Title :
Optimized segmentation method of the vocal signal with predictive neural network
Author :
Zbancioc, Marius Dan ; Feraru, Silvia Monica
Author_Institution :
Inst. of Comput. Sci., Tech. Univ. Gheorghe Asachi of Iasi, Iaşi, Romania
Abstract :
This paper presents an efficient segmentation method which uses simple neural network architecture. The goal was to implement an automatic annotation instrument of the vocal signal, capable to make the separation between vowel and consonant signal, respectively pauses between utterances. This instrument is used in the features extraction from the vowels areas by an emotion recognition application for the Romanian language.
Keywords :
feature extraction; natural language processing; neural nets; speech processing; Romanian language; automatic annotation instrument; consonant signal; emotion recognition application; features extraction; optimized segmentation method; predictive neural network; vocal signal; Artificial neural networks; Biological neural networks; Hidden Markov models; Neurons; Prediction algorithms; Speech; Training; automatic annotation tool; consonant / vowel segmentation;
Conference_Titel :
Electronics, Computers and Artificial Intelligence (ECAI), 2014 6th International Conference on
Print_ISBN :
978-1-4799-5478-0
DOI :
10.1109/ECAI.2014.7090141
