Artificial intelligence-based text-to-speech system and method

A method of training text-to-speech (TTS) processing comprising:

• receiving, by a subsystem, an input vector from conversion of text;
• interacting, by a neural network of the subsystem, with a pre-existing knowledgebase of phonemes to apply an error signal to correct for speech signal distortions of the pre-existing knowledgebase of phonemes to generate a corrected speech signal;
• iteratively correcting, by a training subsystem coupled to the subsystem, the subsystem for the speech signal distortions of the pre-existing knowledgebase of phonemes based on psychoacoustic processing for the subsystem to apply the error signal to correct for the speech signal distortions of the pre-existing knowledgebase of phonemes to generate the corrected speech signal;
• and
• ignoring, by the training subsystem, inaudible errors of the corrected speech signal based on masking.

A non-transitory computer-readable medium having program instructions for training text-to-speech (TTS) processing which, when executed across one or more processors, causes at least a portion of the one or more processors to perform operations comprising:

• receiving, by a subsystem, an input vector from conversion of text;
• interacting, by a neural network of the subsystem, with a pre-existing knowledgebase of phonemes to apply an error signal to correct for speech signal distortions of the pre-existing knowledgebase of phonemes to generate a corrected speech signal;
• iteratively correcting, by a training subsystem coupled to the subsystem, the subsystem for the speech signal distortions of the pre-existing knowledgebase of phonemes based on psychoacoustic processing to apply the error signal to correct for the speech signal distortions of the pre-existing knowledgebase of phonemes to generate the corrected speech signal;
• and
• ignoring, by the training subsystem, inaudible errors of the corrected speech signal based on masking.