Share Your Research, Maximize Your Social Impacts
SPEECH RECOGNITION USING THE EMPIRICAL MODE DECOMPOSITION METHOD
Journal: International Journal of Advanced Research (Vol.6, No. 5)Publication Date: 2018-05-01
Authors : M. S. Medvedev.;
Page : 703-709
Keywords : Speech recognition; Hilbert-Huang transform; wavelet analysis; empirical mode decomposition.;
Source : Download
Find it from : Google Scholar
- IMPACTED KNIFE INJURY MAXILLOFACIAL REGION ? A DIFFICUILT SCENARIO
- Right thoracoabdominal stab injury penetrating with injury of the internal thoracic artery: case report and lessons in penetrating knife wounds to the chest and abdomen
- A case of pericardial tamponade caused by abdominal knife stab injury
- Hydrological characteristics and flood plain vegetation of human impacted wetlands: A case study from Okhla Bird Sanctuary, National Capital Region, India
- CURRENT SCENARIO OF HIV-INFECTION EPIDEMIC IN SUMY REGION
Abstract
In this paper the using of empirical mode decomposition for creation of the Russian phoneme models in a system of speech-to-text conversion is considered. The proposed method is compared with the Fourier transform and wavelet transform. The experimental evaluation has shown that this method has advantages in the task of speech features formation (within neural network approach).
Other Latest Articles
- PERSONNEL PERFORMENCE AND ORGANIZATIONAL COMMITMENT IN UNIVERSITY HOSPITALS FROM NORTHEASTERN MEXICO: A STRUCTURAL EQUATION MODELING
- IMPACTED KNIFE INJURY MAXILLOFACIAL REGION ? A DIFFICUILT SCENARIO
- IMPROVED UNILATERAL MIDDLE TURBINATE MUCOSAL FLAP TECHNIQUE FOR THE REPAIR OF NASAL SEPTAL PERFORATION: A SANDWICH RECONSTRUCTİON BY A COMBINED USE OF UNILATERAL MIDDLE TURBINATE FLAP AND FREE İNFERIOR TURBINATE GRAFT
- INVESTIGATION OF CONVOLUTIONAL NEURAL NETWORKS FOR VISUAL TRACKING OF PEDESTRIANS
- THE HEALTH WOMEN?S AND ENVIRONMENTAL SANITATION
Last modified: 2018-06-22 19:21:09