Abstract: A watch for detecting a voice command which includes a touchscreen, a microphone, a speaker, a memory, and a processor that is wirelessly connected to an earphone that includes an earphone microphone where at least one of the microphones are used to determine voice command.

Abstract: A method of generating a suppression signal using an adaptive filter, using an ear canal microphone signal from an earphone and an audio content signal and combining the suppression signal with others signals to generate a mixed signal that is sent to a speaker.

Abstract: The disclosure describes an earphone that include a biometric sensor, where the biometric sensor can detect levels of gas concentration. Where the gas levels are reported to a user if exceeding a threshold value and where the earphone includes a microphone, speaker, memory and a processor.

Abstract: At least one exemplary embodiment is directed to a method of generating a hearing impairment compensation function to process audio reproduced by an carphone device. The compensation function includes processing the audio to compensate for frequency sensitivity to improve speech intelligibility. Other embodiments are also described.

Abstract: An inspection assembly can comprise a first camera, a second camera, one or more lights, and a housing. The first camera can be angled at least partially in a vertical direction and at least partially in a horizontal direction to thereby be configured to capture images of a target region in a three-dimensional space from a first viewpoint. The second camera can be positioned apart from the first camera, angled at least partially in the vertical direction and at least partially in the horizontal direction, and directed to the target region from a second viewpoint that is different from the first viewpoint. The housing can comprise a base and a shroud and can be configured to attach to one or more rail ties and to at least partially envelop the first camera and the second camera.

Abstract: Railcar inspection systems, methods, and apparatuses are disclosed, including a railcar inspection portal. The railcar inspection portal includes a physical structure positioned around a railroad track, and through which a railcar can travel. The railcar inspection portal can include wheel detection sensors along the railroad track for detecting the presence of a railcar passing over the sensors. The sensors can transmit signals, corresponding to railcars passing over the sensors, to computing devices for determining railcar speeds. The railcar inspection portal can include imaging devices configured to capture images and readings of railcars passing through the inspection portal. Based on a determined speed corresponding to a passing railcar, the computing devices can control the imaging devices to capture specific areas or components of the passing railcar, or individual cars thereon.

Abstract: Railcar inspection systems, methods, and apparatuses are disclosed, including a railcar inspection portal. The railcar inspection portal includes a physical structure positioned around a railroad track, and through which a railcar can travel. The railcar inspection portal can include wheel detection sensors along the railroad track for detecting the presence of a railcar passing over the sensors. The sensors can transmit signals, corresponding to railcars passing over the sensors, to computing devices for determining railcar speeds. The railcar inspection portal can include imaging devices configured to capture images and readings of railcars passing through the inspection portal. Based on a determined speed corresponding to a passing railcar, the computing devices can control the imaging devices to capture specific areas or components of the passing railcar, or individual cars thereon.

Abstract: Assemblies, systems, and methods for inspecting vehicles are disclosed. An assembly can comprise a first angled camera, a second angled camera, an upright camera, lights, and a housing configured to attach to a railway between opposing rails. The first angled camera can be oriented at least partially in a vertical direction and at least partially in a first horizontal direction, and directed to a first target region from a first viewpoint. The second angled camera can be oriented at least partially in the vertical direction and at least partially in a second horizontal direction that is substantially opposite the first horizontal direction, and directed to a second target region from a second viewpoint. The upright camera can be oriented substantially in a vertical direction, and configured to capture images of a third target region from a third viewpoint.

Abstract: At least one exemplary embodiment is directed to a method and device for voice operated control with learning. The method can include measuring a first sound received from a first microphone, measuring a second sound received from a second microphone, detecting a spoken voice based on an analysis of measurements taken at the first and second microphone, learning from the analysis when the user is speaking and a speaking level in noisy environments, training a decision unit from the learning to be robust to a detection of the spoken voice in the noisy environments, mixing the first sound and the second sound to produce a mixed signal, and controlling the production of the mixed signal based on the learning of one or more aspects of the spoken voice and ambient sounds in the noisy environments.

