Noise estimation based on standard deviation and sigmoid function using a posteriori signal to noise ratio in nonstationary noisy environments

International Journal of Control, Automation and Systems

Volumn 6, Issue 6, 2008, Pages 818-827

  Lee, Soo Jeong ^a   Kim, Soon Hyob ^b  

^a Sungkyunkwan University   (South Korea)

^b Kwangwoon University   (South Korea)

Author keywords

Noise estimation; Noise reduction; Sigmoid function; Speech enhancement

Indexed keywords

ACOUSTIC INTENSITY; ACOUSTIC NOISE; BINS; CONTROL SYSTEM ANALYSIS; CONTROL THEORY; ESTIMATION; FUNCTION EVALUATION; PARAMETER ESTIMATION; POWER SPECTRUM; PROBABILITY DENSITY FUNCTION; SPECTRUM ANALYSIS; SPEECH; SPEECH ENHANCEMENT; SPEECH RECOGNITION; STATISTICS;

A POSTERIORI; ADAPTIVE ESTIMATORS; AUTO CONTROLS; CLEAN SPEECHES; COMPUTATIONAL LOADS; CONVENTIONAL METHODS; EVALUATION CRITERIONS; FREQUENCY BINS; GAIN FUNCTIONS; LINEAR FUNCTIONS; NEW ALGORITHMS; NOISE ESTIMATION; NOISE ESTIMATIONS; NOISE LEVELS; NOISE REDUCTION; NOISE SIGNALS; NOISY ENVIRONMENTS; NON STATIONARIES; NONSTATIONARY NOISES; REDUCTION ALGORITHMS; SIGMOID FUNCTION; SIGMOID FUNCTIONS; SIGNAL-TO-NOISE RATIOS; STANDARD DEVIATIONS; TIME FREQUENCIES;

SIGNAL TO NOISE RATIO;

EID: 57549119273     PISSN: 15986446     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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