Fatemeh Pishdadian

According to our database, Fatemeh Pishdadian authored at least 8 papers between 2017 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Weakly Supervised Source-Specific Sound Level Estimation in Noisy Soundscapes.

Aurora Cramer, Mark Cartwright, Fatemeh Pishdadian, Juan Pablo Bello

Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2021

2020

Finding Strength in Weakness: Learning to Separate Sounds With Weak Supervision.

Fatemeh Pishdadian, Gordon Wichern, Jonathan Le Roux

IEEE ACM Trans. Audio Speech Lang. Process., 2020

Learning to Separate Sounds from Weakly Labeled Scenes.

Fatemeh Pishdadian, Gordon Wichern, Jonathan Le Roux

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Multi-Resolution Common Fate Transform.

Fatemeh Pishdadian, Bryan Pardo

IEEE ACM Trans. Audio Speech Lang. Process., 2019

Classifying Non-speech Vocals: Deep vs Signal Processing Representations.

Fatemeh Pishdadian, Prem Seetharaman, Bongjun Kim, Bryan Pardo

Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events 2019 (DCASE 2019), 2019

2017

Music/Voice separation using the 2D fourier transform.

Prem Seetharaman, Fatemeh Pishdadian, Bryan Pardo

Proceedings of the 2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2017

Predicting algorithm efficacy for adaptive multi-cue source separation.

Ethan Manilow, Prem Seetharaman, Fatemeh Pishdadian, Bryan Pardo

Proceedings of the 2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2017

A Multi-resolution approach to Common Fate-based audio separation.

Fatemeh Pishdadian, Bryan Pardo, Antoine Liutkus

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017