An alarm detection device includes: a sound receiver for receiving an external sound to output a first signal; a signal processing circuit coupled to the sound receiver, for receiving the first signal to output a second signal; and an alarm decision circuit coupled to the signal processing circuit, during a time range, when a number of the second signals meeting a trigger criteria is equal to a predetermined value, the alarm decision circuit outputting an alarm signal.

An alarm detection device includes: a sound receiver for receiving an external sound to output a first signal; a signal processing circuit coupled to the sound receiver, for receiving the first signal to output a second signal; and an alarm decision circuit coupled to the signal processing circuit, during a time range, when a number of the second signals meeting a trigger criteria is equal to a predetermined value, the alarm decision circuit outputting an alarm signal.

In one aspect, an example method to be performed by a vehicle-based media system includes (a) receiving audio content; (b) causing one or more speakers to output the received audio content; (c) using a microphone of the vehicle-based media system to capture the output audio content; (d) identifying reference audio content that has at least a threshold extent of similarity with the captured audio content; (e) identifying visual content based at least on the identified reference audio content; and (f) outputting, via a user interface of the vehicle-based media system, the identified visual content.

To enable accurately determining, based on a sound emitted by an inspection target, a classification of the sound. A control apparatus (1) according to an embodiment includes a classification information acquiring unit (13) that acquires classification information of a sound, a sound acquiring unit (11) that acquires a sound data including information of the sound, a storage unit (20) that stores definition data (25), an extraction unit (12) that extracts a plurality of features of the sound data, and a model construction unit (15) that constructs a learned model where machine learning, based on the plurality of features of the sound data and the classification information, on a correlation between the plurality of features and the classification of the sound is performed.

An artificial intelligence-based audio processing method includes: obtaining an audio clip of an audio scene, the audio clip including noise; performing audio scene classification processing based on the audio clip to obtain an audio scene type corresponding to the noise in the audio clip; and determining a target audio processing mode corresponding to the audio scene type, and applying the target audio processing mode to the audio clip of the audio scene according to a degree of interference caused by the noise in the audio clip.

Embodiments include an audio analyzer to analyze audio data received from a user computing system operating as a participant in a conference managed by a conferencing application and to detect one or audio pause conditions; a video analyzer to analyze video data received from the user computing system and to detect one or video pause conditions; and a conferencing manager to automatically pause distribution of the audio data to other participants of the conference when the one or more audio pause conditions are detected and automatically pause distribution of the video data to the other participants when the one or more video pause conditions are detected.

Embodiments include an audio analyzer to analyze audio data received from a user computing system operating as a participant in a conference managed by a conferencing application and to detect one or audio pause conditions; a video analyzer to analyze video data received from the user computing system and to detect one or video pause conditions; and a conferencing manager to automatically pause distribution of the audio data to other participants of the conference when the one or more audio pause conditions are detected and automatically pause distribution of the video data to the other participants when the one or more video pause conditions are detected.

A device for acoustic monitoring of a monitoring area includes first and second sensor systems which have first and second acoustic sensors, processors, and transmitter, respectively, and which may be mounted at different locations of the monitoring area. The first and second processors may be configured to classify first and second audio signals detected by the first and second acoustic sensors so as to obtain first and second classification results, respectively. The first and second transmitter may be configured to transmit the first and second classification results to a central evaluator, respectively. In addition, the device may include the central evaluator, which may be configured to receive the first classification result and to receive the second classification result, and to generate a monitoring output for the monitoring area as a function of the first classification result and the second classification result.

A device for acoustic monitoring of a monitoring area includes first and second sensor systems which have first and second acoustic sensors, processors, and transmitter, respectively, and which may be mounted at different locations of the monitoring area. The first and second processors may be configured to classify first and second audio signals detected by the first and second acoustic sensors so as to obtain first and second classification results, respectively. The first and second transmitter may be configured to transmit the first and second classification results to a central evaluator, respectively. In addition, the device may include the central evaluator, which may be configured to receive the first classification result and to receive the second classification result, and to generate a monitoring output for the monitoring area as a function of the first classification result and the second classification result.

A method for operating a voice trigger is provided. In some implementations, the method is performed at an electronic device including one or more processors and memory storing instructions for execution by the one or more processors. The method includes receiving a sound input. The sound input may correspond to a spoken word or phrase, or a portion thereof. The method includes determining whether at least a portion of the sound input corresponds to a predetermined type of sound, such as a human voice. The method includes, upon a determination that at least a portion of the sound input corresponds to the predetermined type, determining whether the sound input includes predetermined content, such as a predetermined trigger word or phrase. The method also includes, upon a determination that the sound input includes the predetermined content, initiating a speech-based service, such as a voice-based digital assistant.