novel voiceprint using ensembled Mel-Chromagram for speaker recognition

Combining voiceprint and face biometrics for speaker identification using SDWS

The biometric system that uses multiple biometric traits promises higher identification accuracy than identification in either individual domain. To reach this goal, special attention should be paid to the strategies for combining voiceprint and face experts. We propose an improved weighted sum rule based on the scores difference (SDWS) between the genuine speaker class and the mistaken speaker...

Mel Frequency Cepstral Coefficients for Speaker Recognition Using Gaussian Mixture Model-Artificial Neural Network Model

Speaker Recognition (SP) is a topic of great significance in areas of intelligent and security. In Biometric SP using automated method of verifying or recognizing the identity of the person on the basis of some application, such as a finger print or face pattern and human voice. Many method have been proposed in the literature are focusing on front end processing such as PLP and LPC. In this pa...

Artificial Neural Network & Mel-Frequency Cepstrum Coefficients-Based Speaker Recognition

Speaker recognition is the process of automatically recognizing who is speaking on the basis of individual information included in speech waves. This technique makes it possible to use the speaker’s voice to verify their identity and control access to services such as voice dialing, banking by telephone, telephone shopping, database access services, information services, voice mail, security co...

Speaker Independent Speech Recognition Using Hidden Markov Models for Persian Isolated Words

Speaker Independent Speech Recognition Using Hidden Markov Models for Persian Isolated Words