Method, device and system for using statistical information to r

Data processing: speech signal processing – linguistics – language – Speech signal processing – Synthesis

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704265, G10L 502

Patent

active

059131942

ABSTRACT:
A method (400), device and system (300) provide, in response to linguistic information, efficient generation of a parametric representation of speech using a neural network. The method provides, in response to linguistic information efficient generation of a refined parametric representation of speech, comprising the steps of: A) using a data selection module to retrieve representative parameter vectors for each segment description according to the phonetic segment type and the phonetic segment types included in adjacent segment descriptions; B) interpolating between the representative parameter vectors according to the segment descriptions and duration to provide interpolated statistical parameters; C) converting the interpolated statistical parameters and linguistic information to neural network input parameters; D) utilizing a statistically enhanced neural network
eural network with post-processor to provide neural network output parameters that correspond to a parametric representation of speech; and converting the neural network output parameters to a refined parametric representation of speech.

REFERENCES:
patent: 5668926 (1997-09-01), Karaali et al.
"From Text To Speech--The MITalk System" by Jonathan Allen, M. Sharon Hunnicutt and Dennis Klatt; Cambridge University Press, pp. 108-122 and 181-201.
"Speech Communication--Human and Machine" by Douglas O'Shaughnessy, INRS-Telecommunications; Addison-Wesley Publishing Company, pp. 55-63.

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