Nokia Corporation

Marcel Cezar Vasilache

Adriana Vasilache

Imre Kiss

An apparatus configured to model an encoded signal to estimate at least one distribution of the signal, rotate the signal with respect to a lattice, for lattice quantization of the signal, dependent on the at least one distribution of the signal, and quantize the signal rotated with respect to the lattice.

Audio signal coding system and method using speech signal rotation prior to lattice vector quantization

A method for determining a set of distortion measures in a pattern recognition process, where a sequence of feature vectors is formed from a digitized incoming signal to be recognized, said pattern recognition being based upon said set of distortion measures. The method comprises comparing (S) a first feature vector in said sequence with a first number (M) of templates from a set of templates representing candidate patterns, based on said comparison, selecting (S) a second number (M) of templates from said template set, the second number being smaller than the first number, and comparing (S) a second feature vector only with said selected templates. The method can be implemented in a device for pattern recognition.

Determining distortion measures in a pattern recognition process

Pattern recognition, wherein a sequence of feature vectors is formed from a digitized incoming signal, the feature vectors comprising feature vector components, and at least one feature vector is compared with templates of candidate patterns by computing a distortion measure. A control signal based on at least one time-dependent variable of the recognition process is formulated, and the distortion measure is computed using only a subset of the vector components of the feature vector, the subset being chosen in accordance with said control signal. This reduces the computational complexity of the computation, as the dimensionality of the vectors involved in the computation is effectively reduced. Although such a dimension reduction decreases the computational need, it has been found not to significantly impair the classification performance.

Growing community of inventors

Tampere, Finland

Marcel Cezar Vasilache