A word pattern recognition system improves text input entered via a shorthand-on-keyboard
interface. A core lexicon comprises commonly used words in a language; an extended …

This thesis describes MultiSphinx, a concurrent architecture for scalable, low-latency
automatic speech recognition. We first consider the problem of constructing a universal" …

A method is presented for performing speech recognition that is not dependent on a fixed
word vocabulary. Particles are used as the recognition units in a speech recognition system …

(57) ABSTRACT A word pattern recognition system improves text input entered via a
shorthand-on-keyboard interface. A core lexi con comprises commonly used words in a …

In the present work we study the applicability of Support Vector Machines (SVMs) on the
phoneme recognition task. Specifically, the Least Squares version of the algorithm (LS-SVM) …

We present an algorithm for spotting fricative consonants in continuous speech. Fricative
spotting can be useful in professional audio applications, where excessive accentuation of …

Microbial clades modeling is a challenging problem in biology based on microarray genome
sequences, especially in new species gene isolates discovery and category. Marker family …

(Continued) Related US Application Data (60) Continuation of application No. 13/866,994,
filed on Primary Examiner—Jesse Pullias Apr. 19, 2013, now Pat. No. 8,712,755, which is a …

Speech is one of the most complex signals and the powerful tool for communication. It has
been a long desire of the scientists that the machine should recognize the speech of the …

Abstract Support Vector Machines (SVMs) have become a popular classification tool.
Because of their theoretical robustness they offer improvements in pattern classification …