3results about How to "Wake up fast" patented technology

The application provides a keyword detection method and related equipment. The method comprises: performing feature extraction on a to-be-processed voice signal to obtain acoustic features; and inputting the acoustic features into a trained neural network model to output a keyword detection result, wherein the trained neural network model is a dynamic binary neural network. According to the technical solution, the to-be-processed voice signal is first subjected to feature extraction to obtain acoustic features, and then the acoustic features are input into the trained dynamic binary neural network model to output a keyword detection result. In this way, the parameter quantity and the calculation quantity in the neural network model are greatly reduced, the data storage space is reduced, the wake-up speed is improved, and the power consumption of the detection system is effectively reduced, thereby reducing the difficulty of hardware implementation. Meanwhile, the recognition accuracy of the keyword detection result is effectively improved.

This invention discloses a voice wake-up method and system based on a mixed-precision quantization neural network. The method includes: acquiring a voice signal to be processed using a microphone of a voice wake-up device; extracting features from the voice signal to obtain log-Mel spectrum features; inputting the log-Mel spectrum features into a mixed-precision quantization neural network to determine the classification result corresponding to the log-Mel spectrum features; wherein, the mixed-precision quantization refers to using different quantization bits for parameter quantization and calculation simplification for the parameters and operations of each layer in the network, based on the required precision of parameter calculation for each layer; if the classification result corresponding to the log-Mel spectrum features is a wake-up word and a set time limit has been exceeded, waking up the voice wake-up device.

The invention relates to the technical field of line fault detection, in particular to a novel low-voltage distribution line fault detector and a data analysis algorithm, and the novel low-voltage distribution line fault detector comprises a main control module which is used for overall control and waveform operation of waveform data; the waveform acquisition module is used for identifying a state waveform of line abrupt change and outputting waveform data; the transient trigger module is used for waking up the main control module when large current is generated in the line, and the detection end of the transient trigger module is connected with the corresponding line; the transient trigger module outputs a wake-up signal to the master control module to wake up the master control module to enter a high-speed operation mode when a large current is generated in a line. According to the invention, a series of work such as automatic wakeup, automatic acquisition of state waveforms and automatic judgment of the current line state of the low-voltage distribution line fault detector when the line state is suddenly changed can be realized, the automation and intelligence degree is high, the response speed is high, the wakeup speed is high, and the reliability is high.