Abstract: In a particular aspect, a speech generator includes a signal input configured to receive a first audio signal. The speech generator also includes at least one speech signal processor configured to generate a second audio signal based on information associated with the first audio signal and based further on automatic speech recognition (ASR) data associated with the first audio signal.

Abstract: A drone system and method. Audio signals are received via one or more microphones positioned relative to a location on a drone and one or more of the audio signals are identified as of interest. Flight characteristics of the drone are then controlled based on the audio signals that are of interest.

Abstract: In a particular aspect, an apparatus includes an audio sensor configured to receive an input audio signal. The apparatus also includes speech generative circuitry configured to generate a synthesized audio signal based at least partly on automatic speech recognition (ASR) data associated with the input audio signal and based on one or more parameters indicative of state information associated with the input audio signal.

Abstract: An electronic device includes a display, wherein the display is configured to present a user interface, wherein the user interface comprises a coordinate system. The coordinate system corresponds to physical coordinates. The display is configured to present a sector selection feature that allows selection of at least one sector of the coordinate system. The at least one sector corresponds to captured audio from multiple microphones. The sector selection may also include an audio signal indicator. The electronic device includes operation circuitry coupled to the display. The operation circuitry is configured to perform an audio operation on the captured audio corresponding to the audio signal indicator based on the sector selection.

Abstract: An apparatus includes one or more sensor units configured to detect non-audible sensor data associated with a user. The apparatus also includes a processor, including an action determination unit, coupled to the one or more sensors units. The processor is configured to generate a descriptive text-based input based on the non-audible sensor data. The processor is also configured to determine an action to be performed based on the descriptive text-based input.

Abstract: Various embodiments provide systems and methods which disclose a command device which can be used to establish a wireless connection, through one or more wireless channels, between the command device and a remote device. An intention code may be generated, prior to, or after, the establishment of the wireless connection, and the remote device may be selected based on the intention code. The command device may initiate a wireless transfer, through one or more wireless channels of the established wireless connection, of an intention code, and receive acknowledgement that the intention code was successfully transferred to the remote device. The command device may then control the remote device, based on the intention code sent to the remote device, through the one or more wireless channels of the established wireless connection between the command device and the remote device.

Abstract: A method for evaluating strength of an audio password by an electronic device is described. The method includes obtaining an audio signal captured by one or more microphones. The audio signal includes an audio password. The method also includes evaluating the strength of the audio password based on measuring one or more unique characteristics of the audio signal. The method further includes informing a user that the audio password is weak based on the evaluation of the strength of the audio password.

Abstract: An electronic device includes a classifier circuit, a ranking circuit, and a data generator circuit. The classifier circuit is configured to determine, based on first data indicating samples of sounds detected at a plurality of geographic locations, a plurality of acoustic event classifications associated with the plurality of geographic locations. The ranking circuit is configured to determine a plurality of index scores associated with the plurality of geographic locations by ranking each of the plurality of geographic locations based on the plurality of acoustic event classifications. The data generator circuit is configured to generate, based on the plurality of index scores, second data indicating a geographic map corresponding to the plurality of geographic locations. The second data further indicates the plurality of index scores and a prompt to enable a search for a particular type of acoustic event.

Abstract: A method for displaying a user interface on an electronic device is described. The method includes presenting a user interface. The user interface includes a coordinate system. The coordinate system corresponds to physical coordinates based on sensor data. The method also includes providing a sector selection feature that allows selection of at least one sector of the coordinate system. The method further includes providing a sector editing feature that allows editing the at least one sector.

Abstract: Disclosed is an application interface that takes into account the user's gaze direction relative to who is speaking in an interactive multi-participant environment where audio-based contextual information and/or visual-based semantic information is being presented. Among these various implementations, two different types of microphone array devices (MADs) may be used. The first type of MAD is a steerable microphone array (a.k.a. a steerable array) which is worn by a user in a known orientation with regard to the user's eyes, and wherein multiple users may each wear a steerable array. The second type of MAD is a fixed-location microphone array (a.k.a. a fixed array) which is placed in the same acoustic space as the users (one or more of which are using steerable arrays).

Abstract: A method of processing audio may include receiving, by a computing device, a plurality of real-time audio signals outputted by a plurality of microphones communicatively coupled to the computing device. The computing device may output to a display a graphical user interface (GUI) that presents audio information associated with the received audio signals. The one or more received audio signals may be processed based on a user input associated with the audio information presented via the GUI to generate one or more processed audio signals. The one or more processed audio signals may be output to, for example, one or more output devices such as speakers, headsets, and the like.

