Search Results for author: Fatemeh Pishdadian

Found 2 papers, 1 papers with code

Weakly Supervised Source-Specific Sound Level Estimation in Noisy Soundscapes

1 code implementation6 May 2021 Aurora Cramer, Mark Cartwright, Fatemeh Pishdadian, Juan Pablo Bello

While the estimation of what sound sources are, when they occur, and from where they originate has been well-studied, the estimation of how loud these sound sources are has been often overlooked.

Finding Strength in Weakness: Learning to Separate Sounds with Weak Supervision

no code implementations6 Nov 2019 Fatemeh Pishdadian, Gordon Wichern, Jonathan Le Roux

In this scenario, weak labels are defined in contrast with strong time-frequency (TF) labels such as those obtained from isolated sources, and refer either to frame-level weak labels where one only has access to the time periods when different sources are active in an audio mixture, or to clip-level weak labels that only indicate the presence or absence of sounds in an entire audio clip.

Audio Source Separation

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