Patent Document ID: 10089974
Application ID: 15087696

Base Claim:
1. A text-to-speech learning system, the system comprising: at least one processor; and at least one storage device, operatively connected to the at least one processor and storing: at least one training corpus comprising a plurality of training pairs that represent a varied vocabulary from one or more speakers, each training pair comprising a speech input and a text input corresponding to the speech input; and instructions that, when executed by the at least processor, cause the at least one processor to perform a method for generating a pronunciation sequence conversion model, the method comprising: for each training pair: selecting a training pair from the at least one training corpus; generating a first pronunciation sequence from the speech input of the training pair; and generating a second pronunciation sequence from the text input of the training pair; determining a pronunciation sequence difference between the first pronunciation sequence and the second pronunciation sequence; and generating a pronunciation sequence conversion model based on a plurality of pronunciation sequence differences, wherein the pronunciation sequence conversion model is configured to synthesize speech by converting a pronunciation sequence generated in response to a received speech input to a target pronunciation sequence that more closely matches a pronunciation sequence extracted from the received speech input.

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Claim 2:
2. The text-to-speech learning system of claim 1 , wherein the method further comprises extracting an audio signal vector from the speech input of the training pair, and wherein the first pronunciation sequence is generated based on the extracted audio signal vector.