Abstract: Various embodiments are generally directed to an apparatus, method and other techniques for detecting, by one or more sensor components, at least one sensor input, and executing, by logic, at least one instruction to cause an event on a wearable wireless device, the event comprising at least one of a change in a physical parameter on the wearable wireless device and a wireless communication with a computing device via a transceiver.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed for distributed automatic speech recognition. An example apparatus includes a detector to process an input audio signal and identify a portion of the input audio signal including a sound to be evaluated, the sound to be evaluated organized into a plurality of audio features representing the sound. The example apparatus includes a quantizer to process the audio features using a quantization process to reduce the audio features to generate a reduced set of audio features for transmission. The example apparatus includes a transmitter to transmit the reduced set of audio features over a low-energy communication channel for processing.

Abstract: Various embodiments are generally directed to an apparatus, method and other techniques for detecting, by one or more sensor components, at least one sensor input, and executing, by logic, at least one instruction to cause an event on a wearable wireless device, the event comprising at least one of a change in a physical parameter on the wearable wireless device and a wireless communication with a computing device via a transceiver.

Abstract: Various embodiments are generally directed to an apparatus, method and other techniques for detecting, by one or more sensor components, at least one sensor input, and executing, by logic, at least one instruction to cause an event on a wearable wireless device, the event comprising at least one of a change in a physical parameter on the wearable wireless device and a wireless communication with a computing device via a transceiver.

Abstract: Various embodiments are generally directed to an apparatus, method and other techniques for detecting, by one or more sensor components, at least one sensor input, and executing, by logic, at least one instruction to cause an event on a wearable wireless device, the event comprising at least one of a change in a physical parameter on the wearable wireless device and a wireless communication with a computing device via a transceiver.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed for distributed automatic speech recognition. An example apparatus includes a detector to process an input audio signal and identify a portion of the input audio signal including a sound to be evaluated, the sound to be evaluated organized into a plurality of audio features representing the sound. The example apparatus includes a quantizer to process the audio features using a quantization process to reduce the audio features to generate a reduced set of audio features for transmission. The example apparatus includes a transmitter to transmit the reduced set of audio features over a low-energy communication channel for processing.

Abstract: Various embodiments are generally directed to an apparatus, method and other techniques for detecting, by one or more sensor components, at least one sensor input, and executing, by logic, at least one instruction to cause an event on a wearable wireless device, the event comprising at least one of a change in a physical parameter on the wearable wireless device and a wireless communication with a computing device via a transceiver.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed for distributed automatic speech recognition. An example apparatus includes a detector to process an input audio signal and identify a portion of the input audio signal including a sound to be evaluated, the sound to be evaluated organized into a plurality of audio features representing the sound. The example apparatus includes a quantizer to process the audio features using a quantization process to reduce the audio features to generate a reduced set of audio features for transmission. The example apparatus includes a transmitter to transmit the reduced set of audio features over a low-energy communication channel for processing.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed for distributed automatic speech recognition. An example apparatus includes a detector to process an input audio signal and identify a portion of the input audio signal including a sound to be evaluated, the sound to be evaluated organized into a plurality of audio features representing the sound. The example apparatus includes a quantizer to process the audio features using a quantization process to reduce the audio features to generate a reduced set of audio features for transmission. The example apparatus includes a transmitter to transmit the reduced set of audio features over a low-energy communication channel for processing.

Abstract: A touchpad system is disclosed herein that includes a touchpad sensor formed from a plurality of flexible materials and is at least partially integrated into host clothing or furniture such that the touchpad sensor is generally obscured from view. The touchpad sensor may be implemented as a resistive or capacitive touchpad, whereby user input is detected and converted into a proportional electrical signal. The touchpad sensor may include N layers of flexible materials configured to conduct electrical energy, and also conform to contours of a host object. At least one layer of the flexible materials may be heat sealed or otherwise adhered to an inner surface of the host object, such as beneath a shirt sleeve. Thus smart clothing/furniture may appear to be “normal” while also providing convenient user-access to a touchpad sensor that can robustly handle a wide variety of user-input to control operation of a remote computing device.

