Abstract: A tool for disconnecting solar PV module cable electrical connectors is configured to be used with different styles of electrical connectors, thereby being a universal tool. The tool has flat handle having a first section, a second section that is positioned at an angle to the first section, a first end having a pair of spaced apart parallel tines positioned at a right angle to the second section, and a third section terminating at a second end. The third body section tapering from wide to narrow in a direction from the first body portion toward the second end. The tines are specifically configured to cooperate with different styles of connectors to engage the latch fingers and depress the fingers, allowing the connector bodies to be separated.

Abstract: A method of detecting human voice activity includes determining a presence of human voice in a frame of audio signal using a plurality of features extracted from the frame of audio signal. The extracted features can include a number of zero-crossings, a periodicity metric, an energy ratio between a low frequency band and a high frequency band, and an envelope-to-floor ratio (EFR) in the frame of audio signal. Each of the features is associated with predefined criteria indicative of a presence of human voice, and based on comparisons of the features to the respective predefined criteria, the voice activity detector determines whether the frame of audio signal includes a human voice.

Abstract: An electronic device includes one or more microphones that generate audio signals and a wind noise detection subsystem. The electronic device may also include a wind noise reduction subsystem. The wind noise detection subsystem applies multiple wind noise detection techniques to the set of audio signals to generate corresponding indications of whether wind noise is present. The wind noise detection subsystem determines whether wind noise is present based on the indications generated by each detection technique and generates an overall indication of whether wind noise is present. The wind noise reduction subsystem applies one or more wind noise reduction techniques to the audio signal if wind noise is detected. The wind noise detection and reduction techniques may work in multiple domains (e.g., the time, spatial, and frequency domains).

Abstract: A method of detecting voice activity includes performing a video analysis on a frame of video signal to determine a position of a user in the frame and to identify one or more beams of a corresponding audio signal associated with a region including the position of the user. The identified one or more beams of audio signal are analyzed to determine whether voice is present in the frame. When a user is not identified during the video analysis of the frame of video signal, audio analysis is not performed on the corresponding frame of audio signal.

Abstract: An electronic device includes one or more microphones that generate audio signals and a wind noise detection subsystem. The electronic device may also include a wind noise reduction subsystem. The wind noise detection subsystem applies multiple wind noise detection techniques to the set of audio signals to generate corresponding indications of whether wind noise is present. The wind noise detection subsystem determines whether wind noise is present based on the indications generated by each detection technique and generates an overall indication of whether wind noise is present. The wind noise reduction subsystem applies one or more wind noise reduction techniques to the audio signal if wind noise is detected. The wind noise detection and reduction techniques may work in multiple domains (e.g., the time, spatial, and frequency domains).

Abstract: A method of detecting voice activity includes performing a video analysis on a frame of video signal to determine a position of a user in the frame and to identify one or more beams of a corresponding audio signal associated with a region including the position of the user. The identified one or more beams of audio signal are analyzed to determine whether voice is present in the frame. When a user is not identified during the video analysis of the frame of video signal, audio analysis is not performed on the corresponding frame of audio signal.