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AliceCohen-Hadria

Machine learning and signal processing PhD student

About

I am interested in using deep learning method to estimate any musical description. Particularly, I’ve worked on musical structure estimation and voice processing with Convolutional Neural Network (CNN). My work fits in Music Information Retrieval (MIR) field, from signal processing to any neural network methods. I am currently employed by IRIT (Toulouse Institute of Computer Science Research) for a postdoc on pronunciation errors detection.

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CV

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Papers

Overview

Academic publications

Papers

Voice anonymization in urban sound recordings

In this paper, we propose an anomization method that obfsucate the content and msask the speaker identity, while preserving the acoustic scene.

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Source separation & Data augmentation

In this paper, we present our data augmentation algorithm, tailored for singing voice extraction

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Structure estimation

We investigated different input representation to detect music structure boundaries.

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DALI dataset - First paper

We constructed the largest dataset of audio and lyrics aligned, using singing voice detection with deep learning.

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DALI dataset - Second paper

Second paper on the DALI dataset, presenting 2nd version. An human evaluation of the produced alignment is also presented.

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