Personne

Hemant Misra

Publications associées (29)

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Phase AutoCorrelation (PAC) features for noise robust speech recognition

Hynek Hermansky, Hemant Misra, Shajith Ikbal

In this paper, we introduce a new class of noise robust features derived from an alternative measure of autocorrelation representing the phase variation of speech signal frame over time. These features, referred to as Phase AutoCorrelation (PAC) features i ...

2012

Multi-stream Processing for Noise Robust Speech Recognition

Hemant Misra

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

Multi-stream processing for noise robust speech recognition

Hemant Misra

EPFL2006

Multi-stream ASR: An Oracle Perspective

Hervé Bourlard, Hemant Misra

Multi-stream based automatic speech recognition (ASR) systems outperform their single stream counterparts, specially in case of noisy speech. The main issues in multi-stream systems are: a) Find the feature streams carrying complementary information, and b ...

2006

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

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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 ...

2005

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

Spectral Entropy Feature in Full-Combination Multi-Stream for Robust ASR

Hervé Bourlard, Hemant Misra

In a recent paper, we reported promising automatic speech recognition results obtained by appending spectral entropy features to PLP features. In the present paper, spectral entropy features are used along with PLP features in the framework of multi-stream ...

2005

Spectral Entropy Feature in Full-Combination Multi-stream for Robust ASR

Hervé Bourlard, Hemant Misra

IDIAP2005