Detection of inconsistent training data in a voice recognition system

A method for detecting inconsistent voice training in a speech recognition system, the method comprising the steps of:

• inputting data representing a first spoken phrase and a second spoken phrase defining a voice recognition training pair;
• converting the training pair into separate feature sets and determining a Viterbi path score for each of the separate feature sets to define a feature vector of the training pair;
• comparing the feature vector with a collection of data of previously stored training pairs;
• testing the comparison from the comparing step against a predetermined threshold to determine if the representation of the training pair is consistent;
• storing a combined representation of the training pair as a valid training pair if the representation of the training pair is consistent;
• and
• rejecting the training pair if the representation of the training pair is not consistent.

An apparatus for detecting inconsistent voice training in a speech recognition system, comprising:

• a receiver that inputs data representing a first spoken phrase and a second spoken phrase defining a voice recognition training pair and outputs a representation of the training pair;
• a memory for storing training pairs;
• a comparator that inputs the representation of the training pair from the receiver, compares it with a collection of data of training pairs previously stored in the memory, and outputs a comparison;
• and
• a detector that inputs the comparison and tests it against a predetermined threshold to determine if the representation of the training pair is consistent, wherein if the representation of training pair is found consistent, a combined representation of the training pair is stored in the memory as a valid training pair.