Patent Document ID: 7587320
Application ID: 11832262

Base Claim:
1. A system that concatenates speech units to produce synthetic speech, the system comprising: a processor; a module configured to control the processor to train a set of Hidden Markov Models (HMMs) using seed data in a first iteration; a module configured to control the processor to align the set of HMMs to produce segmented unit labels; and a module configured to control the processor to adjust boundaries of the unit labels using spectral boundary correction, wherein the unit labels having adjusted boundaries are used to concatenate speech units to synthesize speech.

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Claim 2:
2. The system in claim 1 , wherein the module configured to control the processor to train the set of Hidden Markov Models further: initializes the set of HMMs using at least one of hand-labeled bootstrapped data, speaker-independent HMM bootstrapped data, and flat start data; re-estimates the set of HMMs; and performs an embedded re-estimation on the set of HMMs.