PhD Thesis
[pdf] Fatemeh Pishdadian, “Auditory-inspired Approaches to Audio Representation and Analysis for Machine Hearing,” Northwestern University, 2020
MS Thesis
[pdf] Fatemeh Pishdadian, “An Instance-based Classification Approach to Automatic Transcription of Monophonic Melodies,” George Mason University, 2014
Refereed Journal Articles
[pdf] Fatemeh Pishdadian, Gordon Wichern, Jonathan Le Roux. “Finding strength in weakness: Learning to separate sounds with weak supervision ,” IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2020
[pdf] Fatemeh Pishdadian and Bryan Pardo. “Multi-resolution Common Fate Transform,” IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2018
Refereed Conference Papers
[pdf] Fatemeh Pishdadian, Gordon Wichern, Jonathan Le Roux. “Learning to Separate Sounds from Weakly Labeled Scenes,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020
[pdf] Fatemeh Pishdadian, Bongjun Kim, Prem Seetharaman, Bryan Pardo. “Classifying non-speech vocals: Deep vs signal processing representations,” Detection and Classification of Acoustic Scenes and Events Workshop (DCASE), 2019
[pdf] Ethan Manilow*, Prem Seetharaman*, Fatemeh Pishdadian*, Bryan Pardo. “Predicting algorithm efficacy for adaptive multi-cue source separation,” IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2017
(* these authors contributed equally to this paper)
[pdf] Prem Seetharaman, Fatemeh Pishdadian, Bryan Pardo. “Music/voice separation using the 2D Fourier transform,” IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2017
[pdf] Fatemeh Pishdadian, Bryan Pado, Antoine Liutkus. “A multi-resolution approach to common fate-based audio separation,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017
Fatemeh Pishdadian and Jill K Nelson. “On the transcription of monophonic melodies in an instance-based pitch classification scenario,” IEEE Digital Signal Processing and Signal Processing Education Workshop (DSP/SPE), 2013