Sentence examples for string recognition from inspiring English sources

A word-based ASR system for digit string recognition where each HMM word model has 16 emitting states is adopted.

We do a manual touch-up where we clean the data coming out of our string recognition algorithm, then export a table of strings to use in the content application," Woods said.

This paper proposes a novel probabilistic spiking neuron model (pSNM) and suggests ways of building pSNN for a wide range of applications including classification, string pattern recognition and associative memory.

If good phonetic coverage is exhibited by the phonetic decoder (i.e., good phonetic robustness of the trained HMMs), with initial seed phonetic strings the recognition performance of voice-tags is usually acceptable, though not maximized.

It is an essential operation for a wide range of applications in the areas of computational biology, pattern recognition, string editing and data compression, to name a few.

Input to rlgs.pl is a fasta file containing a chromosome DNA sequence and three strings representing the recognition sites of the three enzymes.

The purpose of the paper is to design and test neural network structures and mechanisms for making use of the information that is contained in the character strings for more correct recognition of the characters constituting these strings.

Established in 1989, the St. Lawrence String Quartet earned international recognition within a few years, winning both the Banff Quartet Competition and the Young Concert Artists audition in 1992.

This girl group have matched their stunning physical presence – they have perhaps the longest legs in K-pop – with a string of hits and recognition across Asia and, more recently, the US.

If you closed your eyes during Mr. Groban's concert, you could imagine that the pulsing bass and drums and acoustic string section amplified beyond recognition into a thick aural soup were not all that different from the sound of a power ballad by an '80s hair band.

Alternative statistical modeling approaches exist in literature and applied in different fields of study like text mining, speech recognition, bioinformatics, string matching etc.