Frequency-related features derived from phase spectrum for robust speech recognition [ 2002-01-01 - 2005-12-31 ]

Research Grant

Researchers: Prof Kuldip Paliwal (Chief Investigator)

Brief description Frequency-related features derived from phase spectrum for robust speech recognition. Though the currently available speech recognizers work reasonably well in noise-free environments, their performance deteriorates drastically even in the presence of a small amount of noise. In order to overcome this problem, new frequency-related features are proposed in this project for speech recognition. These features are derived from the phase spectrum of the speech signal, and are expected to be robust to the additive noise distortion. These features will make the speech recognizer less sensitive to noise and will enhance its utility in a number of applications in the telecommunication and business world.

Funding Amount $177,000

Funding Scheme Discovery Projects

View this grant in the ARC Data Portal