David D Hardek

US Patent:

20180367930, Dec 20, 2018

Filed:

Aug 23, 2018

Appl. No.:

16/110602

Inventors:

- Fort Mill SC, US
David D. HARDEK - Allison Park PA, US

International Classification:

H04R 29/00
G10L 15/01
H04R 5/033
G10L 15/06
G10L 15/26
G10L 15/16
G10L 15/02

Abstract:

A method for determining a relative position of a microphone may include capturing speech audio from a user's mouth with the microphone so that the microphone outputs an electrical signal indicative of the speech audio; determining an indication of a position of the microphone relative to the user's mouth, which may include providing a plurality of inputs to a computerized discriminative classifier, wherein an input of the plurality of inputs is derived from the electrical signal, and wherein an output from the computerized discriminative classifier is indicative of the position of the microphone relative to the user's mouth.

US Patent:

20180033454, Feb 1, 2018

Filed:

Jul 27, 2016

Appl. No.:

15/220584

Inventors:

- Pittsburgh PA, US
David D. Hardek - Allison Park PA, US

International Classification:

G10L 25/84
G10L 15/16
G10L 15/06
G10L 25/51
G10L 15/07

Abstract:

A device, system, and method whereby a speech-driven system can distinguish speech obtained from users of the system from other speech spoken by background persons, as well as from background speech from public address systems. In one aspect, the present system and method prepares, in advance of field-use, a voice-data file which is created in a training environment. The training environment exhibits both desired user speech and unwanted background speech, including unwanted speech from persons other than a user and also speech from a PA system. The speech recognition system is trained or otherwise programmed to identify wanted user speech which may be spoken concurrently with the background sounds. In an embodiment, during the pre-field-use phase the training or programming may be accomplished by having persons who are training listeners audit the pre-recorded sounds to identify the desired user speech. A processor-based learning system is trained to duplicate the assessments made by the human listeners.

US Patent:

20180020305, Jan 18, 2018

Filed:

Jul 13, 2016

Appl. No.:

15/209145

Inventors:

- Fort Mill SC, US
David D. Hardek - Allison Park PA, US

International Classification:

H04R 29/00
G10L 15/01

Abstract:

A method for determining a relative position of a microphone may include capturing speech audio from a user's mouth with the microphone so that the microphone outputs an electrical signal indicative of the speech audio; determining an indication of a position of the microphone relative to the user's mouth, which may include providing a plurality of inputs to a computerized discriminative classifier, wherein an input of the plurality of inputs is derived from the electrical signal, and wherein an output from the computerized discriminative classifier is indicative of the position of the microphone relative to the user's mouth.

US Patent:

20150302853, Oct 22, 2015

Filed:

Jul 1, 2015

Appl. No.:

14/789267

Inventors:

- Fort Mill SC, US
David D. Hardek - Allison Park PA, US

International Classification:

G10L 15/20

Abstract:

Audio frames are classified as either speech, non-transient background noise, or transient noise events. Probabilities of speech or transient noise event, or other metrics may be calculated to indicate confidence in classification. Frames classified as speech or noise events are not used in updating models (e.g., spectral subtraction noise estimates, silence model, background energy estimates, signal-to-noise ratio) of non-transient background noise. Frame classification affects acceptance/rejection of recognition hypothesis. Classifications and other audio related information may be determined by circuitry in a headset, and sent (e.g., wirelessly) to a separate processor-based recognition device.

US Patent:

20140278391, Sep 18, 2014

Filed:

Mar 12, 2013

Appl. No.:

13/797250

Inventors:

- Everett WA, US
David D. Hardek - Allison Park PA, US

Assignee:

INTERMEC IP CORP. - Everett WA

International Classification:

G10L 15/08

US Classification:

704233

Abstract:

Audio frames are classified as either speech, non-transient background noise, or transient noise events. Probabilities of speech or transient noise event, or other metrics may be calculated to indicate confidence in classification. Frames classified as speech or noise events are not used in updating models (e.g., spectral subtraction noise estimates, silence model, background energy estimates, signal-to-noise ratio) of non-transient background noise. Frame classification affects acceptance/rejection of recognition hypothesis. Classifications and other audio related information may be determined by circuitry in a headset, and sent (e.g., wirelessly) to a separate processor-based recognition device.