PROJECT TITLE :

Instantaneous model adaptation method for reverberant speech recognition

ABSTRACT:

An acoustic model adaptation algorithm is proposed for reverberant speech recognition. Inspired by the eigenvoice adaptation framework, multiple acoustic models reflecting varied reverberant environments are combined for instantaneous adaptation. Using artificially generated reverberant speech, multiple acoustic models are trained consistent with multiple reverberation times. The mean vectors of the optimal acoustic model are obtained as a weighted sum of these of multiple acoustic models by employing a most-chance criterion. For effective model combination, reverberant speech is preprocessed. Experiments on English continuous speech recognition tasks during a simulated reverberant surroundings show that the proposed method performs higher than the conventional adaptation techniques.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here


PROJECT TITLE :Enhanced Instantaneous Power Theory for Control of Grid Connected Voltage Sourced Converters under Unbalanced Conditions - 2017ABSTRACT:Undesirable power oscillations occur in grid-connected voltage sourced converters
PROJECT TITLE :Instantaneous Electromechanical Dynamics Monitoring in Smart Transmission GridABSTRACT:Measurement sensors installed in the smart transmission system will acquire huge information for electromechanical dynamics
PROJECT TITLE :Fault-Decoupled Instantaneous Frequency and Phase Angle Estimation for Three-Phase Grid-Connected InvertersABSTRACT:Frequency and phase angle estimation could be a key side for grid-connected inverters that are
PROJECT TITLE :On Estimating Instantaneous Temperature of a Supercapacitor String Using an Observer Based on Experimentally Validated Lumped Thermal ModelABSTRACT:The thermal model of energy storage parts like batteries or supercapacitors
PROJECT TITLE :Two-stage blind audio source counting and separation of stereo instantaneous mixtures using Bayesian tensor factorisationABSTRACT:In this paper, the authors address the tasks of audio supply counting and separation

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry