Abstract: Techniques disclosed herein are directed towards streaming keyphrase detection which can be customized to detect one or more particular keyphrases, without requiring retraining of any model(s) for those particular keyphrase(s). Many implementations include processing audio data using a speaker separation model to generate separated audio data which isolates an utterance spoken by a human speaker from one or more additional sounds not spoken by the human speaker, and processing the separated audio data using a text independent speaker identification model to determine whether a verified and/or registered user spoke a spoken utterance captured in the audio data. Various implementations include processing the audio data and/or the separated audio data using an automatic speech recognition model to generate a text representation of the utterance.

Abstract: Techniques and apparatus for allowing a network fabric to accept network devices associated with other fabric networks are described. An example technique involves establishing a communication session between a first network node and a first control plane of the network fabric, wherein the first network node supports a second control plane different from the first control plane; First routing information from the first network node is imported into a first routing table of the first control plane. Second routing information from a second network node is imported into a second routing table of the first network node.

Abstract: The present disclosure relates to a system and method for actively detecting an ingress of a medical probe. In accordance with certain embodiments, a method includes monitoring, with a sensor within a medical probe, an internal environment of the medical probe, detecting, with the sensor, at least one of a temperature, pressure, humidity, or concentration of a gas within the medical probe, determining, with a processor that is in communication with the sensor, whether a seal that hermetically seals the medical probe has failed as a function of at least one of the temperature, pressure, humidity, or concentration of the gas, and outputting, with the processor, a notification that indicates whether the seal has failed.

Abstract: A stethoscope sterilization device is disclosed. A base unit adapted to accommodate a stethoscope. A diaphragm attachment assembled with the base unit, wherein the diaphragm attachment comprises an aperture, wherein the diaphragm attachment provides a surface for placing a diaphragm of the stethoscope. A heating element provided to heat the surface of the diaphragm to maintain a desirable temperature. A luminometer to monitor the diaphragm of the stethoscope for determining contamination in real-time. A dispensing unit positioned underneath the diaphragm attachment, wherein the dispensing unit is configured to dispense a disinfectant solution stored in a disinfectant reservoir over the surface of the diaphragm of the stethoscope for the sterilization via the aperture. A sponge placed over the base unit, wherein the sponge enables wiping off of excess disinfectant solution accumulated over the surface of the diaphragm of the stethoscope upon sterilization.

Abstract: The present disclosure relates to a system and method for actively detecting an ingress of a medical probe. In accordance with certain embodiments, a method includes monitoring, with a sensor within a medical probe, an internal environment of the medical probe, detecting, with the sensor, at least one of a temperature, pressure, humidity, or concentration of a gas within the medical probe, determining, with a processor that is in communication with the sensor, whether a seal that hermetically seals the medical probe has failed as a function of at least one of the temperature, pressure, humidity, or concentration of the gas, and outputting, with the processor, a notification that indicates whether the seal has failed.

Abstract: Technologies for localized audio enhancement of a three-dimensional video include capturing a three-dimensional video including depth data using a three-dimensional camera of a mobile computing device and receiving a three-dimensional audio associated with the three-dimensional video using a microphone array. A user may enhance localized audio by selecting a region of the three-dimensional image from the three-dimensional video. In response, the mobile computing device generates an audio component of the three-dimensional audio corresponding to the selected region based on depth data associated with the selected region. A user may subsequently enhance the audio component by, for example, increasing the volume of the audio component or increasing the clarity of the audio component.

Abstract: Technologies for localized audio enhancement of a three-dimensional video include capturing a three-dimensional video including depth data using a three-dimensional camera of a mobile computing device and receiving a three-dimensional audio associated with the three-dimensional video using a microphone array. A user may enhance localized audio by selecting a region of the three-dimensional image from the three-dimensional video. In response, the mobile computing device generates an audio component of the three-dimensional audio corresponding to the selected region based on depth data associated with the selected region. A user may subsequently enhance the audio component by, for example, increasing the volume of the audio component or increasing the clarity of the audio component.

Abstract: Technologies for localized audio enhancement of a three-dimensional video include capturing a three-dimensional video including depth data using a three-dimensional camera of a mobile computing device and receiving a three-dimensional audio associated with the three-dimensional video using a microphone array. A user may enhance localized audio by selecting a region of the three-dimensional image from the three-dimensional video. In response, the mobile computing device generates an audio component of the three-dimensional audio corresponding to the selected region based on depth data associated with the selected region. A user may subsequently enhance the audio component by, for example, increasing the volume of the audio component or increasing the clarity of the audio component.

Abstract: A method and tools for providing precise timing analysis scalable to industrial case studies with large numbers of tasks and messages are provided, including the capability to model and analyze task and message response times; ECU usage; bus usage; end-to-end latency of task/message chains; and timing synchronization problems in task/message graphs. System tasks and messages are modeled in a formalism known as calendar automaton. Models are written in a modeling language such as Promela and instrumented with code specific to the analysis specification. Models and instrumentation are automatically generated from the system description and analysis specification. The system model is subjected to exhaustive state space exploration by a compatible model checker, such as SPIN. During exploration, the instrumented code produces results for different timing analyses.

Abstract: An automatic test-case generation system generates test-cases for validating a test specification for timing constraints, fault tolerances, distributed deadlocks, and synchronization at a system integration level of a distributed system. The automatic test-case generation system includes a model transformer for integrating functional model and platform specification. The functional model relates to an abstract model of at least one controller and the platform specification relates to details of platform components. A test specification transformer integrates platform specification, real-time requirements, and structural coverage criteria for generating an enhanced test specification for testing the distributed system. A requirements transformer integrates real-time requirements and functional requirements for the distributed system.