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Félix de Chaumont Quitry

2 accepted papers

2023

Disentangling Speech from Surroundings with Neural Embeddings

ICASSP 2023accepted

We present a method to separate speech signals from noisy environments in the embedding space of a neural audio codec. We introduce a new training procedure that allows our model to produce structured encodings of audio waveforms given by embedding vectors, where one part of the embedding vector rep…

Cited by 19SourceScholar
2021

LEAF: A Learnable Frontend for Audio Classification

ICLR 2021poster

Mel-filterbanks are fixed, engineered audio features which emulate human perception and have been used through the history of audio understanding up to today. However, their undeniable qualities are counterbalanced by the fundamental limitations of handmade representations. In this work we show that…