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 system and method provides for multibeam keyword detection. A composite audio signal may include sound components. The system and method groups the sound components into subsets based on the angles of arrival of sound components. Keyword detectors evaluate each subset and determine whether a keyword is present.

Abstract: The present invention may provide a small RNA detection sensor comprising: at one end thereof, a first sensing region comprising nucleotides having a sequence complementary to target small RNA; and a PCR-capable region that is coupled to the first sensing region, the small RNA detection sensor to synthesize a replication region complementary to the PCR-capable region by a DNA polymerase by using the target small RNA as a primer, and amplify the PCR-capable region and the replication region.

Abstract: A Convolutional Neural Network (CNN) assisted dielectric imaging method is provided. The method used CNN to incorporate the abundant image information from Magnetic Resonance (MR) images into the inverse scattering model-based microwave imaging process and generate high-fidelity dielectric images. A CNN is designed and trained to learn the complex mapping function from MR T1 images to dielectric images. Once trained, the new patients' MR T1 images are fed into the CNN to generate predicted dielectric images, which are used as the starting image for the microwave inverse scattering imaging. The CNN-predicted dielectric image significantly reduces the non-linearity and ill-posedness of the inverse scattering problem. The application of the proposed method to recover human brain dielectric images at 4 mm and 2 mm resolution with single-frequency and multi-frequency microwave measurements is provided.

Abstract: A human expert may initially label a white light image of teeth, and computer vision may initially label a filtered fluorescent image of the same teeth. Each label may indicate presence or absence of dental plaque at a pixel. The images may be registered. For each pixel of the registered images, a union label may be calculated, which is the union of the expert label and computer vision label. The union labels may be applied to the white light image. This process may be repeated to create a training set of union-labeled white light images. A classifier may be trained on this training set. Once trained, the classifier may classify a previously unseen white light image, by predicting union labels for that image. Alternatively, the items that are initially labeled may comprise images captured by two different imaging modalities, or may comprise different types of sensor measurements.

Abstract: Drug products adapted for nasal delivery comprising formulations with epinephrine and devices comprising such formulations are provided. Methods of treating anaphylaxis with epinephrine products are also provided.

Abstract: A human expert may initially label a white light image of teeth, and computer vision may initially label a filtered fluorescent image of the same teeth. Each label may indicate presence or absence of dental plaque at a pixel. The images may be registered. For each pixel of the registered images, a union label may be calculated, which is the union of the expert label and computer vision label. The union labels may be applied to the white light image. This process may be repeated to create a training set of union-labeled white light images. A classifier may be trained on this training set. Once trained, the classifier may classify a previously unseen white light image, by predicting union labels for that image. Alternatively, the items that are initially labeled may comprise images captured by two different imaging modalities, or may comprise different types of sensor measurements.

Abstract: A system and method provides for unwanted keyword detection abatement. For instance, a playback signal corresponding to an output audio signal is received and checked for presence of a playback keyword. A blocking window is activated upon detection of the playback keyword. Based at least partially on the blocking window being activated, keywords present in an input audio signal are ignored because those keywords are likely to be included in the playback signal, rather than a genuine instruction from a user.

Abstract: Systems and methods for tracking a probe during a procedure. In one embodiment, the method includes monitoring a position of the probe in an imaging region during the procedure using microwave inverse scattering and contrast source inversion. The method also includes solving for a contrast source in the imaging region using compressive sensing and group sparsity. The contrast source exists at a surface of the probe or within the probe. The method further includes imaging the contrast source and the probe by solving a linear inverse scattering problem with a group sparsity constraint. The method also includes determining a location of the probe in the imaging region during the procedure based on the imaging of the contrast source and the probe. The method further includes displaying an image of the location of the probe relative to an anatomy feature in the imaging region during the procedure.

Abstract: Drug products adapted for nasal delivery comprising formulations with epinephrine and devices comprising such formulations are provided. Methods of treating anaphylaxis with epinephrine products are also provided.

Abstract: A switch assembly includes an automatic type 11 switch having 1 and 2 contacts and 3 and 4 contacts with the 2 and 3 contacts being shorted together, configured to respond to a water level of a boiler, short the 1 and 2 contacts when the water level is high, short the 3 and 4 contacts when the water level is low; and an electronic circuit board having a processor configured to sense signaling containing information about the 1, 2/3 and 4 contacts, and provide control signaling containing information about the water level of the boiler. The electronic circuit board also includes a relay configured to respond to the control signaling, and turn the relay on/off.

Abstract: A method for estimating directions of arrival of audio signals based on categories is disclosed herein. The method includes receiving an audio signal; generating a plurality of filters based on the audio signal, each of the filters corresponding to one of a plurality of sound content categories; separating the audio signal into a plurality of content-based audio signals by applying the filters to the audio signal, each of the content-based audio signals contains a content of a corresponding sound content category among the plurality of sound content categories; for each of the content-based audio signals, generating a direction of arrival (DOA) for a sound source of the content-based audio signal.

Abstract: Drug products adapted for nasal delivery comprising formulations with epinephrine and devices comprising such formulations are provided. Methods of treating anaphylaxis with epinephrine products are also provided.

Abstract: Drug products adapted for nasal delivery comprising formulations with epinephrine and devices comprising such formulations are provided. Methods of treating anaphylaxis with epinephrine products are also provided.

Abstract: Drug products adapted for nasal delivery comprising formulations with epinephrine and devices comprising such formulations are provided. Methods of treating anaphylaxis with epinephrine products are also provided.

Abstract: The present embodiments are directed to removing echo from an audio signal using a two-stage process. The first stage aims at removing the linear portion of the echo signal that is representative of the acoustic propagation path between a loudspeaker and a microphone, for example. The second stage focuses on removing or suppressing any remaining or residual echo in the audio signal. The residual echo can include both residual linear echo and nonlinear contributions from the system, such as nonlinear echo produced by loudspeakers, amplifiers, microphones or even the body of the device itself. According to certain additional aspects, the echo cancellation and suppression techniques of the embodiments are built on a data-driven approach, where models are trained in both an offline and online process to assist in the detection and suppression of various forms of echo that can exist in a particular near-end environment.

Abstract: A method for estimating directions of arrival of audio signals based on categories is disclosed herein. The method includes receiving an audio signal; generating a plurality of filters based on the audio signal, each of the filters corresponding to one of a plurality of sound content categories; separating the audio signal into a plurality of content-based audio signals by applying the filters to the audio signal, each of the content-based audio signals contains a content of a corresponding sound content category among the plurality of sound content categories; for each of the content-based audio signals, generating a direction of arrival (DOA) for a sound source of the content-based audio signal.