Sébastien Denjean — accepted AI-conference papers

2020

Neutral to Lombard Speech Conversion with Deep Learning

Enguerrand Gentet, Bertrand David, Sébastien Denjean, Gaël Richard, Vincent Roussarie

ICASSP 2020accepted

In this paper, we propose several approaches for neutral to Lombard speech conversion. We study in particular the influence of different recurrent neural network architectures where their main hyper-parameters are carefully selected using a bandit-based approach. We also apply the Continuous Wavelet…

Cited by 2 Source ↗Scholar ↗

2020

Speech Intelligibility Enhancement by Equalization for in-Car Applications

Enguerrand Gentet, Bertrand David, Sébastien Denjean, Gaël Richard, Vincent Roussarie

ICASSP 2020accepted

In this paper, we propose a speech intelligibility enhancement method for typical in-car applications in noisy environments. While traditional speech enhancement algorithms aim at increasing the Signal to Noise Ratio (SNR), the goal here is to increase intelligibility by applying dedicated voice tra…

Cited by 0 Source ↗Scholar ↗