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Multi-resolution Spectral Entropy Based Feature for Robust ASR

Publications associées (51)

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We investigate the invariance of posterior features estimated using MLP trained on auxiliary corpus towards different data condition and different distance measures for matching posterior features in the context of template-based ASR. Through ASR studies o ...

Idiap2009

PicShark: Mitigating Metadata Scarcity Through Large-Scale P2P Collaboration

Karl Aberer, Manfred Hauswirth, Philippe Cudré-Mauroux, Adriana Budura

Abstract With the commoditization of digital devices, personal information and media sharing is becoming a key application on the pervasive Web. In such a context, data annotation rather than data production is the main bottleneck. Metadata scarcity repres ...

2008

ON THE INEQUALITIES IN INFORMATION THEORY

Rethnakaran Pulikkoonattu

Claude Elwood Shannon in 1948, then of the Bell Labs, published one of the ground breaking papers in the history of engineering [1]. This paper (”A Mathematical Theory of Communication”, Bell System Tech. Journal, Vol. 27, July and October 1948, pp. 379 - ...

2007

In this thesis, the framework of multi-stream combination has been explored to improve the noise robustness of automatic speech recognition (ASR) systems. The central idea of multi-stream ASR is to combine information from several sources to improve the pe ...

École Polytechnique Fédérale de Lausanne2006

Multi-stream Processing for Noise Robust Speech Recognition

Hemant Misra

IDIAP2006

EPFL2006

Network Correlated Data Gathering with Explicit Communication: NP-Completeness and Algorithms

Martin Vetterli, Razvan Cristescu

We consider the problem of correlated data gathering by a network with a sink node and a tree based communication structure, where the goal is to minimize the total trans- mission cost of transporting the information collected by the nodes, to the sink nod ...

2006

In recent papers, entropy computed from sub-bands of the spectrum was used as a feature for automatic speech recognition. In the present paper, we further study the sub-band spectral entropy features which can give the flatness/peakiness of the sub-band sp ...

IDIAP2005

Multi-stream based automatic speech recognition (ASR) systems outperform their single stream counterparts, especially in the case of noisy speech. However, the main issues in multi-stream systems are to know a) Which streams to be combined, and b) How to c ...

IDIAP2005

Multi-resolution Spectral Entropy Based Feature for Robust ASR

Hervé Bourlard, Hemant Misra, Shajith Ikbal

Recently, entropy measures at different stages of recognition have been used in automatic speech recognition (ASR) task. In a recent paper, we proposed that formant positions of a spectrum can be captured by multi-resolution spectral entropy feature. In th ...

IDIAP2004