eye Contact to the Virtual Classroom with Machine Learning
Ross Greer, Shlomo Dubnov
Nonverbal communication, in particular eye contact, is a critical element of the music classroom, shown to keep students on task, coordinate musical flow, and communicate improvisa…
Comparison and Analysis of Deep Audio Embeddings for Music Emotion Recognition
Eunjeong Koh, Shlomo Dubnov
Emotion is a complicated notion present in music that is hard to capture even with fine-tuned feature engineering. In this paper, we investigate the utility of state-of-the-art pre…
WaveGuard: Understanding and Mitigating Audio Adversarial Examples
Shehzeen Hussain, Paarth Neekhara, Shlomo Dubnov +2
There has been a recent surge in adversarial attacks on deep learning based automatic speech recognition (ASR) systems. These attacks pose new challenges to deep learning security…
Cross-modal Adversarial Reprogramming
Paarth Neekhara, Shehzeen Hussain, Jinglong Du +3
With the abundance of large-scale deep learning models, it has become possible to repurpose pre-trained networks for new tasks. Recent works on adversarial reprogramming have shown…
Deep Music Information Dynamics
Shlomo Dubnov
Music comprises of a set of complex simultaneous events organized in time. In this paper we introduce a novel framework that we call Deep Musical Information Dynamics, which combin…
Expressive Neural Voice Cloning
Paarth Neekhara, Shehzeen Hussain, Shlomo Dubnov +2
Voice cloning is the task of learning to synthesize the voice of an unseen speaker from a few samples. While current voice cloning methods achieve promising results in Text-to-Spee…