Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Voice storage and classification system based on memristor

A classification system and voice storage technology, applied in information storage, static memory, digital memory information, etc., can solve the problem of low accuracy and efficiency of the voice storage system, the inability of the filter to accurately adjust the filter parameters, and the slow read and write speed of the memory and other issues, to achieve high-precision classification effects, high-quality audio quality, and high classification efficiency

Active Publication Date: 2017-12-01
UNIV OF ELECTRONIC SCI & TECH OF CHINA
View PDF5 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to solve the problem that the accuracy and efficiency of the voice storage system are not high due to the inability of the traditional filter in the existing voice storage system to accurately adjust the filter parameters, and the slow reading and writing speed of the traditional memory. To solve the problem that the existing voice classification methods simply use software to realize the classification algorithm, which has the disadvantages of slow operation speed and poor stability, the present invention provides a voice storage and classification system based on memristors

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Voice storage and classification system based on memristor
  • Voice storage and classification system based on memristor
  • Voice storage and classification system based on memristor

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0022] The technical solution in this embodiment will be clearly and completely described below in conjunction with the accompanying drawings in the embodiment of the present invention. Obviously, the described embodiment is only a part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0023] The memristor-based speech storage and classification system of the present invention, such as figure 1 As shown, it includes a pickup module 1, an amplification module 2, a memristive filter module 3, an A / D conversion module 4, a control module 5 and a memory module 6 based on a memristor cross array connected in sequence, and the control module 5 is also connected to There is a speech classification module 7, and the speech classification module 7 is a n...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a voice storage and classification system based on a memristor and relates to the field of digital audio information storage and classification in electronic techniques. The voice storage and classification system comprises a pickup module, an amplification module, a memory resisting filter module, an A / D conversion module, a control module and a storage module based on memristor cross arrays, the control module is further connected with a voice classification module, the voice classification module is a neural network based on the memristor, and a hardware circuit of neurons of the neural network is a memory resisting bridge neuron circuit.

Description

technical field [0001] The invention relates to the field of digital audio information storage and classification in electronic technology, in particular to a memristor-based voice storage and classification system. Background technique [0002] The traditional magnetic tape voice storage system has problems such as large size and inconvenient use, and has been subject to many restrictions in the use of electronics and information processing; Convenient, low power consumption and other advantages, thus replacing the magnetic tape system. However, in the digital voice storage system and classification method based on single-chip microcomputer, the traditional filter cannot accurately adjust the filter parameters, the traditional memory read and write speed is slow, and the traditional software-based classification algorithm has the disadvantages of slow operation speed and poor stability. Contents of the invention [0003] The purpose of the present invention is to solve t...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G11C13/00H03H11/38
CPCG11C13/004G11C13/0069H03H11/38
Inventor 于永斌雷飞张欢党博唐浩文杨辰宇杨妮晶马慧慧汪彦丞徐冰珂陈文瑜刘美希
Owner UNIV OF ELECTRONIC SCI & TECH OF CHINA
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com