On the Estimation of Fundamental Frequency From Nonstationary Noisy Speech Signals Based on the Hilbert-Huang Transform.
Leonardo ZãoRosângela CoelhoPublished in: IEEE Signal Process. Lett. (2018)
Keyphrases
- non stationary
- speech signal
- fundamental frequency
- empirical mode decomposition
- noisy environments
- hilbert huang transform
- automatic speech recognition
- intrinsic mode functions
- signal analysis
- additive noise
- autoregressive
- spectral analysis
- adaptive filtering
- blind source separation
- automatic speech recognition systems
- gaussian markov random fields
- estimation algorithm
- random fields
- hidden markov models
- feature extraction
- image processing
- neural network