Systems and methods for determining microphone position

• US 10,313,811 B2
• Filed: 08/23/2018
• Issued: 06/04/2019
• Est. Priority Date: 07/13/2016
• Status: Active Grant

• Current Assignee: Hand Held Products Incorporated (Honeywell International Inc.)
• Original Assignee: Hand Held Products Incorporated (Honeywell International Inc.)
• Inventors: Hardek, David D.
• Primary Examiner(s): Sniezek, Andrew L
• Application Number:
  US16/110,602
• Publication Number:
  US 20180367930A1
• Time in Patent Office: 285 Days
• CPC Class Codes: G10L 15/01 Assessment or evaluation of speech recognition systems
• CPC Class Codes: G10L 15/16 using artificial neural networks
• CPC Class Codes: G10L 15/26 Speech to text systems G10L15/08 takes precedence
• CPC Class Codes: G10L 2015/025 Phonemes, fenemes or fenones being the recognition units
• CPC Class Codes: G10L 2015/0631 Creating reference templates; Clustering
• CPC Class Codes: H04R 2201/107 Monophonic and stereophonic headphones with microphone for two-way hands free communication
• CPC Class Codes: H04R 29/004 for microphones H04R29/007 takes precedence
• CPC Class Codes: H04R 5/033 Headphones for stereophonic communication details thereof, e.g. relating to batteries, cables or control elements H04R1/10

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.

Claims

1. An apparatus comprising:

at least one processor; and

at least one memory including computer program code, the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to at least;

receive a signal from a headset;

derive a plurality of inputs from the signal to determine an approximate position of a microphone relative to a user'"'"'s mouth;

process, using a discriminative classifier that comprises a model derived from at least one of training data and test data, wherein the at least one of the training data and the test data comprise a measured actual position of a microphone relative to the user'"'"'s mouth, the plurality of inputs and a contextual data to determine a derived value of the approximate position of the microphone relative to the user'"'"'s mouth, wherein the contextual data is representative of conditions occurring at a time when speech audio is captured by the microphone

determine whether the derived value of the approximate position of the microphone is unacceptable based on a comparison of the derived value and at least one of a value and a range values indicative of the microphone being an acceptable distance relative to the user'"'"'s mouth; and

provide a signal to a user if the derived value of the approximate position of the microphone is unacceptable.

2. The apparatus of claim 1, wherein the at least one memory including the computer program code is further configured to, with the at least one processor, cause the apparatus to calculate a Fourier transformation on data selected from the group consisting of the signal and data derived from the signal.

3. The apparatus of claim 2, wherein an input of the plurality of inputs is derived from calculating of the Fourier transformation.

4. The apparatus of claim 1, wherein the at least one memory including the computer program code is further configured to, with the at least one processor, cause the apparatus to decode a phoneme from data selected from the group consisting of the signal and data derived from the electrical signal, wherein an input of the plurality of inputs comprises the phoneme.

5. The apparatus of claim 4, wherein the phoneme is decoded using a text-to-phoneme engine.

6. The apparatus of claim 1, wherein the contextual data information comprises at least one of a gain setting and a classification of background noise.

7. The apparatus of claim 1, wherein the at least one memory including the computer program code is further configured to, with the at least one processor, cause the apparatus to:

derive first and second inputs of the plurality of inputs from the signal; and

weight the first input more heavily than any weighting of the second input in the discriminative classifier.

8. The apparatus of claim 7, wherein the at least one memory including the computer program code is further configured to, with the at least one processor, cause the apparatus to provide first and second phenomes that are different from one another;

and perform text-to-phenome conversions, wherein the first input comprises the first phenome, and the second input comprises the second phenome.

9. A system comprising:

a microphone, wherein the microphone captures speech audio from a user'"'"'s mouth and outputs an electrical signal indicative of the speech audio;

a computer and a storage device storing instructions that are operable, when executed by the computer, to cause the computer to output, using a discriminative classifier that comprises a model derived from training data and/or test data, the training data and/or the test data comprising a manually measured actual position of a microphone relative to a user'"'"'s mouth, a derived value of the approximate position of the microphone relative to the user'"'"'s mouth, the operations comprising;

receiving an electrical signal transmitted by the microphone;

determining a plurality of inputs from the electrical signal, wherein a first input of the plurality of inputs is derived from the electrical signal, and a second input of the plurality of inputs comprises contextual data, the contextual data representative of conditions occurring at a time when the speech audio is captured; and

outputting the derived value of the approximate position of the microphone relative to the user'"'"'s mouth, the output derived at least in part from the plurality of inputs.

10. The system of claim 9, wherein the operations further comprise:

whether the derived value of the approximate position of the microphone is unacceptable; and

providing a signal in response to the computer determining that the derived value of the approximate position of the microphone is unacceptable.

11. The system of claim 9, wherein the operations further comprise deriving the input from the electrical signal.

12. The system of claim 11, wherein the operations further comprise calculating a Fourier transformation on data selected from the group consisting of the electrical signal and data derived from the electrical signal.

13. The system of claim 12, wherein the input comprises results from the calculating of the Fourier transformation.

14. The system of claim 12, wherein the input is derived from results from the calculating of the Fourier transformation.

15. The system of claim 11, wherein the operations further comprise decoding a phoneme from data selected from the group consisting of the electrical signal and data derived from the electrical signal.

16. The system of claim 15, wherein the input comprises the phoneme, and the decoding of the phoneme is comprised of using a text-to-phoneme engine.

17. The system of claim 9, wherein:

the first and second inputs of the plurality of inputs are derived from the electrical signal; and

the first input weights more heavily than any weight of the second input in the computerized discriminative classifier.

18. The system of claim 17, wherein the operations further comprise providing first and second phenomes that are different from one another;

and performing text-to-phenome conversions, wherein;

the first input comprises the first phenome; and

the second input comprises the second phenome.

19. A system to determine a relative position of a microphone, the system comprising:

a discriminative classifier, implemented on a computer, that is configured to receive a plurality of inputs,

the discriminative classifier comprising a model derived from training data and/or test data, the training data and/or the test data comprising a manually measured actual position of a microphone relative to a user'"'"'s mouth, and the plurality of inputs comprising;

(i) an electrical signal output from the microphone in response to the microphone capturing speech audio from a user'"'"'s mouth while the microphone is at a position relative to the user'"'"'s mouth, and/or data derived from the electrical signal; and

(ii) contextual data, the contextual data originating and/or representing conditions occurring at a time when the speech audio is captured;

wherein the discriminative classifier is further configured to provide a derived value of an approximate position of the microphone relative to the user'"'"'s mouth, the derived value based at least in part on the plurality of inputs, wherein the derived value is processed by the computer to determine if the approximate position of the microphone unacceptable at least in part by comparing the derived value output from the discriminative classifier to a value or range indicative of the microphone being an acceptable distance relative to the user'"'"'s mouth.

20. The system of claim 19, wherein the microphone is part of a head set that further comprises a speaker that is configured to provide an audio indication that the position of the microphone is unacceptable, wherein the speaker providing the audio indication is in response to the computer providing a signal.