Abstract: A method comprises obtaining an audio input. The method also includes providing at least a portion of the audio input to a frame-level detector model. The method also includes obtaining a first output of the frame-level detector model including frame-level predictions associated with at least the portion of the audio input. The method also includes providing at least one chunked audio frame to a word-level verifier model. The method also includes obtaining a second output of the word-level verifier model including word-level probabilities associated with the at least one chunked audio frame. The method also includes instructing performance of automatic speech recognition on the audio input based on the word-level probabilities associated with the at least one chunked audio frame.

Abstract: A method includes accessing, using at least one processor of an electronic device, a machine learning model. The machine learning model is a trained student model that is trained using audio samples in a plurality of accent types. The method also includes receiving, using the at least one processor, an audio input from an audio input device. The method further includes providing, using the at least one processor, the audio input to the trained student model. The method also includes receiving, using the at least one processor, an output from the trained student model including frame-level probabilities associated with the audio input. In addition, the method includes instructing, using the at least one processor, at least one action based on the frame-level probabilities associated with the audio input.

Abstract: A method of generating a trained trigger word detection model includes training an auxiliary model, based on an auxiliary task, to concentrate on one or more utterances and/or learn context of the one or more utterances using generic single word and/or phrase training data: and obtaining a trigger word detection model by retraining one or more final layers of the auxiliary model, which is weighted based on the auxiliary task, based on a trigger word detection task that detects one or more trigger words. The retraining uses training data specific to the one or more trigger words.

Abstract: Disclosed are a method and apparatus for assisting in the physical wiring or debugging of connections between devices, which may include one or more network visibility appliances. In at least one embodiment, the computer system receives first user input that specifies a first port of a plurality of selectable physical ports or a connection between the first port and a second port of the plurality of selectable physical ports. At least one of the first port or the second port is on a device that is external to the computer system. In response to the first user input, the computer system sends a first signal to the device to trigger the device to output a first visual indication in proximity to the first port, the first visual indication identifying the first port and a status of at least one of the first port or the connection.

Abstract: Disclosed are a method and apparatus for assisting in the physical wiring or debugging of connections between devices, which may include one or more network visibility appliances. In at least one embodiment, the computer system receives first user input that specifies a first port of a plurality of selectable physical ports or a connection between the first port and a second port of the plurality of selectable physical ports. At least one of the first port or the second port is on a device that is external to the computer system. In response to the first user input, the computer system sends a first signal to the device to trigger the device to output a first visual indication in proximity to the first port, the first visual indication identifying the first port and a status of at least one of the first port or the connection.