Abstract: A method and device of transparency processing of music. The method comprises: obtaining a characteristic of a music to be played; inputting the characteristic into a transparency probability neural network to obtain a transparency probability of the music to be played; determining a transparency enhancement parameter corresponding to the transparency probability, the transparency enhancement parameter is used to perform transparency adjustment on the music to be played. The present invention constructs a transparency probability neural network in advance based on deep learning and builds a mapping relationship between the transparency probability and the transparency enhancement parameters can be constructed, so that the music to be played can be automatically permeated.

Abstract: A deep learning method-based tonal balancing method, apparatus, and system, the method includes: extracting features from audio data to obtain audio data features, generating audio balancing results by using a trained audio balancing model based on the obtained audio data features. The present invention employs deep neural networks and unsupervised deep learning method to solve the problems of audio balancing of unlabeled music and music of unknown style. The present invention also combines user preferences statistics to achieve a more rational multi-style audio balancing design to meet individual needs.

Abstract: The present invention provides a deep learning based method and system for processing sound quality characteristics. The method comprises: obtaining data characteristics of an audio data to be processed by extracting features from user preference data including the audio data to be processed; based on the data characteristics, generating a sound quality processing result of the audio to be processed by using a trained baseline model; wherein the baseline model is a neural network model trained by using audio data behavioral data, and other relevant data from multiple users or a single user.

Abstract: The present application provides a surge protection circuit, a lightning protector and an electronic device. The surge protection circuit includes a first protection module, the first protection module comprises a first protection sub-module and a second protection sub-module electrically connected to the first protection sub-module. The first protection sub-module is used for surge protection during a first surge input, the second protection sub-module is used for surge protection during a second surge input protection, and the second surge strength is higher than the strength of the first surge. The surge protection circuit, lightning protection and electronic equipment could provide different levels of surge protection for different levels of surge and could greatly enhance the sensitivity of lightning protection.