Abstract: An embodiment of a wake-on-intent speech recognition device includes technology to detect one or more keywords in a digital representation of a spoken natural language utterance, determine an intent of the spoken natural language utterance based on the detected keywords, and provide the spoken natural language utterance to a speech recognition and interpretation system if the determined intent is to further process the spoken natural language utterance. Other embodiments are disclosed and claimed.

Abstract: Apparatuses and methods for selecting, for communicating, between signals provided by various pickups on the basis of a calculated signal to noise ratio (SNR) are disclosed. The various pickups may include a microphone and a vibration sensor. Signals from the microphone may be compared with signals from the vibration sensor by extracting a root-mean-square (RMS) profile for each, and comparing the RMS profiles to determine an SNR estimate for the microphone signal. The microphone signal may be selected if the SNR estimate is below a predetermined threshold, otherwise the vibration sensor signal may be selected. The vibration sensor signal may be subject to further processing if selected to approximate the microphone signal.

Abstract: A head-mounted display (HMD) device includes one or more active shutters coupled to a synchronization module. The synchronization module includes a first photodiode configured to detect a synchronization signal for controlling operation of the one or more active shutters. The one or more active shutters are configured to alternate between an open state to pass light and a closed state to block light for reducing a duty cycle of a display screen of a mobile device positioned within the HMD device. The synchronization signal provides a timing to block light from the display screen for a display update duration corresponding to a subset of pixels of the display screen.

Abstract: Apparatuses and methods for transforming a signal from a vibration sensor into an approximation of a signal from a microphone are disclosed. The vibration sensor signal may be transformed by first obtaining a smooth average spectrum and corresponding deviation data for the vibration sensor signal. The smooth average spectrum may be passed through a mapping neural network to obtain a transformed smooth average spectrum that approximates a smooth average spectrum that would be obtained from a microphone. The transformed signal is then obtained by recombining the transformed smooth average spectrum with the deviation data.

Abstract: Methods, apparatus, systems, and articles of manufacture to detect the location of sound sources external to computing devices are disclosed. An apparatus, to determine a direction of a source of a sound relative to a computing device, includes a cross-correlation analyzer to generate a vector of values corresponding to a cross-correlation of first and second audio signals corresponding to the sound. The first audio signal is received from a first microphone of the computing device. The second audio signal is received from a second microphone of the computing device. The apparatus also includes a location analyzer to use a machine learning model and a set of the values of the vector to determine the direction of the source of the sound.

Abstract: A method for determining an architecture for a task neural network configured to perform a particular machine learning task is described.

Abstract: Methods, systems, and apparatus for audio noise reduction from a drone are disclosed. An example apparatus includes an acoustic sensor to gather acoustic data and at least one rotational motion sensor to gather rotational motion data of a first rotor and second rotational motion data of a second rotor. The example apparatus also includes an analyzer to identify a first filter that matches the first rotational motion data and identify a second filter that matches the second rotational motion data. The analyzer also is to filter the acoustic data into filtered acoustic data with the first identified filter and the second identified filter and generate an audio signal based on the filtered acoustic data.

Abstract: A system, apparatus, method, and computer program product for a speaking aid. The system including network interface circuitry to receive speech input from a user. The speech input includes a partial sentence with a missing word or the partial sentence with a stuttered word. The system also includes a processor coupled to the network interface circuitry and one or more memory devices coupled to the processor. The one or more memory devices include instructions, that when executed by the processor, cause the system to detect a stutter or pause in the speech input, predict the stuttered word or the missing word, present a predicted word from an n-best list to the user; and if a prompt is received from the user, present a next word from the n-best list until the user speaks a correct word to replace the stutter or the pause.

Abstract: A system, method, apparatus and computer readable medium for hierarchical speech recognition resolution. The method of hierarchical speech recognition resolution on a platform includes receiving a speech stream from a microphone. The speech stream is resolved using a lowest possible level automatic speech recognition (ASR) engine of multi-level ASR engines. The selection of the lowest possible level ASR engine is based on policies defined for the platform. If resolution of the speech stream is rated less than a predetermined confidence level, the resolution of the speech stream is pushed to a next higher-level ASR engine of the multi-level ASR engines until the resolution of the speech stream meets the predetermined confidence level without violating one or more policies.

Abstract: An embodiment of a semiconductor package apparatus may include technology to acquire vibration information corresponding to a speaker, and identify the speaker based on the vibration information. Other embodiments are disclosed and claimed.

