Ph.D Candidate in the Interactive Audio Lab at Northwestern University studying machine learning for audio generation

Max Morrison, Rithesh Kumar, Kundan Kumar, Prem Seetharaman, Aaron Courville, and Yoshua Bengio, "Chunked Autoregressive GAN for Conditional Waveform Synthesis," International …

Interpretable Speech Representation and Editing Max Morrison Generative machine learning has begun to revolutionize how we develop media con- tent, including speech content for …

CROWDSOURCED AND AUTOMATIC SPEECH PROMINENCE ESTIMATION Max Morrison, Pranav Pawar, Nathan Pruyne, Jennifer Cole, Bryan Pardo Northwestern University, …

HIGH-FIDELITY NEURAL PHONETIC POSTERIORGRAMS Cameron Churchwell∗, Max Morrison∗, Bryan Pardo Northwestern University, Evanston, IL, USA ABSTRACT A phonetic …

Fine-Grained and Interpretable Neural Speech Editing Max Morrison, Cameron Churchwell, Nathan Pruyne, Bryan Pardo Northwestern University, US [email protected], …

www.maxrmorrison.com

Interspeech, 2020. [20] M. Morrison, “torchcrepe,” maxrmorrison/torchcrepe, 2020. https://github.com/ [21] J. W. Kim, J. Salamon, P. Li, and J. P. Bello, “CREPE: A convolutional …

For an example of this in the field of speech synthesis, see (Kong et al., 2020) and (Morrison et al., 2022). However, MOS tests can be a cost-effective way of comparing many conditions at …

ABSTRACT Early detection and repair of failing components in automobiles re- duces the risk of vehicle failure in life-threatening situations. Many automobile components in need of repair …