MFCC-GMM based accent recognition system for Telugu speech signals.
Kasiprasad MannepalliPanyam Narahari SastryMaloji SumanPublished in: Int. J. Speech Technol. (2016)
Keyphrases
- speech signal
- speech recognition
- speaker identification
- automatic speech recognition systems
- mel frequency cepstral coefficients
- automatic speech recognition
- speaker recognition
- noisy speech
- language identification
- indian languages
- gaussian mixture model
- hidden markov models
- linear prediction
- language model
- pattern recognition
- background noise
- spectral analysis
- vocal tract
- document images
- linear predictive
- noisy environments
- probabilistic neural network
- speech enhancement
- acoustic features
- speech synthesis
- blind source separation
- spectral subtraction
- cepstral coefficients
- computer vision
- sound source
- non stationary
- neural network
- mixture model
- sound signals
- word recognition
- image segmentation
- feature extraction
- multiscale
- noisy images
- audio signal