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This paper describes a machine learning algorithm for Gujarati Part of Speech Tagging. The machine learning part is performed using a CRF model. The features given to CRF are properly chosen keeping the linguistic aspect of Gujarati in mind.

Added on November 11, 2010

94

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  • Product Type : Research Paper
  • License Type : Freeware
  • System Requirement : Not Applicable
  • Author : Chirag Patel, Karthik Gali

One sample speech file in Male voice and one sample speech file in Female voice for Punjabi language.

Added on November 11, 2010

78

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  • Product Type : Linguistic Resources
  • License Type : Research
  • System Requirement : Not Applicable

  Reviews 
By : harkawal October 10, 2016
GOOD
In this paper we discuss the significance of representation of images for face verification.We consider three different representations, namely, edge gradient, edge orientation and potential field derived from the edge gradient. These representations are examined in the context of face verification using a specific type of correlation filter, called the minimum average correlation energy (MACE) filter.

Added on November 11, 2010

6

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  • Product Type : Research Paper
  • License Type : Freeware
  • System Requirement : Not Applicable
  • Author : Anil Kumar Sao, B. Yegnanarayana
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One sample speech file in Male voice and one sample speech file in Female voice for Marathi language.

Added on November 11, 2010

104

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  • Product Type : Linguistic Resources
  • License Type : Research
  • System Requirement : Not Applicable

In this letter, we address the issue of determining the number of speakers from multispeaker speech signals collected simultaneously using a pair of spatially separated microphones. The spatial separation of the microphones results in time delay of arrival of speech signals from a given speaker.

Added on November 11, 2010

9

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  • Product Type : Research Paper
  • License Type : Freeware
  • System Requirement : Not Applicable
  • Author : R. Kumara Swamy, K. Sri Rama Murty, B. Yegnanarayana
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