# US 11,908,464 B2 · Electronic device and method for controlling same

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- Number: US 11,908,464 B2
- Document ID: US11908464B2
- Status: Granted
- Kind: B2
- Application number: 17/309,363
- Filed: 2019-11-25
- Published: 2022-01-27
- Granted: 2024-02-20
- Earliest claimed: 2018-12-19
- Assignees: Samsung Electronics Co., Ltd.
- Applicants: Samsung Electronics Co., Ltd.
- Inventors: Jaesun Shin; Joonrae Cho; Jeongman Lee
- Web page: https://patentgrep.com/patent/US11908464B2

## CPC

- G10L 15/20: Speech recognition techniques specially adapted for robustness in adverse environments, e.g. in noise, of stress induced speech (G10L21/02 takes precedence)
- G06F 3/16: Sound input; Sound output (speech processing G10L)
- G10L 15/22: Procedures used during a speech recognition process, e.g. man-machine dialogue
- G10L 21/0216: characterised by the method used for estimating noise
- H02S 99/00: Subject matter not provided for in other groups of this subclass
- H04R 1/1083: {Reduction of ambient noise (active noise reduction per se G10K11/175; protective devices for the ear, e.g. providing acoustic protection A61F11/06)}
- H04R 1/326: {for microphones (H04R1/34 and H04R1/40 take precedence)}
- G10L 21/0208: Noise filtering
- G10L 2021/02166: {Microphone arrays; Beamforming}
- H04R 2227/005: Audio distribution systems for home, i.e. multi-room use
- H04R 2227/009: Signal processing in [PA] systems to enhance the speech intelligibility
- H04R 2420/07: Applications of wireless loudspeakers or wireless microphones
- Y02E 10/50: Photovoltaic [PV] energy
- G10L: SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N)
- H02S: GENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES (obtaining electrical energy from radioactive sources G21H1/12; light sensitive inorganic semiconductor devices H10F; light sensitive organic semiconductor devices H10K30/00; thermoelectric devices H10N10/00; pyroelectric devices H10N15/00)
- H04R: LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; ELECTRIC HEARING AIDS; PUBLIC ADDRESS SYSTEMS (producing sounds with frequency not determined by supply frequency G10K)
- Y02E: REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION

## Abstract

An electronic device and a method for controlling same are provided. The present electronic device comprises: a communication unit; and a processor configured to receive multiple audio signals via the communication unit, the multiple audio signals being acquired by multiple external electronic devices which have microphones, respectively, and which are positioned at different places, via microphones thereof, the processor being configured to determine at least one audio signal including a user voice uttered by a user among the multiple audio signals and to perform voice recognition regarding an audio signal acquired from the determined audio signals on the basis of the intensity of the determined audio signals.

## Claims

### Claim 1

An electronic device comprising:
a communicator; and
a processor configured to:
control the communicator to receive a plurality of audio signals being obtained by a plurality of external electronic devices having microphones and being located at different place, respectively,
determine at least one audio signal including a user speech uttered by a user, among the plurality of audio signals based on an intensity of the plurality of audio signals,
perform speech recognition regarding an audio signal obtained from the determined audio signals,
determine a location of the user based on a location of an external electronic device which transmits an audio signal for which the speech recognition is performed among the plurality of external electronic devices, and
provide a service according to the speech recognition based on the determined location of the user.

### Claim 2 (depends on 1)

The electronic device of claim 1, wherein the processor is further configured to determine at least one audio signal including a user speech uttered by the user, from among the plurality of audio signals, based on a signal pattern of the plurality of audio signals.

### Claim 3 (depends on 2)

The electronic device of claim 2, wherein the processor is further configured to determine an audio signal having similar signal patterns, among the plurality of audio signals, as an audio signal including a user speech uttered by the user.

### Claim 4 (depends on 1)

The electronic device of claim 1, wherein the processor is further configured to:
transmit, to an external server through the communicator, an audio signal that is greater than or equal to a preset magnitude, among the plurality of audio signals, and determine at least one audio signal including a user speech uttered by the user among the plurality of audio signals based on information received from the external server.

### Claim 5 (depends on 1)

The electronic device of claim 1, wherein the processor is further configured to perform speech recognition regarding an audio signal having greatest intensity among the determined audio signals.

### Claim 6 (depends on 1)

The electronic device of claim 1, wherein the processor is further configured to remove noise from an audio signal obtained based on the intensity of the determined audio signal and perform speech recognition for the audio signal from which the noise is removed.

### Claim 7 (depends on 1)

The electronic device of claim 1, wherein the plurality of external electronic devices convert an external energy into an electrical energy through energy harvesting and supply power to the plurality of external electronic devices using the electrical energy.

### Claim 8

A method for controlling an electronic device, the method comprising:
receiving a plurality of audio signals being obtained by a plurality of external electronic devices having microphones and being located at different places, respectively;
determining at least one audio signal including a user speech uttered by a user, among the plurality of audio signals based on an intensity of the plurality of audio signals;
performing speech recognition regarding an audio signal obtained from the determined audio signals;
determining a location of the user based on a location of an external electronic device which transmits an audio signal for which the speech recognition is performed among the plurality of external electronic devices; and
providing a service according to the speech recognition based on the determined location of the user.

### Claim 9 (depends on 8)

The method of claim 8, wherein the determining the audio signal comprises determining at least one audio signal including a user speech uttered by the user, from among the plurality of audio signals, based on a signal pattern of the plurality of audio signals.

### Claim 10 (depends on 9)

The method of claim 9, wherein the determining the audio signal comprises determining an audio signal having similar signal patterns, among the plurality of audio signals, as an audio signal including a user speech uttered by the user.

### Claim 11 (depends on 8)

The method of claim 8, wherein the determining the audio signal comprises:
transmitting, to an external server, an audio signal that is greater than or equal to a preset magnitude, among the plurality of audio signals; and
determining at least one audio signal including a user speech uttered by the user among the plurality of audio signals based on information received from the external server.

### Claim 12 (depends on 8)

The method of claim 8, wherein the performing the speech recognition comprises performing speech recognition for an audio signal having greatest intensity among the determined audio.

### Claim 13 (depends on 8)

The method of claim 8, wherein the performing the speech recognition comprises:
removing noise from an audio signal obtained based on the intensity of the determined audio signal; and
performing speech recognition for the audio signal from which the noise is removed.