Abstract: Technologies are described herein that allow a user to wake up a computing device operating in a low-power state and for the user to be verified by speaking a single wake phrase. Wake phrase recognition is performed by a low-power engine. In some embodiments, the low-power engine may also perform speaker verification. In other embodiments, the mobile device wakes up after a wake phrase is recognized and a component other than the low-power engine performs speaker verification on a portion of the audio input comprising the wake phrase. More than one wake phrases may be associated with a particular user, and separate users may be associated with different wake phrases. Different wake phrases may cause the device transition from a low-power state to various active states.

Abstract: A touchpad system is disclosed herein that includes a touchpad sensor formed from a plurality of flexible materials and is at least partially integrated into host clothing or furniture such that the touchpad sensor is generally obscured from view. The touchpad sensor may be implemented as a resistive or capacitive touchpad, whereby user input is detected and converted into a proportional electrical signal. The touchpad sensor may include N layers of flexible materials configured to conduct electrical energy, and also conform to contours of a host object. At least one layer of the flexible materials may be heat sealed or otherwise adhered to an inner surface of the host object, such as beneath a shirt sleeve. Thus smart clothing/furniture may appear to be “normal” while also providing convenient user-access to a touchpad sensor that can robustly handle a wide variety of user-input to control operation of a remote computing device.

Abstract: Technologies are described herein that allow a user to wake up a computing device operating in a low-power state and for the user to be verified by speaking a single wake phrase. Wake phrase recognition is performed by a low-power engine. in some embodiments, the low-power engine may also perform speaker verification. In other embodiments, the mobile device wakes up after a wake phrase is recognized and a component other than the low-power engine performs speaker verification on a portion of the audio input comprising the wake phrase, More than one wake phrases may be associated with a particular user, and separate users may be associated with different wake phrases. Different wake phrases may cause the device transition from a low-power state to various active states.

Abstract: Technologies are described herein that allow a user to wake up a computing device operating in a low-power state and for the user to be verified by speaking a single wake phrase. Wake phrase recognition is performed by a low-power engine. In some embodiments, the low-power engine may also perform speaker verification. In other embodiments, the mobile device wakes up after a wake phrase is recognized and a component other than the low-power engine performs speaker verification on a portion of the audio input comprising the wake phrase. More than one wake phrases may be associated with a particular user, and separate users may be associated with different wake phrases. Different wake phrases may cause the device transition from a low-power state to various active states.

Abstract: Systems and methods may provide for using an audio front end of a mobile device to sampled audio from an audio signal during a first portion of a periodic detection window, and reducing a power consumption of one or more components of the audio front end during a second portion of the periodic detection window. Additionally, a determination may be made as to whether voice activity is present in the audio signal based at least in part on the sampled audio. In one example, the length of the first portion and the length of the second portion are defined by a duty cycle of the periodic detection window.

Abstract: Technologies are described herein that allow a user to wake up a computing device operating in a low-power state and for the user to be verified by speaking a single wake phrase. Wake phrase recognition is performed by a low-power engine. In some embodiments, the low-power engine may also perform speaker verification. In other embodiments, the mobile device wakes up after a wake phrase is recognized and a component other than the low-power engine performs speaker verification on a portion of the audio input comprising the wake phrase. More than one wake phrases may be associated with a particular user, and separate users may be associated with different wake phrases. Different wake phrases may cause the device transition from a low-power state to various active states.

Abstract: Various embodiments are generally directed to an apparatus, method and other techniques for detecting, by one or more sensor components, at least one sensor input, and executing, by logic, at least one instruction to cause an event on a wearable wireless device, the event comprising at least one of a change in a physical parameter on the wearable wireless device and a wireless communication with a computing device via a transceiver.

Abstract: Systems and methods may provide for using an audio front end of a mobile device to sampled audio from an audio signal during a first portion of a periodic detection window, and reducing a power consumption of one or more components of the audio front end during a second portion of the periodic detection window. Additionally, a determination may be made as to whether voice activity is present in the audio signal based at least in part on the sampled audio. In one example, the length of the first portion and the length of the second portion are defined by a duty cycle of the periodic detection window.