Abstract: An acoustic sensor assembly that produces an electrical signal representative of an acoustic signal, includes an acoustic transduction element disposed in a housing and acoustically, a heat source causing air pressure variations within the housing when energized, and an electrical circuit electrically coupled to the acoustic transduction element and to contacts on an external-device interface of the housing, wherein the electrical circuit is configured to energize the heat source and determine a non-acoustic condition or change therein based on an amplitude of air pressure variations detected by the acoustic transduction element.

Abstract: An acoustic sensor assembly that produces an electrical signal representative of an acoustic signal, includes an acoustic transduction element disposed in a housing and acoustically, a heat source causing air pressure variations within the housing when energized, and an electrical circuit electrically coupled to the acoustic transduction element and to contacts on an external-device interface of the housing, wherein the electrical circuit is configured to energize the heat source and determine a non-acoustic condition or change therein based on an amplitude of air pressure variations detected by the acoustic transduction element.

Abstract: Methods and systems are disclosed herein for improvements relating to compressed automatic speech recognition (ASR) systems. The ASR system may comprise a compressed acoustic engine and an adaptive decoder. The adaptive decoder may be dynamically compiled based on characteristics of the compressed acoustic engine and a current state of the application device. In some embodiments, a dynamic command list is used to manage context-specific commands. Two or more commands recognized by the adaptive decoder may be confusable due to compression of the ASR system. Alternate commands may be determined that are semantically equivalent but phonetically different than the confusable commands to reduce classification error of the adaptive decoder. An alternate command may replace one or more of the confusable commands in the adaptive decoder. In some embodiments, a user interface is displayed to a user of the ASR system to select the alternate command for replacement in the decoder.

Abstract: Various methods, systems, and apparatus are disclosed with improved imposter rejection for keyword recognition systems in a wearable device. Speech signals are measured by a microphone and a vibration sensor, the vibration sensor configured to measure vibrations in the body of a wearer of the device. An audio signal from the microphone and a vibration signal from the vibration sensor are input into a classifier to determine whether the wearer of the device spoke the keyword. In some embodiments, high-frequency components of a signal from the microphone may be combined with low-frequency components of a signal from the vibration sensor to generate a combined speech signal. The classifier may use a classification model trained with positive training data of the wearer speaking the keyword and negative training data of a non-wearer speaking the keyword.

Abstract: Systems and methods are disclosed for processing audio for an electronic device, the electronic device including an integrated speech enhanced voice trigger module that can provide an improvement over existing voice trigger modules by effectively combining together voice trigger techniques and speech enhancement techniques. In various embodiments, the integrated speech enhanced voice trigger module is configured to reduce mismatches in types and levels of noise that are encountered during both voice trigger training and runtime. This can result in a higher true positive rate (TPR), a lower false alarm (FA), and a lower impostor acceptance rate (IAR). The disclosed integrated speech enhanced voice trigger module can be used be used with an electronic device having a single microphone or a plurality of microphones.

Abstract: A touch sensitive device including a front panel having a touch surface and a back surface opposite the touch surface. The touch sensitive device further includes one or more vibration transducers mounted to the back surface, and a controller electronically connected to the vibration transducer. The controller receives, from the vibration transducer, a vibration signal, extracts feature information corresponding to predetermined features from the vibration signal, determines, based on the feature information, that a touch occurred within a predefined area of the touch surface, and outputs a signal indicating that the touch occurred within the predefined area of the touch surface.