Speech Recognition and Text-to-Speech Learning System

A method for generating a text-to-speech model and a speech-recognition model, the method comprising:

• generating a pronunciation sequence conversion model based on a plurality of pronunciation sequence differences, wherein each of the pronunciation sequence differences is associated with a training pair from a plurality of training pairs and each of the pronunciation sequence differences is generated by comparing a first pronunciation sequence generated from a speech input of a training pair associated with the pronunciation sequence difference to a second pronunciation sequence generated from the text input of the training pair associated with the pronunciation sequence difference;
• and
• adapting an acoustic model based on a plurality of converted audio signal vectors, wherein each of the converted audio signal vectors is associated with a speech input from a plurality of speech inputs and the each of the converted audio signal vectors is generated by extracting an audio signal vector from the speech input associated with the converted audio signal vector and applying an audio signal vector conversion model to the extracted audio signal vector.