ASERNet: Automatic speech emotion recognition system using MFCC-based LPC approach with deep learning CNN.
Kalyanapu JagadeeshwarT. SreenivasaraoPadmaja PulicherlaK. N. V. SatyanarayanaK. Mohana LakshmiPala Mahesh KumarPublished in: Int. J. Model. Simul. Sci. Comput. (2023)
Keyphrases
- deep learning
- speech recognition
- speech signal
- linear predictive
- cepstral coefficients
- automatic speech recognition
- speaker identification
- unsupervised feature learning
- emotion recognition
- unsupervised learning
- machine learning
- linear predictive coding
- weakly supervised
- hidden markov models
- pattern recognition
- mental models
- speaker recognition
- language model
- noisy environments
- mel frequency cepstral coefficients
- deep architectures
- feature set
- semi supervised
- acoustic features
- data mining
- gaussian mixture model
- broadcast news