Speech Emotion Verification Using Emotion Variance And Discriminate Scale Frequency Maps
Journal Title: International Journal of Science Engineering and Advance Technology - Year 2017, Vol 5, Issue 2
Abstract
The problems of emotion variances and emotion blending are solved using the emotion verification system. In this methodology consists of two parts. The first part, feature extraction is used to lessen the huge input data into smaller data. The second part, emotion verification can automatically verify and authenticate users from their voice or speech. For each sound frames, vital atoms from the Gabor dictionary are selected by the using of vector quantization. Each atom within the dictionary takes the form of a Gabor function which includes frequency, scale etc.Sparse representation is used to convert scale-frequency maps into sparse coefficients to enhance the robustness towards emotion variance.After the feature extraction, a fusion mechanism is applied the subsequent two strategies. The first is the sparse representation verification based on Gaussian modeled residual errors which can be accommodate emotion variance within the voices of speakers. Such a classifier can be reduce emotion variance and improve recognition accuracy. The second, is to involves the use of an indicator, the EAI, for the measuring the degree of blended emotions. The two scores have been calculated they are fused with each other. It also verifies the performance as well as feasibility.
Authors and Affiliations
P. Sunitha| Department-ECE, Pragati Engineering College, Surampalem (AP), India, E. Lakshmi Shravya| Department-ECE, Pragati Engineering College, Surampalem (AP) India. eadharashravya3@gmail.com
Keywords
Related Articles
- EP ID EP16883
- DOI -
- Views 308
- Downloads 5
Wireless Protocols for Anti Cloning and Security
RFID system (Radio-Frequency Identification) is a technology for automated identification of objects and people. Human beings are smart enough to identify an object under a variety of challenge circumstances. RFID sys...
We propose a novel locality sensitive low-rank model for picture label finishing, which approximates the worldwide nonlinear model with a gathering of neighbourhood direct models. To viably imbue the possibility of t...
A Performance Analysis of Face Recognition Based on Artificial Neural Network
Face recognition is bearing in mind and recognizing a face of individual, like a visual pattern recognition that enables the system to verify or identify individual faces that is taken from imaging system. In this pa...
A Novel Approach For Using Multi-Keyword Ranked Search Scheme Over Encrypted in Secure And Dynamic Cloud Data
cloud computing have revamped the view of modern information technology which is motivating the data owners to outsource their data to the public cloud server like Amazon, Microsoft Azure, Google Drive, etc. With the...
A Study To Support First-N Queries And Incremental Updates To Answer Multi Keyword Queries
Most search engines and online search forms maintain auto completion which demonstrates suggested queries or even answers on the fly as a user types in a keyword query character by character. As many search systems a...