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A Multi Level Data Fusion Approach for Speaker Identification on Telephone Speech
Several speaker identification systems are giving good performance with clean speech but are affected by the degradations introduced by noisy audio conditions.
On the Use of Different Feature Extraction Methods for Linear and Non Linear kernels
The speech feature extraction has been a key focus in robust speech recognition research; it significantly affects the recognition performance.
Improved Frame Level Features and SVM Supervectors Approach for the Recogniton of Emotional States from Speech: Application to categorical and dimensional states
The purpose of speech emotion recognition system is to classify speakers utterances into different emotional states such as disgust, boredom, sadness, neutral and happiness.
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