2005
DOI: 10.1007/11578079_18
|View full text |Cite
|
Sign up to set email alerts
|

Speech Recognition Using Energy Parameters to Classify Syllables in the Spanish Language

Abstract: Abstract. This paper presents an approach for the automatic speech recognition using syllabic units. Its segmentation is based on using the ShortTerm Total Energy Function (STTEF) and the Energy Function of the High Frequency (ERO parameter) higher than 3,5 KHz of the speech signal. Training for the classification of the syllables is based on ten related Spanish language rules for syllable splitting. Recognition is based on a Continuous Density Hidden Markov Models and the bigram model language. The approach w… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Year Published

2019
2019
2019
2019

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
references
References 5 publications
0
0
0
Order By: Relevance