Engineering
Speech Enhancement
78%
Single Channel
63%
Estimator
63%
Harmonics
54%
Phase Estimation
39%
Performance
34%
Short-Time Fourier Transform
26%
Front End
19%
Automatic Speech Recognition
19%
Beamformer
19%
Robust Speech Recognition
19%
Audio Stream
19%
Eigenvector
19%
Beamforming
19%
Discrete Fourier Transform
19%
Matrix Phase
19%
Maximum a Posteriori
19%
Accuracy
19%
Noise Scenario
16%
Speech Signal
14%
Reduction
14%
Models
14%
Phase Mixture
13%
Code Vector
13%
Random Variable ξ
9%
Signal-to-Noise Ratio
9%
Experiments
9%
Demonstrates
9%
Short Time
9%
Input Signal
9%
Progression
9%
Fields
9%
Signal Processing
9%
Transfer Function
9%
Signal Component
7%
Magnitude Spectrum
6%
Signal Reconstruction
6%
Desired Signal
6%
Codebooks
6%
Observed Mixture
6%
Dimensionality
6%
Subjective Evaluation
6%
Full Covariance Matrix
6%
Physics
Harmonics
100%
Quality
63%
Speech Enhancement
59%
Signal-to-Noise Ratio
44%
Detection
39%
Amplitude
31%
Utilization
29%
Spectra
24%
Domain
24%
Independent Variables
13%
Magnitude
9%
Signal Processing
6%
Computer Science
Single Channel Speech Enhancement
39%
Speech Communication
19%
Statistical Approach
19%
Circular Variance
19%
Speaker Identification
19%
Temporal Correlation
19%
Joint Approach
19%
Diagonal Entry
19%
Speech Synthesis
14%
Speech Processing
14%
Speaker Recognition
14%
Perceived Quality
13%
Transform Coefficient
9%
Independent Amplitude
9%
Underlying Distribution
9%
Spectral Coefficient
9%
Research Worker
9%
Estimation Accuracy
9%
Processing Method
9%
second order statistic
9%
Noise-to-Signal Ratio
9%
Frequency Region
9%
Diagonal Covariance Matrix
9%
Time Fourier Transform
9%
Signal Processing
9%
Statistical Independence
9%
Transform Domain
9%
Benchmark
9%
Recognition Accuracy
7%
State Transition
6%
Kalman Filtering
6%
Signal Modeling
6%
time-frequency representation
6%
Transition Model
6%
