Abstract: A device performs a method for using image data to aid voice recognition. The method includes the device capturing (302) image data of a vicinity of the device and adjusting (304), based on the image data, a set of parameters for voice recognition performed by the device (102). The set of parameters for the device performing voice recognition include, but are not limited to: a trigger threshold of a trigger for voice recognition; a set of beamforming parameters; a database for voice recognition; and/or an algorithm for voice recognition. The algorithm may include using noise suppression or using acoustic beamforming.

Abstract: A method, a system, and a computer program product for detecting an audio trigger phrase at a particular audio input channel and initiating a voice recognition session. The method includes capturing audio content by a plurality of microphone pairs of an audio capturing device, wherein each microphone pair of the plurality of microphone pairs is associated with an audio input channel of a plurality of audio input channels of the audio capturing device. The method further includes simultaneously monitoring, by a processor of the audio capturing device, audio content on each of the audio input channels. The method further includes: independently detecting, by the processor, an audio trigger phrase on at least one audio input channel of the plurality of audio input channels; and in response to detecting the audio trigger phrase, commencing a voice recognition session using the at least one audio input channel as an audio source.

Abstract: A method includes obtaining, by a processor, an audio echo signal and an audio desired signal from an acoustic echo correction stage of an electronic device, and converting the echo signal and the desired signal to the frequency domain. The method further includes grouping, by the processor, frequency bin results of respective frequency domain converted echo and desired signals into respective echo and desired sub-bands. A sub-band suppressor gain is estimated based on an estimated sub-band energy for the echo and desired sub-bands. The method further includes modulating the frequency domain converted desired signal to compensate for residual echo, the modulating based, at least in part, on the estimated sub-band suppressor gain, and the modulating producing a compensated frequency domain converted echo signal. The method also includes converting the compensated frequency domain converted desired signal into time domain converted audio output signal.

Abstract: A method, a system, and a computer program product for preventing initiation of a voice recognition session. The method includes monitoring at least one audio output channel for at least one audio trigger phrase that initiates a voice recognition session. The method further includes in response to detecting the at least one audio trigger phrase on the at least one audio output channel, setting a logic state of at least one output trigger detector of the at least one audio output channel to a first state. The method further includes gating a logic state of at least one input trigger detector of at least one audio input channel to the first state for a time period and preventing initiation of a voice recognition session by the at least one audio trigger phrase on the at least one audio input channel while the logic state is the first state.

Abstract: The present application pertains to the technical field of electronics and discloses an adapter, which is configured to connect a host with a display device, and includes: a charging interface, a power module, a HUB interface, a control module, a host interface, and a HDMI module; the charging interface is connected with the power module, the charging interface is capable of externally connecting with a power adapter to charge the host; the HUB interface is connected with the host interface and an input/output device; the host interface is configured to externally connect with the host; and the HDMI module includes a video processing chip and an HDMI interface, and the control module controls display states of the host and the display device according to a connection state of the display device.

Abstract: A portable device performs echo cancellation and echo suppression. An audio echo signal and an audio desired signal are obtained from an acoustic echo correction stage of the portable device. The echo and desired signals are converted to the frequency domain. Frequency bin results of the respective frequency domain converted echo and desired signals are grouped into echo and desired sub-bands. A sub-band suppressor gain is estimated based on the estimated sub-band energy for the echo and desired sub-bands. The frequency domain converted echo signal is modulated based at least in part on the estimated sub-band suppressor gain to compensate for residual echo. The compensated frequency domain converted echo signal is time domain converted into an audio output signal. The audio output signal is processed by a selected one of a voice recognition engine and a communication module transmitter.

Abstract: A disclosed method includes monitoring an audio signal energy level while having a plurality of signal processing components deactivated and activating at least one signal processing component in response to a detected change in the audio signal energy level. The method may include activating and running a voice activity detector on the audio signal in response to the detected change where the voice activity detector is the at least one signal processing component. The method may further include activating and running the noise suppressor only if a noise estimator determines that noise suppression is required. The method may activate and runs a noise type classifier to determine the noise type based on information received from the noise estimator and may select a noise suppressor algorithm, from a group of available noise suppressor algorithms, where the selected noise suppressor algorithm is the most power consumption efficient.

Abstract: A method includes cycling through a plurality of microphone and speaker combinations in a mobile device in response to the mobile device being placed in speakerphone mode. The mobile device includes a plurality of microphones and at least one speaker. The method obtains acoustic echo data from an echo canceller for each microphone and speaker combination, calculates an acoustic isolation value for each combination and then selects a microphone and speaker combination based on the acoustic isolation value. The method may also include determining an echo spectrum for each microphone and speaker combination using the obtained acoustic echo data, and select an echo control profile based on a characteristic of the echo spectrum. The echo control profile is selected to further improve acoustic isolation for the selected microphone and speaker combination.

Abstract: A device performs a method for using image data to aid voice recognition. The method includes the device capturing image data of a vicinity of the device and adjusting, based on the image data, a set of parameters for voice recognition performed by the device. The set of parameters for the device performing voice recognition include, but are not limited to: a trigger threshold of a trigger for voice recognition; a set of beamforming parameters; a database for voice recognition; and/or an algorithm for voice recognition, wherein the algorithm can include using noise suppression or using acoustic beamforming.

Abstract: A device performs a method for using image data to aid voice recognition. The method includes the device capturing (302) image data of a vicinity of the device and adjusting (304), based on the image data, a set of parameters for voice recognition performed by the device (102). The set of parameters for the device performing voice recognition include, but are not limited to: a trigger threshold of a trigger for voice recognition; a set of beamforming parameters; a database for voice recognition; and/or an algorithm for voice recognition. The algorithm may include using noise suppression or using acoustic beamforming.

