Speech Processing: MFCC Based Feature Extraction Techniques- An Investigation
D. Prabakaran, S. Sriuppili
Abstract
Abstract In this digital world, there are many applications to secure and legalize their data and all of these emissions by various techniques and there are many algorithms and methods to process their data. Some extensive method used is biometric authentication and voice recognition is better, since it paves the convenient manner to the user and it merely acquires the voice from the user. Also the background noise is in crisis with Mel Frequency Cepstrum Coefficient (MFCC) which is recognition algorithm where overcome by other tools such as smoothening filter etc. The main focus of this project is to investigate the feature extraction scheme.
Topics & Concepts
Mel-frequency cepstrumComputer scienceFeature extractionBiometricsSpeech recognitionCepstrumAuthentication (law)Focus (optics)Noise (video)Filter (signal processing)Filter bankProcess (computing)Feature (linguistics)Pattern recognition (psychology)Artificial intelligenceComputer visionComputer securityLinguisticsOperating systemPhilosophyPhysicsImage (mathematics)OpticsSpeech Recognition and SynthesisSpeech and Audio Processing