Abstract: An example apparatus for generating dialogue includes an audio receiver to receive audio data including speech. The apparatus also includes a verification score generator to generate a verification score based on the audio data. The apparatus further includes a user detector to detect that the verification score exceeds a lower threshold but does not exceed a higher threshold. The apparatus includes a dialogue generator to generate dialogue to solicit additional audio data to be used to generate an updated verification score in response to detecting that the verification score exceeds a lower threshold but does not exceed a higher threshold.

Abstract: A wireless device and method detect a current signal strength of each of a number of wireless networks, determine an expected end-to-end data speed for each of the wireless networks using wireless network end-to-end data speed information that was historically compiled from prior connections with the wireless networks and using the detected current signal strength of each of the wireless networks. The wireless device and method connects to at least one wireless network based on the determined expected end-to-end data speed and/or provides a user interface that includes the determined expected end-to-end data speed and the detected signal strength indication of each of the wireless networks.

Abstract: A method for driving a liquid crystal display (LCD) panel includes sequentially buffering each row of pixel data of a first display image in a corresponding pixel row of the LCD panel. The method also includes activating a backlight of the LCD panel after the last row of pixel data of the first display image has been buffered at the last pixel row of the LCD panel but before liquid crystal settling of the last pixel row of the LCD panel has completed. The method also may include initiating sequential buffering of each row of pixel data of a second display image in a corresponding pixel row of the LCD panel prior to the liquid crystal settling of the last pixel row of the LCD panel completing, wherein activating the backlight of the LCD panel comprises activating the backlight while at least one pixel row of the LCD panel buffers a corresponding row of pixel data from the second display image and other pixel rows of the LCD panel buffer corresponding rows of pixel data from the first display image.

Abstract: A head-mounted display (HMD) device includes one or more active shutters coupled to a synchronization module. The synchronization module includes a first photodiode configured to detect a synchronization signal for controlling operation of the one or more active shutters. The one or more active shutters are configured to alternate between an open state to pass light and a closed state to block light for reducing a duty cycle of a display screen of a mobile device positioned within the HMD device. The synchronization signal provides a timing to block light from the display screen for a display update duration corresponding to a subset of pixels of the display screen.

Abstract: An embodiment of a spoken intent detection device includes technology to detect a phrase in an electronic representation of an audio stream based on a pre-defined vocabulary, associate a time stamp with the detected phrase, and classify a spoken intent based on a sequence of detected phrases and the respective associated time stamps. Other embodiments are disclosed and claimed.

Abstract: Methods, systems, and apparatus for audio noise reduction from a drone are disclosed. An example apparatus includes an acoustic sensor to gather acoustic data and at least one rotational motion sensor to gather rotational motion data of a first rotor and second rotational motion data of a second rotor. The example apparatus also includes an analyzer to identify a first filter that matches the first rotational motion data and identify a second filter that matches the second rotational motion data. The analyzer also is to filter the acoustic data into filtered acoustic data with the first identified filter and the second identified filter and generate an audio signal based on the filtered acoustic data.

Abstract: A system, article, and method of acoustic angle of arrival detection uses both same-time and delayed-time audio signal value comparisons in a time domain that are input to a classifier neural network.

Abstract: An embodiment of a wake-on-intent speech recognition device includes technology to detect one or more keywords in a digital representation of a spoken natural language utterance, determine an intent of the spoken natural language utterance based on the detected keywords, and provide the spoken natural language utterance to a speech recognition and interpretation system if the determined intent is to further process the spoken natural language utterance. Other embodiments are disclosed and claimed.

Abstract: Methods, systems, and apparatus for audio noise reduction from a drone are disclosed. An example apparatus includes a first sensor to gather acoustic data and a second sensor to gather rotational motion data of a rotor. The example apparatus also includes an analyzer to match the rotational motion data to a filter and filter the acoustic data using the filter. The analyzer also is to generate an audio signal based on the filtered acoustic data.

Abstract: A system and machine-implemented method of wireless network access are provided. An authentication request comprising credentials for a user account of a cloud-based service is received from a wireless client device. The authentication request is forwarded to a server associated with the cloud-based service for authentication of the user account credentials. A list of one or more network identifiers corresponding to networks for which access by the user account of the cloud-based service is authorized is received from the server. The received list of one or more network identifiers is sent to the wireless client device, wherein the received list of one or more network identifiers is sent to the wireless client device prior to the wireless client device being associated with the wireless local area network.