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A novel spectral subtraction scheme for robust speech recogniton: Spectral subtraction using spectral harmonics of speech
Jounghoon Beh
*
,
Hanseok Ko
*
Corresponding author for this work
Research output
:
Contribution to journal
›
Conference article
›
peer-review
27
Citations (Scopus)
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Dive into the research topics of 'A novel spectral subtraction scheme for robust speech recogniton: Spectral subtraction using spectral harmonics of speech'. Together they form a unique fingerprint.
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Keyphrases
Spectral Subtraction
100%
Subtraction Scheme
100%
Recogniton
100%
Low Signal-to-noise Ratio
75%
High Signal-to-noise Ratio
50%
Representative Experiment
25%
Attenuation
25%
Utterance
25%
Compensation Scheme
25%
Signal-to-noise Ratio
25%
Superior Performance
25%
Mismatch Problem
25%
AURORA2
25%
Noisy Environment
25%
Speech Recognition System
25%
Power Spectrum
25%
Speech Spectrum
25%
Training Conditions
25%
Testing Conditions
25%
Car Noise
25%
Noise Compensation
25%
Engineering
Signal-to-Noise Ratio
100%
Harmonics
100%
Conventional Method
16%
Power Spectra
16%
Noisy Environment
16%
Automatic Speech Recognition
16%
Testing Condition
16%