Experimental Recognition of Consonants by Log-likelihood ratio function

REPORTING UNCERTAINTY BY SPLINE FUNCTION APPROXIMATION OF LOG-LIKELIHOOD by

Dimensionality reduction of phone log-likelihood ratio features for spoken language recognition

In a previous work, we introduced the use of log-likelihood ratios of phone posterior probabilities, called Phone LogLikelihood Ratios (PLLR) as features for language recognition under an iVector-based approach, yielding high performance and promising results. However, the high dimensionality of the PLLR feature vectors (with regard to MFCC/SDC features) results in comparatively higher computat...

Derivation of LDA log likelihood ratio one-to-one classifier

In order to be able to design the likelihood ratio classifier, we make the following assumptions: • The conditional probability density functions p(x|ci) are normal with mean μi and covariance Ci • All classes have different mean, but the same covariance, i.e. Ci = Cw. This covariance is called the within class variance. The variance within a class is e.g. caused by expression and illumination ...

Selective Demodulation Scheme Based on Log-Likelihood Ratio Threshold

This paper aims at designing a selective demodulation scheme based on Log-likelihood Ratio threshold (SDLT) instead of the conventional adaptive demodulation (ADM) scheme, by using rateless codes. The major difference is that the Log-likelihood ratio (LLR) threshold is identified as a key factor to control the demodulation rate, while the ADM uses decision region set (DRS) to adjust the bit rat...

MICCLLR: Multiple-Instance Learning Using Class Conditional Log Likelihood Ratio

Multiple-instance learning (MIL) is a generalization of the supervised learning problem where each training observation is a labeled bag of unlabeled instances. Several supervised learning algorithms have been successfully adapted for the multiple-instance learning settings. We explore the adaptation of the Naive Bayes (NB) classifier and the utilization of its sufficient statistics for develop...