Abstract: A method includes cycling through a plurality of microphone and speaker combinations in a mobile device in response to the mobile device being placed in speakerphone mode. The mobile device includes a plurality of microphones and at least one speaker. The method obtains acoustic echo data from an echo canceller for each microphone and speaker combination, calculates an acoustic isolation value for each combination and then selects a microphone and speaker combination based on the acoustic isolation value. The method may also include determining an echo spectrum for each microphone and speaker combination using the obtained acoustic echo data, and select an echo control profile based on a characteristic of the echo spectrum. The echo control profile is selected to further improve acoustic isolation for the selected microphone and speaker combination.

Abstract: A method includes cycling through a plurality of microphone and speaker combinations in a mobile device in response to the mobile device being placed in speakerphone mode. The mobile device includes a plurality of microphones and at least one speaker. The method obtains acoustic echo data from an echo canceller for each microphone and speaker combination, calculates an acoustic isolation value for each combination and then selects a microphone and speaker combination based on the acoustic isolation value. The method may also include determining an echo spectrum for each microphone and speaker combination using the obtained acoustic echo data, and select an echo control profile based on a characteristic of the echo spectrum. The echo control profile is selected to further improve acoustic isolation for the selected microphone and speaker combination.

Abstract: An apparatus includes a group of microphones and a surface compensator that is operatively coupled to switch logic and to a signal conditioner that provides a control channel to voice recognition logic. The surface compensator may detect surfaces in proximity to the apparatus as well as the surface's acoustic reflectivity or acoustic absorptivity and may accordingly configure the group of microphones including selecting appropriate signal conditioning and beamforming based on the surface acoustic reflectivity or acoustic absorptivity and the orientation of the apparatus. Voice recognition performance is thus improved when microphones are impeded or occluded by proximate surfaces. A group of sensors of the apparatus is used by the surface compensator to detect surfaces and surface type, and to determine apparatus orientation and motion.

Abstract: A method includes detecting a surface in proximity to a mobile device using sensor data and determining an acoustic reflectivity or acoustic absorptivity of the surface using the sensor data. The method may further compensate for the acoustic reflectivity or acoustic absorptivity by controlling a configurable group of microphones of the mobile device. Compensating for the surface acoustic reflectivity or acoustic absorptivity may include beamforming the outputs of the configurable group of microphones to obtain one of an omnidirectional beamform pattern or a directional beamform pattern. An apparatus that performs the method include a configurable group of microphones, a signal conditioner, and a surface compensator. The surface compensator is operative to detect a surface in proximity to the apparatus and determine a surface acoustic reflectivity or acoustic absorptivity.

Abstract: A method and apparatus for adapting acoustic processing in a communication device, and capturing at least one acoustic signal using acoustic hardware of the communication device, characterizing an acoustic environment external to the communication device using the at least one captured acoustic signal, adapting acoustic processing within the communication device based on the characterized acoustic environment.

Abstract: A device performs a method for using image data to aid voice recognition. The method includes the device capturing image data of a vicinity of the device and adjusting, based on the image data, a set of parameters for voice recognition performed by the device. The set of parameters for the device performing voice recognition include, but are not limited to: a trigger threshold of a trigger for voice recognition; a set of beamforming parameters; a database for voice recognition; and/or an algorithm for voice recognition, wherein the algorithm can include using noise suppression or using acoustic beamforming.

Abstract: An apparatus includes a group of microphones and a surface compensator that is operatively coupled to switch logic and to a signal conditioner that provides a control channel to voice recognition logic. The surface compensator may detect surfaces in proximity to the apparatus as well as the surface's acoustic reflectivity or acoustic absorptivity and may accordingly configure the group of microphones including selecting appropriate signal conditioning and beamforming based on the surface acoustic reflectivity or acoustic absorptivity and the orientation of the apparatus. Voice recognition performance is thus improved when microphones are impeded or occluded by proximate surfaces. A group of sensors of the apparatus is used by the surface compensator to detect surfaces and surface type, and to determine apparatus orientation and motion.

Abstract: A method includes detecting a surface in proximity to a mobile device using sensor data and determining an acoustic reflectivity or acoustic absorptivity of the surface using the sensor data. The method may further compensate for the acoustic reflectivity or acoustic absorptivity by controlling a configurable group of microphones of the mobile device. Compensating for the surface acoustic reflectivity or acoustic absorptivity may include beamforming the outputs of the configurable group of microphones to obtain one of an omnidirectional beamform pattern or a directional beamform pattern. An apparatus that performs the method include a configurable group of microphones, a signal conditioner, and a surface compensator. The surface compensator is operative to detect a surface in proximity to the apparatus and determine a surface acoustic reflectivity or acoustic absorptivity.

Abstract: A method includes cycling through a plurality of microphone and speaker combinations in a mobile device in response to the mobile device being placed in speakerphone mode. The mobile device includes a plurality of microphones and at least one speaker. The method obtains acoustic echo data from an echo canceller for each microphone and speaker combination, calculates an acoustic isolation value for each combination and then selects a microphone and speaker combination based on the acoustic isolation value. The method may also include determining an echo spectrum for each microphone and speaker combination using the obtained acoustic echo data, and select an echo control profile based on a characteristic of the echo spectrum. The echo control profile is selected to further improve acoustic isolation for the selected microphone and speaker combination.

Abstract: A method and apparatus for adapting acoustic processing in a communication device, and capturing at least one acoustic signal using acoustic hardware of the communication device, characterizing an acoustic environment external to the communication device using the at least one captured acoustic signal, adapting acoustic processing within the communication device based on the characterized acoustic environment.