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Unsupervised Spectral Subtraction for Noise-Robust ASR on Unknown Transmission Channels

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Objective evaluation of static beamforming on the quality of speech in noise

Hervé Lissek, Gilles André Courtois, Vincent Pierre Olivier Grimaldi

Beamforming is commonly used in devices such as in hearing instruments (HI) with a view to reducing noise. It consists in focusing on audio signals arising from a prescribed steering direction while suppressing those coming from other directions. The effic ...

European Acoustics Association2018

The Poisson likelihood with rectified linear function as non-linearity is a physically plausible model to discribe the stochastic arrival process of photons or other particles at a detector. At low emission rates the discrete nature of this process leads t ...

2015

Rank-order equalization

Mohammad Amin Shokrollahi, Harm Cronie, Klaas Lammert Hofstra

For digital data transmitted using a vector signaling encoding, a rank-order equalizer cancels various channel noise such as inter-symbol interference. Further, rank-order units may be cascaded to achieve improved equalization over successive sample vector ...

2014

Signal fluctuations in fMRI data acquired with 2D-EPI and 3D-EPI at 7 Tesla

Wietske Van der Zwaag, José Pedro Rebelo Ferreira Marques, João Pedro Forjaco Jorge, Patricia Figueiredo

Segmented three-dimensional echo planar imaging (3D-EPI) provides higher image signal-to-noise ratio (SNR) than standard single-shot two-dimensional echo planar imaging (2D-EPI), but is more sensitive to physiological noise. The aim of this study was to co ...

Elsevier Science Inc2012

Cepstral normalisation in automatic speech recognition is investigated in the context of robustness to additive noise. It is argued that such normalisation leads naturally to a speech feature based on signal to noise ratio rather than absolute energy (or p ...

Idiap2011

Cepstral normalisation in automatic speech recognition is investigated in the context of robustness to additive noise. In this paper, it is argued that such normalisation leads naturally to a speech feature based on signal to noise ratio rather than absolu ...

2011

Cochlear implant-like spectrally reduced speech (SRS) has previously been shown to afford robustness to additive noise. In this paper, it is evaluated in the context of microphone array based automatic speech recognition (ASR). It is compared to and combin ...

Idiap2011

Approximate Capacity of a Class of Gaussian Interference-Relay Networks

Christina Fragouli, Suhas Diggavi

In this paper, we study a Gaussian relay-interference network, in which relay (helper) nodes are to facilitate competing information flows between different source-destination pairs. We focus on two-stage relay-interference networks where there are weak cr ...

Institute of Electrical and Electronics Engineers2011

Visual processing-inspired Fern-Audio features for Noise-Robust Speaker Verification

Sébastien Marcel, Anindya Roy

In this paper, we consider the problem of speaker verification as a two-class object detection problem in computer vision, where the object instances are 1-D short-time spectral vectors obtained from the speech signal. More precisely, we investigate the ge ...

2010

Strategies for Delay-Limited Source-Channel Coding

Marius Kleiner

In point-to-point source-channel communication with a fidelity criterion and a transmission cost constraint, the region of achievable cost and fidelity pairs is completely characterized by Shannon's separation theorem. However, this is in general only true ...

EPFL2010