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SPEECH
2016

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Sparse modeling of neural network posterior probabilities for exemplar-based speech recognition

8 years 8 months ago

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In this paper, a compressive sensing (CS) perspective to exemplar-based speech processing is proposed. Relying on an analytical relationship between CS formulation and statistical...

Pranay Dighe, Afsaneh Asaei, Hervé Bourlard

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Id	Views	Title	Status

1	94	Sparse modeling of neural network posterior probabilities for exemplar-based speech recognition	claim
2	74	Predicting tonal realizations in one Chinese dialect from another	claim
3	60	Computational methods for underdetermined convolutive speech localization and separation via model-based sparse component analysis	claim

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