Method for automated training of a plurality of artificial neural networks

A computer program product including a “non-transitory” computer readable storage medium having computer executable code thereon for automated training of a plurality of artificial neural networks for phoneme recognition using training data, wherein the training data comprises speech signals subdivided into frames, each frame associated with a phoneme label, wherein the phoneme label indicates a phoneme associated with the frame, the computer code comprising:

• computer code for providing a sequence of frames from the training data, wherein the number of frames in the sequence of frames is at least equal to the number of artificial neural networks;
• computer code for assigning to each of the artificial neural networks a different subsequence of the provided sequence, wherein each subsequence comprises a predetermined number of frames;
• computer code for determining a common phoneme label for the sequence of frames based on the phoneme labels of one or more frames of one or more subsequences of the provided sequence;
• and
• computer code for training each artificial neural network using the common phoneme label.