NEURAL NETWORKS FOR DETECTION OF PHONETIC FEATURES

摘要

In various embodiments, techniques for detecting phonetic features in a stream of speech data are provided by first dividing the stream speech data into a plurality of critical bands, segmenting the critical bands into streams of consecutive windows and determining various parameters for each window per critical band. The various parameters can then be combined using various operators in a multi-layered network including a first layer that can process the various parameters by using a sigmoid operator on a weighted parameters sum. The processed sums can then be further combined using a hierachy of conjonctive and disjunctive operators to produce a stream of detected features.