The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Apr. 10, 2012

Filed:

Feb. 07, 2007
Applicants:

Tomoki Toda, Ikoma, JP;

Mikihiro Nakagiri, Ikoma, JP;

Hideki Kashioka, Ikoma, JP;

Kiyohiro Shikano, Ikoma, JP;

Inventors:

Tomoki Toda, Ikoma, JP;

Mikihiro Nakagiri, Ikoma, JP;

Hideki Kashioka, Ikoma, JP;

Kiyohiro Shikano, Ikoma, JP;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 13/02 (2006.01); G10L 13/00 (2006.01);
U.S. Cl.
CPC ...
Abstract

[Problems] To convert a signal of non-audible murmur obtained through an in-vivo conduction microphone into a signal of a speech that is recognizable for (hardly misrecognized by) a receiving person with maximum accuracy. [Means for Solving Problems] A speech processing method comprising: a learning step (S) for conducting a learning calculation of a model parameter of a vocal tract feature value conversion model indicating conversion characteristic of acoustic feature value of vocal tract, on the basis of a learning input signal of non-audible murmur recorded by an in-vivo conduction microphone and a learning output signal of audible whisper corresponding to the learning input signal recorded by a prescribed microphone, and then, storing a learned model parameter in a prescribed storing means; and a speech conversion step (S) for converting a non-audible speech signal obtained through an in-vivo conduction microphone into a signal of audible whisper, based on a vocal tract feature value conversion model, with a learned model parameter obtained through the learning step set thereto.


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