30 citations · 149 across the 35 of their papers we have counts for
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cs.SD2019
Query-based Deep Improvisation
Shlomo Dubnov
In this paper we explore techniques for generating new music using a Variational Autoencoder (VAE) neural network that was trained on a corpus of specific style. Instead of randoml…
cs.LG2019
Universal Adversarial Perturbations for Speech Recognition Systems
Paarth Neekhara, Shehzeen Hussain, Prakhar Pandey +3
In this work, we demonstrate the existence of universal adversarial audio perturbations that cause mis-transcription of audio signals by automatic speech recognition (ASR) systems.…
cs.SD2019
Expediting TTS Synthesis with Adversarial Vocoding
Paarth Neekhara, Chris Donahue, Miller Puckette +2
Recent approaches in text-to-speech (TTS) synthesis employ neural network strategies to vocode perceptually-informed spectrogram representations directly into listenable waveforms.…