Research development and forecast of automatic speech recognition technologies

The purpose of automatic speech recognition (ASR) is to make the machine to be able to “understand” the human speech and transform it to readable text information.ASR is one of the key technologies of human machine interaction and also a hot research domain for a long time.In recent years,due to the...

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Main Authors: Haikun WANG, Jia PAN, Cong LIU
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2018-02-01
Series:Dianxin kexue
Subjects:
Online Access:http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2018095/
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author Haikun WANG
Jia PAN
Cong LIU
author_facet Haikun WANG
Jia PAN
Cong LIU
author_sort Haikun WANG
collection DOAJ
description The purpose of automatic speech recognition (ASR) is to make the machine to be able to “understand” the human speech and transform it to readable text information.ASR is one of the key technologies of human machine interaction and also a hot research domain for a long time.In recent years,due to the application of deep neural networks,the use of big data and the popularity of cloud computing,ASR has made great progress and break through the threshold of application in many industries.More and more products with ASR have entered people’s daily life,such as Apple’s Siri,Amazon’s Alexa,IFLYTEK speech input method and Dingdong intelligent speaker and so on.The development status and key breakthrough technologies in recent years were introduced.Also,a forecast of ASR technologies’ trend of development was given.
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institution Kabale University
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language zho
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publisher Beijing Xintong Media Co., Ltd
record_format Article
series Dianxin kexue
spelling doaj-art-ac5664b079a94f6da75713688c7d4cfd2025-01-15T03:05:10ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012018-02-013411159596866Research development and forecast of automatic speech recognition technologiesHaikun WANGJia PANCong LIUThe purpose of automatic speech recognition (ASR) is to make the machine to be able to “understand” the human speech and transform it to readable text information.ASR is one of the key technologies of human machine interaction and also a hot research domain for a long time.In recent years,due to the application of deep neural networks,the use of big data and the popularity of cloud computing,ASR has made great progress and break through the threshold of application in many industries.More and more products with ASR have entered people’s daily life,such as Apple’s Siri,Amazon’s Alexa,IFLYTEK speech input method and Dingdong intelligent speaker and so on.The development status and key breakthrough technologies in recent years were introduced.Also,a forecast of ASR technologies’ trend of development was given.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2018095/automatic speech recognitiondeep neural networkacoustic modellanguage model
spellingShingle Haikun WANG
Jia PAN
Cong LIU
Research development and forecast of automatic speech recognition technologies
Dianxin kexue
automatic speech recognition
deep neural network
acoustic model
language model
title Research development and forecast of automatic speech recognition technologies
title_full Research development and forecast of automatic speech recognition technologies
title_fullStr Research development and forecast of automatic speech recognition technologies
title_full_unstemmed Research development and forecast of automatic speech recognition technologies
title_short Research development and forecast of automatic speech recognition technologies
title_sort research development and forecast of automatic speech recognition technologies
topic automatic speech recognition
deep neural network
acoustic model
language model
url http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2018095/
work_keys_str_mv AT haikunwang researchdevelopmentandforecastofautomaticspeechrecognitiontechnologies
AT jiapan researchdevelopmentandforecastofautomaticspeechrecognitiontechnologies
AT congliu researchdevelopmentandforecastofautomaticspeechrecognitiontechnologies