Search Results for author: Samuele Cornell

Found 15 papers, 8 papers with code

Conversational Speech Separation: an Evaluation Study for Streaming Applications

no code implementations31 May 2022 Giovanni Morrone, Samuele Cornell, Enrico Zovato, Alessio Brutti, Stefano Squartini

Continuous speech separation (CSS) is a recently proposed framework which aims at separating each speaker from an input mixture signal in a streaming fashion.

Speech Separation

On Using Transformers for Speech-Separation

1 code implementation6 Feb 2022 Cem Subakan, Mirco Ravanelli, Samuele Cornell, Francois Grondin, Mirko Bronzi

In this paper, we extend our previous work by providing results on more datasets including LibriMix, and WHAM!, WHAMR!

Denoising Speech Enhancement +1

Learning Filterbanks for End-to-End Acoustic Beamforming

no code implementations8 Nov 2021 Samuele Cornell, Manuel Pariente, François Grondin, Stefano Squartini

We perform a detailed analysis using the recent Clarity Challenge data and show that by using learnt filterbanks it is possible to surpass oracle-mask based beamforming for short windows.

REAL-M: Towards Speech Separation on Real Mixtures

1 code implementation20 Oct 2021 Cem Subakan, Mirco Ravanelli, Samuele Cornell, François Grondin

First, we release the REAL-M dataset, a crowd-sourced corpus of real-life mixtures.

Speech Separation

The impact of non-target events in synthetic soundscapes for sound event detection

1 code implementation28 Sep 2021 Francesca Ronchini, Romain Serizel, Nicolas Turpault, Samuele Cornell

Detection and Classification Acoustic Scene and Events Challenge 2021 Task 4 uses a heterogeneous dataset that includes both recorded and synthetic soundscapes.

Event Detection Sound Event Detection

Attention is All You Need in Speech Separation

3 code implementations25 Oct 2020 Cem Subakan, Mirco Ravanelli, Samuele Cornell, Mirko Bronzi, Jianyuan Zhong

Transformers are emerging as a natural alternative to standard RNNs, replacing recurrent computations with a multi-head attention mechanism.

Speech Separation

LibriMix: An Open-Source Dataset for Generalizable Speech Separation

4 code implementations22 May 2020 Joris Cosentino, Manuel Pariente, Samuele Cornell, Antoine Deleforge, Emmanuel Vincent

Most deep learning-based speech separation models today are benchmarked on it.

Audio and Speech Processing

Filterbank design for end-to-end speech separation

2 code implementations23 Oct 2019 Manuel Pariente, Samuele Cornell, Antoine Deleforge, Emmanuel Vincent

Also, we validate the use of parameterized filterbanks and show that complex-valued representations and masks are beneficial in all conditions.

Speaker Recognition Speech Separation

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