Apr 17, 2012 · This paper proposes a new discrete speech recognition method which investigates the capability of graphical models based on tree distributions.

This paper proposes a new discrete speech recognition method which investigates the capability of graphical models based on tree distributions that are ...

TL;DR: This paper proposes a new discrete speech recognition method which investigates the capability of graphical models based on tree distributions that ...

The second-order derivatives of mfcc for improving spoken arabic digits recognition using tree distributions approximation model and hmms. N Hammami, M Bedda, F ...

Tree distributions approximation model for robust discrete speech recognition. Nacereddine Hammami; Mouldi Bedda; Nadir Farah. OriginalPaper 17 April 2012 Pages ...

Tree distributions approximation model for robust discrete speech recognition. Article. Dec 2012. Nacereddine Hammami · M. Bedda ...

This paper presents a new approach for machine learning to deal with the problem of classification and/or probability approximation.

This paper proposes a new discrete speech recognition method which investigates the capability of graphical models based on tree distributions that are ...

We perform an in-depth comparison between two leading kernel approximation strategies — random Fourier features [Rahimi and Recht, 2007] and the Nyström method ...

This paper introduces a fast learning method for a graphical probabilistic model for discrete speech recognition based on spoken Arabic digit recognition by ...