Keyphrases
Continuous States
100%
Hidden Markov Model
86%
Speech Production
54%
Phoneme Sequence
40%
Voiced Sounds
36%
Consonant Recognition
27%
Neural Network Representation
27%
Bottleneck Neural Network
27%
Bottleneck Features
27%
Trajectory Analysis
27%
Speech Dynamics
27%
Speech Signal
22%
Perceptual Cues
18%
Human Perception
18%
Consonants
18%
Automated Training
13%
Movement Smoothness
13%
Training Corpus
13%
Forced Alignment
13%
Transition Sequence
13%
Alignment Method
13%
Statistical Model
13%
Articulator
13%
Probabilistic Model
13%
Practical Implementation
13%
Speech Model
13%
System Use
13%
Speech Recognition System
13%
ASR Features
9%
Recognizer
9%
Phoneme Duration
9%
Human Speech Perception
9%
Machine Classification
9%
Input Reconstruction
9%
Input Layer
9%
Feature Vector
9%
Phone Posteriorgram
9%
Core Test
9%
Trajectory Continuity
9%
Phoneme Recognition
9%
HMM-based
9%
Spectral Features
9%
Recognition System
9%
Speech Sounds
9%
TIMIT
9%
Discrete States
9%
Similarity Model
9%
Classification Results
9%
Low-dimensional Representation
9%
Hidden Layer
9%
Spectral Bands
9%
Neural Network
9%
Feature Preserving
9%
Phoneme
9%
Dynamic Model
9%
Transition Region
9%
Recognition Accuracy
9%
Computer Science
Human Perception
27%
Independent Event
27%
Observed Signal
27%
Neural Network
27%
Speech Recognition System
27%
Human Speech Perception
13%
Recognizer
13%
classification result
13%
Recognition Result
13%
Transition Region
9%
Dimensional Feature
9%
Recognition Accuracy
9%
Spectral Feature
9%
Feature Vector
9%
Recognition System
9%
Engineering
Continuous State
54%
Spectral Feature
13%
Progress Report
13%
Independent Event
13%
Mathematical Model
13%
Input Layer
13%
Hidden Layer
13%
Feature Vector
13%
Dynamic Models
13%
Recognition Accuracy
13%
Speech Signal
13%