Patent Document ID: 9767788
Application ID: 14588069

Base Claim:
1. A method for speech synthesis based on a large Chinese corpus, comprising: utilizing a prosodic structure prediction model to carry out prosodic structure prediction processing on input text to provide at least two alternative prosodic boundary partitioning solutions, prosodic units located at a same location in the at least two alternative prosodic boundary partitioning solutions being different; acquiring structure probability information about a prosodic unit in the at least two alternative prosodic boundary partitioning solutions according to statistics taken beforehand on data in a Chinese speech corpus, wherein the structure probability information includes a structure probability that the prosodic unit appears at a head or a tail of a prosodic word, a prosodic phrase or an intonation phrase in the Chinese speech corpus; calculating output probabilities of the at least two alternative prosodic boundary partitioning solutions utilizing an output probability calculation function according to the structure probability information; and determining, in the at least two alternative prosodic boundary partitioning solutions, an alternative prosodic boundary partitioning solution of which the output probability is the maximum as a prosodic boundary partitioning solution; and carrying out speech synthesis by acoustic processing to convert the input text into a speech having a pause point and a pause time length according to the determined alternative prosodic boundary partitioning solution.

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Claim 6:
6. The method of claim 1 , wherein said calculating comprises performing weighted average on target prosodic hierarchy probabilities and structure probabilities of the at least two alternative prosodic boundary partitioning solutions in accordance with a predetermined weight parameter to determine output probabilities of the at least two alternative prosodic boundary partitioning solutions, wherein the target prosodic hierarchy probabilities include a prosodic hierarchy probability of the input text that a prosodic boundary of a corresponding prosodic hierarchy appears at the prosodic unit when prosodic structure prediction is performed on the input text utilizing the prosodic structure prediction model.