Abstract: At least one exemplary embodiment is directed to a method of earphone feature control by using a graphic user interface on a device linked to the earphone.

Abstract: A method and device for automatically increasing the spectral bandwidth of an audio signal including generating a “mapping” (or “prediction”) matrix based on the analysis of a reference wideband signal and a reference narrowband signal, the mapping matrix being a transformation matrix to predict high frequency energy from a low frequency energy envelope, generating an energy envelope analysis of an input narrowband audio signal, generating a resynthesized noise signal by processing a random noise signal with the mapping matrix and the envelope analysis, high-pass filtering the resynthesized noise signal, and summing the high-pass filtered resynthesized noise signal with the input narrowband audio signal. Other embodiments are disclosed.

Abstract: A control device configurable to couple to one or more devices having different control functions and a method of facilitating remote control of at least one device having different control functions includes a processor that receives an instruction for at least one of the control functions and additional information from the at least one device, the processor including a plurality of processing algorithms, the additional information received from the at least one device including at least a locally transmitted data signal. The processor selectably processes the additional information using at least one of the processing algorithms and controls a touch sensitive display reconfigurable for the different control functions, such that the at least one control function and the selectably processed additional information are presented on the touch sensitive display. The processor also generates at least one control signal responsive to receiving the locally transmitted data signal. Other embodiments are disclosed.

Abstract: At least one exemplary embodiment is directed to a method of generating a hearing impairment compensation function to process audio reproduced by an earphone device. The compensation function includes processing the audio to compensate for frequency sensitivity to improve speech intelligibility.

Abstract: A system is described that includes a display configured to visually display a mixed visual signal and audio signal, which includes a camera, a first microphone, a second microphone, two speakers, memory, a processor, that displays a mixed visual signal and the speakers emit a mixed audio signal.

Abstract: At least one exemplary embodiment is directed to a method and device for voice operated control with learning. The method can include measuring a first sound received from a first microphone, measuring a second sound received from a second microphone, detecting a spoken voice based on an analysis of measurements taken at the first and second microphone, learning from the analysis when the user is speaking and a speaking level in noisy environments, training a decision unit from the learning to be robust to a detection of the spoken voice in the noisy environments, mixing the first sound and the second sound to produce a mixed signal, and controlling the production of the mixed signal based on the learning of one or more aspects of the spoken voice and ambient sounds in the noisy environments.

Abstract: At least one exemplary embodiment is directed to a communication device that includes a microphone configured to detect an acoustic signal from an acoustic environment, and a processor, configured to detect an acoustical dampening between the acoustic environment and the microphone, based on a change in a characteristic of the acoustic signal and, responsive to the acoustical dampening, apply a compensation filter to the acoustic signal to form a compensated acoustic signal that is reproduced. Other embodiments are disclosed.

Abstract: This disclosure provides methods, devices, and systems for audio signal processing. The present implementations more specifically relate to speech enhancement techniques that utilize multi-channel audio signals for audio source classification. In some aspects, a speech enhancement system may include an adaptive filter, a feature extractor, and a feature classifier. The adaptive filter is configured to receive a multi-channel audio signal, via at least a first microphone and a second microphone, and determine a relative impulse response (ReIR) between the microphones based on the multi-channel audio signal. The feature extractor is configured to extract a set of features from the ReIR based at least in part on a peak of the ReIR. The feature classifier is configured to classify the set of features as being associated with a target source or a distractor source based on a Gaussian mixture model (GMM).

Abstract: At least one exemplary embodiment is directed to a method of earphone feature control by using a graphic user interface on a device linked to the earphone.

Abstract: At least one exemplary embodiment is directed to a communication device that includes a microphone configured to detect an acoustic signal from an acoustic environment, and a processor, configured to detect an acoustical dampening between the acoustic environment and the microphone, based on a change in a characteristic of the acoustic signal and, responsive to the acoustical dampening, apply a compensation filter to the acoustic signal to form a compensated acoustic signal that is reproduced. Other embodiments are disclosed.

Abstract: At least one exemplary embodiment is directed to a method of earphone feature control by using a graphic user interface on a device linked to the earphone.