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Method, apparatus and computer device for identifying voice and storage medium

A technology for speech recognition and to-be-recognized, which is applied in speech recognition, speech analysis, neural learning methods, etc., and can solve problems such as insufficient accuracy of speech recognition, and achieve the goal of improving the speed of recognition, improving the accuracy of recognition, and improving the accuracy Effect

Active Publication Date: 2018-01-26
PING AN TECH (SHENZHEN) CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Based on this, it is necessary to address the problem of insufficient speech recognition accuracy, the present invention proposes a more accurate speech recognition method, device, computer equipment and storage medium

Method used

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  • Method, apparatus and computer device for identifying voice and storage medium
  • Method, apparatus and computer device for identifying voice and storage medium
  • Method, apparatus and computer device for identifying voice and storage medium

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Embodiment Construction

[0046] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0047] like figure 1 Shown is a schematic diagram of the internal structure of a computer device in an embodiment. The computer device may be a terminal or a server. refer to figure 1 , the computer equipment includes a processor connected through a system bus, a non-volatile storage medium, an internal memory, a network interface, a display screen and an input device. Wherein, the non-volatile storage medium of the computer device may store an operating system and computer-readable instructions, and when the computer-readable instructions are executed, the processor may execute a voice recognit...

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Abstract

The invention provides a method for identifying voice. The method includes the following steps: acquiring to-be-identified voice data; extracting the Filter Bank feature and the MFCC feature in the voice data; configuring the MFCC feature as the input data of a GMM-HMM model, acquiring a first approximation probability matrix; configuring the Filter Bank feature as the input feature of the LSTM model having a connecting unit, acquiring a posterior probability matrix; and configuring the posterior probability matrix and the first likelihood probability probability matrix as the input data of the HMM model, acquiring a second likelihood probability matrix, based on the second likelihood probability matrix, acquiring a corresponding target word sequence from a phoneme decoding network. The method herein combines a mixed gaussian model and a deep learning model and is provide with the LSTM model which has the connecting unit and serves as the acoustic model, so that the method increases the accuracy in identifying voice. The invention provides an apparatus for identifying voice, a computer device and a storage medium.

Description

technical field [0001] The invention relates to the field of computer processing, in particular to a voice recognition method, device, computer equipment and storage medium. Background technique [0002] Speech recognition, also known as Automatic Speech Recognition (ASR), aims to allow machines to convert speech signals into text through recognition and understanding, which is an important branch of the development of modern artificial intelligence. The realization of speech recognition technology is the premise of natural language processing, and can effectively promote the development of voice-activated interaction-related fields and greatly facilitate people's lives, such as smart home and voice input. The accuracy of speech recognition directly determines the effectiveness of technology applications. [0003] Traditional speech recognition technology is based on GMM-HMM (mixed Gaussian model and hidden Markov model) for the establishment of acoustic models. In recent y...

Claims

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Application Information

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IPC IPC(8): G10L15/02G10L15/14
CPCG10L15/142G10L15/16G10L2015/025G06N3/08G06N7/01G06N3/044G06N3/045G06F17/16G06F17/18G10L15/14G10L15/02
Inventor 梁浩王健宗程宁肖京
Owner PING AN TECH (SHENZHEN) CO LTD
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