Abstract: In a particular aspect, an apparatus includes an audio sensor configured to receive an input audio signal. The apparatus also includes speech generative circuitry configured to generate a synthesized audio signal based at least partly on automatic speech recognition (ASR) data associated with the input audio signal and based on one or more parameters indicative of state information associated with the input audio signal.

Abstract: A method of processing audio may include receiving, by a computing device, a plurality of real-time audio signals outputted by a plurality of microphones communicatively coupled to the computing device. The computing device may output to a display a graphical user interface (GUI) that presents audio information associated with the received audio signals. The one or more received audio signals may be processed based on a user input associated with the audio information presented via the GUI to generate one or more processed audio signals. The one or more processed audio signals may be output to, for example, one or more output devices such as speakers, headsets, and the like.

Abstract: A method of authenticating a user based on voice recognition of a keyword includes generating, at a processor, clean speech statistics. The clean speech statistics are generated from an audio recording of the keyword spoken by the user during an enrollment phase. The method further includes separating speech data and noise data from noisy input speech using the clean speech statistics during an authentication phase. The method also includes authenticating the user by comparing the speech data to the clean speech statistics or by comparing the noisy input speech to noisy speech statistics. The noisy speech statistics are based at least in part on the noise data.

Abstract: An apparatus includes a speech processing engine configured to receive data corresponding to speech and to determine whether a first characteristic associated with the speech differs from a reference characteristic by at least a threshold amount. The apparatus further includes a selection circuit responsive to the speech processing engine. The selection circuit is configured to select a particular speech codebook from among a plurality of speech codebooks based on the first characteristic differing from the reference characteristic by at least the threshold amount. The particular speech codebook is associated with the first characteristic.

Abstract: A vehicle includes an interface device, an in-vehicle control unit, a functional unit, and a processing circuitry. The interface device receives a spoken command to identify an in-cabin vehicle zone of two or more in-cabin vehicle zones of the vehicle, and receives background audio data concurrently with a portion of the spoken command. The in-cabin vehicle control unit separates the background audio data from the spoken command, and selects which in-cabin vehicle zone of the two or more in-cabin vehicle zones is identified by the spoken command. The functional unit controls a function within the vehicle. The processing circuitry stores, to a command buffer, data processed from the received spoken command, and controls, based on the data processed from the received spoken command, the functional unit using audio input received from the selected in-cabin vehicle zone.

Abstract: Adaptations for in-vehicle adaptive noise-canceling (ANC) technology are described. An example in-vehicle audio system includes ANC circuitry coupled to one or more error microphones. The ANC circuitry being configured to process audio data received from the one or more error microphones to determine a distinction between the engine-external noise and the engine noise. The ANC circuitry is further configured to alter, based on the distinction determined between the engine-external noise and the engine noise, a convergence between two or more ANC filters to form altered-convergence ANC filtering coefficients.

Abstract: A method of performing noise reduction includes capturing a first audio signal at a first microphone of a first device. The method also includes receiving, at the first device, audio data representative of a second audio signal from a second device. The second audio signal is captured by a second microphone of the second device. The method further includes performing noise reduction on the first audio signal based at least in part on the audio data representative of the second audio signal.

Abstract: A method for speech modeling by an electronic device is described. The method includes obtaining a real-time noise reference based on a noisy speech signal. The method also includes obtaining a real-time noise dictionary based on the real-time noise reference. The method further includes obtaining a first speech dictionary and a second speech dictionary. The method additionally includes reducing residual noise based on the real-time noise dictionary and the first speech dictionary to produce a residual noise-suppressed speech signal at a first modeling stage. The method also includes generating a reconstructed speech signal based on the residual noise-suppressed speech signal and the second speech dictionary at a second modeling stage.

Abstract: A system includes a memory configured to store data associated with a service that is available. The system also includes a microphone associated with an acoustic space and configured to receive an audio input produced by a person. The system further includes a sensor located within the acoustic space and configured to detect vibrations produced by the person. The system includes a processor coupled to the memory, to the microphone, and to the sensor. The processor is configured to conditionally authorize execution of the service requested by the person, the service conditionally authorized based on the audio input and the vibrations.