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Computer Science
Analysis Model
30%
Approximation (Algorithm)
15%
Boltzmann Machine
10%
Broadcast News
15%
cepstral
34%
Cepstral Coefficient
15%
Core Condition
27%
Covariance Matrix
14%
Dimensional Vector
10%
Distance Metric
12%
Equal Error Rate
37%
Euclidean Distance
8%
Experimental Result
16%
Fourier Transform
8%
Gaussian Mixture
10%
Gaussian Mixture Model
52%
Graphics Processing Unit
24%
Graphics Processor
15%
Language Modeling
10%
Likelihood Score
13%
Linear Discriminant Analysis
24%
Linguistics
9%
maximum-likelihood
19%
Mean Shift
10%
Mel-Frequency Cepstral Coefficients
31%
Modern Processor
8%
Optical Spectrum
22%
Parallel Architectures
15%
Parallelization
9%
Recognition System
10%
Recognizer
8%
Robust Speech Recognition
10%
Salient Region
10%
Score Normalization
10%
Searching Algorithm
13%
Speaker Diarization
26%
Speaker Identification
37%
Speaker Recognition
74%
Speaker Variability
7%
Speaker Verification
100%
Speech Recognition
52%
Speech Recognition System
19%
Speech Recognizer
13%
Speed-up
13%
Support Vector Machine
28%
Telephone
27%
Telephone Conversation
10%
Training Data
24%
Varying Degree
10%
Verification System
15%
Keyphrases
Acoustics
11%
Anchor Model
10%
Audio
7%
Broadcast News
13%
Cepstral Features
20%
Channel Condition
7%
Continuous Speech Recognition
12%
Cosine Similarity
10%
Cross-channel
7%
Detection Cost
10%
Diarization Error Rate
10%
Eigenchannels
7%
Eigenvoice
19%
Emotional Health
10%
Equal Error Rate
20%
Error Rate
8%
Evidence-based
10%
Exponential Family
10%
Factor Analysis
19%
Factor Analysis Model
15%
Gaussian Mixture Model
19%
Graphics Processing Unit
10%
I-vector
22%
Information Theory
7%
Joint Factor Analysis
31%
Mean Shift Algorithm
15%
Probabilistic Linear Discriminant Analysis
8%
Prosodic Features
10%
Speaker Adaptation
13%
Speaker Clustering
12%
Speaker Diarization
17%
Speaker Factor
10%
Speaker Identification
22%
Speaker Model
7%
Speaker Recognition
26%
Speaker Recognition Evaluation
14%
Speaker Recognition System
17%
Speaker Variability
16%
Speaker Verification
46%
Spectrogram
6%
Speech Emotion Recognition
10%
Speech Recognition
17%
Speech Recognition System
7%
Speech Recognition Task
7%
Speech Signal
7%
Support Vector Machine
7%
Telephone Speech
12%
Training Data
13%
Utterance
16%
Within-class
8%
