6 results about "Audio signal classification" patented technology

Methods and processors for detecting a synthetic audio signal is disclosed. The method comprising: acquiring a candidate audio signal; generating a spectrogram representation of the candidate audio signal, the spectrogram representation comprising values for respective frequency-time pairs; generating a frequency-based combined patch using the spectrogram, a given combined value in the frequency-based combined patch being a combination of values from the spectrogram sharing a same frequency coordinate and different time coordinates; classifying the candidate audio signal as the synthetic audio signal using the frequency-based combined patch.

The application discloses a sleep breathing disorder identification system based on deep learning, comprising an audio signal feature extraction module, a feature processing module, a time-weighted attention mechanism module and a bidirectional long short-term memory network module connected in sequence. The audio signal feature extraction module extracts multi-dimensional audio features; the feature processing module processes the features through convolution and full connection layers; the time-weighted attention mechanism module highlights key moment information; the Bi-LSTM module models forward and backward time sequence dependency relationships and is classified through a full connection layer and a Softmax layer. The device comprises a snoring sound input module, a sound detection module, an embedded module and a data display module, can monitor snoring sound signals in real time, displays the detection results in a graphical interface after processing, realizes efficient and accurate identification of various sleep breathing disorders, overcomes the problems of incomplete feature extraction and low modeling efficiency in the prior art, and improves the accuracy and robustness of the audio signal classification task.

The invention relates to the field of hearing aid audio classification, in particular to a hearing aid audio classification method, which comprises a classification system, and the classification system comprises a data acquisition and preprocessing module, a neural network model building module, a training model module, a real-time audio input module, a scene recognition stage module, a personalized adjustment module and a feedback optimization module. The data acquisition and preprocessing module comprises data preprocessing, feature extraction and feature fusion, and the data acquisition and preprocessing module collects and preprocesses a large amount of audio data of different scenes, combines a deep learning technology and a traditional audio feature extraction method, and trains a neural network model to obtain an audio feature extraction result; the audio signals received by the hearing aid are automatically classified, the accuracy and the stability are high in the aspect of audio signal classification of the hearing aid, and therefore the stability of collected audio classification when the hearing aid is used is improved, and the overall receiving definition of the hearing aid is improved.

This utility model discloses a device for detecting thermal events in shipborne new energy vehicles, comprising: a headlight flicker detection sub-device, an alarm horn detection sub-device, and a new energy vehicle thermal event alarm sub-device; a camera group is deployed to ensure the acquisition of video images of all new energy vehicles; a headlight flicker detector detects headlight flicker events, avoiding misjudgments due to human negligence or fatigue; a microphone group is responsible for collecting sound from inside the vehicle compartment of the roll-on / roll-off ship; an audio signal classification and recognition device automatically identifies whether the audio data contains a car horn event; a signal superposition device superimposes the high-level signals detected by the headlight flicker detector and the audio signal classifier, and a thermal event judge determines whether a new energy vehicle thermal event has occurred based on the superimposed voltage signal, thereby significantly improving the objectivity and reliability of vehicle thermal event determination.

Methods and processors for detecting a synthetic audio signal is disclosed. The method comprising: acquiring a candidate audio signal including a plurality of audio values; generating a set of patches using the plurality of audio values, a given one from the set of patches including a pre-determined number of audio values from the plurality of audio values, generating a combined patch using the set of patches, a given one value in the combined patch being a combination of values from respective ones from the set of patches; classifying the candidate audio signal as the synthetic audio signal using the combined patch.

Methods and systems for modification of electronic system operation based on acoustic ambience classification are presented. In an example method, at least one audio signal present in a physical environment of a user is detected. The at least one audio signal is analyzed to extract at least one audio feature from the audio signal. The audio signal is classified based on the audio feature to produce at least one classification of the audio signal. Operation of an electronic system interacting with the user in the physical environment is modified based on the classification of the audio signal.