48 results about "Sound event detection" patented technology

The invention discloses a method for estimating at-home activities of elderly people living alone based on sound event detection. The method comprises the following steps that firstly, a pickup arrayis placed in the indoor space for collecting multi-channel audio data and pre-processing the audio data, wherein pre-processing comprises framing and windowing; then log Mel spectrum features are extracted from the audio data in each channel, direction of arrival (DOA) space spectrum features are extracted from the audio data in all the channels, and the log Mel spectrum features and the DOA spacespectrum features are spliced; then, the spliced features are input a convolutional neural network for feature transformation; and finally, the transformed features are input into a convolutional neural network classifier, and the type of the activities is estimated. According to the method, the spectrum features and transformed features are extracted from the multi-channel audio data, the diversity of training data can be improved, the generalization ability of the convolutional neural network classifier is effectively improved, and when the at-home activities of elderly people are estimated, the higher accuracy rate can be obtained.

A device includes a processor configured to receive audio data samples and provide the audio data samples to a first neural network to generate a first output corresponding to a first set of sound classes. The processor is further configured to provide the audio data samples to a second neural network to generate a second output corresponding to a second set of sound classes. A second count of classes of the second set of sound classes is greater than a first count of classes of the first set of sound classes. The processor is also configured to provide the first output to a neural adapter to generate a third output corresponding to the second set of sound classes. The processor is further configured to provide the second output and the third output to a merger adapter to generate sound event identification data based on the audio data samples.

A system and method for the use of sensors and processors of existing, distributed systems, operating individually or in cooperation with other systems, networks or cloud-based services to enhance the detection and classification of sound events in an environment (e.g., a home), while having low computational complexity. The system and method provides functions where the most relevant features that help in discriminating sounds are extracted from an audio signal and then classified depending on whether the extracted features correspond to a sound event that should result in a communication to a user. Threshold values and other variables can be determined by training on audio signals of known sounds in defined environments, and implemented to distinguish human and pet sounds from other sounds, and compensate for variations in the magnitude of the audio signal, different sizes and reverberation characteristics of the environment, and variations in microphone responses.

The invention discloses a sound event detection method and device, a storage medium and an electronic device. The sound event detection method comprises the following steps: acquiring target feature segmentation of a target audio so as to obtain N sub-target features; respectively inputting the sub-target features with the same score in the N sub-target features into corresponding M target sound detection models to obtain M positive example score sequences, performing enhancement processing on first sample features of multiple sample audios based on a spectrogram and a time domain in a training process of each target sound detection model to obtain second sample features, and training M sound detection models through the first sample features and the second sample features, wherein M is a positive integer greater than or equal to 1; averaging and fusing the M positive example score sequences; and determining the detection result of the target audio according to a target fusion positive example score sequence. Thus, the technical problem of low accuracy of a sound event detection result in the prior art is overcome.

Systems and methods of a security system are provided, including detecting, by a sensor, a sound event, and selecting, by a processor coupled to the sensor, at least a portion of sound data captured by the sensor that corresponds to at least one sound feature of the detected sound event. The systems and methods include classifying the at least one sound feature into one or more sound categories, and determining, by a processor, based upon a database of home-specific sound data, whether the at least one sound feature is a human-generated sound. A notification can be transmitted to a computing device according to the sound event.