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The use of intracranial recordings to decode human language: Challenges and opportunities

Related publications (41)

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Noise in brain activity engenders perception and influences discrimination sensitivity

Fosco Bernasconi, Athina Tzovara

Behavioral and brain responses to identical stimuli can vary with experimental and task parameters, including the context of stimulus presentation or attention. More surprisingly, computational models suggest that noise-related random fluctuations in brain ...

Society for Neuroscience2011

A Neural Network based Regression Approach for Recognizing Simultaneous Speech

Hervé Bourlard, John David Scott Dines, Weifeng Li

This paper presents our approach for automatic speech recognition (ASR) of overlapping speech. Our system consists of two principal components: a speech separation component and a feature estmation component. In the speech separation phase, we first estima ...

IDIAP2008

Fast keyword detection with sparse time-frequency models

Pascal Frossard, Olivier Verscheure, Effrosyni Kokiopoulou

We address the problem of keyword spotting in continuous speech streams when training and testing conditions can be different. We propose a keyword spotting algorithm based on sparse representation of speech signals in a time-frequency feature space. The t ...

2008

Combination of Acoustic Classifiers based on Dempster-Shafer Theory of evidence

Hynek Hermansky, Fabio Valente

In this paper we investigate combination of neural net based classifiers using Dempster-Shafer Theory of Evidence. Under some assumptions, combination rule resembles a product of errors rule observed in human speech perception. Different combination are te ...

2007

Perception Studies on the Attributes of Synthetic Clear Speech for the Hard of Hearing

Chandra Sekhar Seelamantula

We make a case for ‘synthetic clear speech’ in the context of the persons with hearing impairment. We study the acoustic attributes of ‘clear speech’ that enable us to understand their importance in speech perception. Our perception experiments are motivat ...

IEEE2007

Combination of Acoustic Classifiers based on Dempster-Shafer Theory of evidence

Hynek Hermansky, Fabio Valente

IDIAP2006

Robust audio segmentation

Jitendra Ajmera

Audio segmentation, in general, is the task of segmenting a continuous audio stream in terms of acoustically homogenous regions, where the rule of homogeneity depends on the task. This thesis aims at developing and investigating efficient, robust and unsup ...

EPFL2005

Robust Audio Segmentation

Hervé Bourlard, Jitendra Ajmera

IDIAP2004

Robust Audio Segmentation

Hervé Bourlard, Jitendra Ajmera

École Polytechnique Fédérale de Lausanne2004

Some applications of a priori knowledge in multi-stream HMM and HMM/ANN based ASR

Multi-band ASR was largely inspired by the extremely high level of redundancy in the spectral signal representation which can be inferred from Fletcher's product-of-errors rule for human speech perception. Indeed, the main aim of the multi-band approach is ...

2000