November 2012
Intermediate to advanced
514 pages
17h 40m
English
book
Techniques for Noise Robustness in Automatic Speech Recognition
by Rita Singh, Tuomas Virtanen, Bhiksha Raj
Content preview from Techniques for Noise Robustness in Automatic Speech Recognition
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Index
a posteriori SNR
a priori SNR
estimation
decision directed
acoustic echo cancellation
acoustic impulse response
acoustic model
acoustic pre-processing
acoustic transfer function
additive noise
Algonquin, see vector Taylor series
aliasing
cancellation
frequency
spatial
time
amplitude modulation
amplitude modulation spectrogram (AMS)
analysis
filter bank
frequency domain
subband domain
angle
polar
aperture
length
linear
array
gain
delay-and-sum
linear
manifold vector
modal manifold vector
spherical
articulation index
auditory models
auditory feature extraction
Carney group
detailed physiological models
frequency, rate, and scale, models based on
Gitza EIH model
impact on MFCC and PLP features
initial performance
Lyon auditory model
multi-band and multi-stream processing
neural synchrony
Seneff auditory model
tandem combination
auditory perception
auditory thresholds
frequency resolution
intensity, perception of
nonsimultaneous masking
psychoacoustical response to sound
auditory physiology
amplitude and frequency modulation, response to
binaural phenomena
frequency resolution
auditory physiology (Continued )
lateral suppression
rate-level response
synchrony, neural
transient response
auditory scene analysis (ASA)
schema-based grouping
auditory stream
primitive grouping
segments
sequential grouping
simultaneous grouping
Aurora-2
Aurora-3
Aurora-4
Aurora-5
autocorrelation
circular
normalized envelope autocorrelation
running autocorrelation
summary autocorrelation, see summary ...