Fundamental Frequency Tracking In Noisy Environments Using Deep Learning.
Eric E. HamkeAmir Raeisi NafchiManel Martínez-RamónBalasubramaniam SanthanamRamiro JordanPublished in: ACSCC (2021)
Keyphrases
- deep learning
- noisy environments
- speech signal
- fundamental frequency
- unsupervised learning
- speech recognition
- machine learning
- unsupervised feature learning
- speech enhancement
- automatic speech recognition
- speaker verification
- noise reduction
- hidden markov models
- particle filter
- mean shift
- object tracking
- mental models
- appearance model
- weakly supervised
- neural network
- feature selection
- pattern recognition
- particle filtering
- computer vision
- information extraction