Robert Boschgmbh

Luca Bondi

Samarjit Das

Shabnam Ghaffarzadegan

Irtsam Ghazi

A system for automatically selecting a sound recognition model for an environment based on audio data and image data associated with the environment. The system includes a camera, a microphone, a memory including a plurality of sound recognition models, and an electronic processor. The electronic processor is configured to receive the audio data associated with the environment from the microphone, receive the image data associated with the environment from the camera, and determine one or more characteristics of the environment based on the audio data and the image data. The electronic processor is also configured to select the sound recognition model from the plurality of sound recognition models based on the one or more characteristics of the environment, receive additional audio data associated with the environment from the microphone, and analyze the additional audio data using the sound recognition model to perform a sound recognition task.

Automatically selecting a sound recognition model for an environment based on audio data and image data associated with the environment

A method data augmentation includes receiving audio stream data associated with at least one impulse event, receiving a label associated with the audio stream data, and detecting, using an onset detector, at least one peak of the at least one impulse event. The method also includes extracting at least one positive sample of the audio stream data associated with the at least one impulse event. The method also includes applying, to the at least one positive sample, the label associated with the audio stream data and extracting at least one negative sample of the audio stream data associated with the at least one impulse event. The method also includes augmenting training data based on the at least one positive sample and the at least one negative sample and training at least one machine-learning model using the augmented training data.

Systems and methods for false positive mitigation in impulsive sound detectors

A method includes receiving audio stream data associated with a data capture environment, and receiving sensor data associated with the data capture environment. The method also includes identifying at least some events in the sensor data, and calculating at least one offset value for at least a portion of the audio stream data that corresponds to at least one event of the sensor data. The method also includes synchronizing at least a portion of the sensor data associated with the portion of the audio stream data that corresponds to the at least one event of the sensor data, and labeling at least the portion of the audio stream data that corresponds to the at least one event of the sensor data. The method also includes generating training data using at least some of the labeled portion of the audio stream data, and training a machine learning model using the training data.

Systems and methods for automatic alignment between audio recordings and labels extracted from a multitude of asynchronous sensors in urban settings

A method for labeling audio data includes receiving video stream data and audio stream data that corresponds to at least a portion of the video stream data. The method also includes labeling, at least some objects of the video stream data. The method also includes calculating at least one offset value for at least a portion of the audio stream data that corresponds to at least one labeled object of the video stream data. The method also includes synchronizing at least a portion of the video stream data with the portion of the audio stream data. The method also includes labeling at least the portion of the audio stream data that corresponds to the at least one labeled object of the video stream data and generating training data using at least some of the labeled portion of the audio stream data.

Systems and methods for automatic extraction and alignment of labels derived from camera feed for moving sound sources recorded with a microphone array

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Pittsburgh, PA, United States of America

Luca Bondi