Text to speech synthesis using deep neural network with constant unit length spectrogram

A system for converting text to speech, the system comprising:

• an integrated circuit comprising a speech unit generator configured to convert text to a sequence comprising a plurality of speech units;
• an integrated circuit comprising a feature generator configured to create a plurality of text features to characterize the sequence of speech units;
• an integrated circuit comprising a spectrum generator configured to output a plurality of normalized spectrograms based on the sequence of speech unites and the plurality of text features;
• an integrated circuit comprising a duration generator configured to output a plurality of durations;
• each duration associated with one speech unit of the sequence of speech units;
• and
• an integrated circuit comprising a speech synthesizer configured to:
• a) modify a temporal length of each normalized spectrogram based on the associated duration;
• and
• b) combine the plurality of modified spectrograms into speech.

A non-transitory computer-readable medium encoding a computer program defining a system for converting text to speech, the system comprising:

• a phoneme generator configured to convert text to a sequence comprising a plurality of phonemes;
• a feature generator configured to create a plurality of text features to characterize the sequence of phonemes;
• a spectrum generator configured to output a plurality of normalized spectrograms based on the sequence of phonemes and the plurality of text features;
• a duration generator configured to output a plurality of durations;
• each duration associated with one phoneme of the sequence of phonemes;
• and
• a speech synthesizer configured to:
• a) modify a temporal length of each normalized spectrogram based on the associated duration;
• and
• b) combine the plurality of modified spectrograms into speech.

A non-transitory computer-readable medium encoding a computer program defining a method for converting text to speech, the method comprising:

• converting text to a sequence comprising a plurality of phonemes:
• generating a plurality of text features to characterize the sequence of phonemes;
• generating a plurality of normalized spectrograms based on the sequence of phonemes and the plurality of text features;
• generating a plurality of durations;
• each duration associated with one phoneme of the sequence of phonemes;
• and
• modifying a temporal length of each normalized spectrogram based on the associated duration;
• and
• combining the plurality of modified spectrograms into speech.