Human-computer interaction based on speech recognition

Research Article
Open access

Human-computer interaction based on speech recognition

Ruixin Lu 1 , Renjie Wei 2* , Jian Zhang 3
  • 1 Jianghan University    
  • 2 Shanghai University of Engineering Science    
  • 3 Henan University of Science and Technology    
  • *corresponding author mwellsu50098@student.napavalley.edu
Published on 7 February 2024 | https://doi.org/10.54254/2755-2721/36/20230429
ACE Vol.36
ISSN (Print): 2755-273X
ISSN (Online): 2755-2721
ISBN (Print): 978-1-83558-297-8
ISBN (Online): 978-1-83558-298-5

Abstract

With the rapid change of The Times, language is no longer limited only in books, but gradually dedicates itself to reality. Speech recognition, in recent years, the cause of artificial intelligence and human-computer interaction continues to develop, all levels of life have its footprint, speech human-computer interaction leaf slowly began to integrate into the mainstream team of artificial intelligence. In general, speech recognition technology brings more convenience and naturalness to human-computer interaction, The benefits of human-computer interaction are not only reflected in improving the performance and efficiency of technical systems, but also in improving the user experience, fostering innovation, and promoting inclusive and sustainable development of society, and it has a positive impact in many fields, and with the continuous progress of technology, its application prospects will be broader. This paper makes a simple analysis and introduction of the role of speech recognition in human-computer interaction, expounds the key technologies, main algorithms and working principles of speech human-computer interaction, And some applications of human-computer interaction based on speech recognition in life and production fields. At the same time, the hidden problems and solutions are discussed, and includes the prospect of future speech human-computer interaction. Hope that this paper can bring some inspiration to relevant scientific research teams, assisting them to broaden a bright future.

Keywords:

Speech Recognition, Artificial Intelligence, Human-Computer Interaction

Lu,R.;Wei,R.;Zhang,J. (2024). Human-computer interaction based on speech recognition. Applied and Computational Engineering,36,102-110.
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References

[1]. Villameriel S, et al. Language modality shapes the dynamics of word and sign recognition. Cognition. 2019; 191:103979.

[2]. Stilp C. Acoustic context effects in speech perception. Wiley Interdiscip Rev Cogn Sci. 2020; 11(1):e1517.

[3]. Cowan T, et al. Masked-Speech recognition for linguistically diverse populations: A Focused Review and Suggestions for the Future. J Speech Lang Hear Res. 2022; 65(8):3195-3216.

[4]. Vermiglio AJ, et al. Diagnostic Accuracy of the AzBio Speech Recognition in Noise Test. J Speech Lang Hear Res. 2021; 64(8):3303-3316.

[5]. Xu S, et al. Research on Human-computer intelligent interaction based on speech recognition and natural language processing conversation flow. Machinery & Electronics 39.07(2021):65-69.

[6]. Lu Z, et al." Human-computer interactive speech recognition development and analysis of military applications." Ordnance Industrial Automation. 2023, 42(04):21-25.

[7]. Cheng H., et al. Implementation of speech recognition technology based on Linux platform. Internet of Things Technology. 2022, 12(10):89-91.

[8]. Tao J., et al. Human-Computer interaction oriented to Virtual-real fusion. Journal of Image and Graphics. 2023, 28(06):1513-1542.

[9]. Zhang H., et al. Research and implementation of intelligent dialogue system based on speech recognition." Journal of Shenyang Normal University (Natural Science Edition) 2022, 40(05):446-450.

[10]. Yu K, et al.. Speech recognition and end-to-end technology status and prospects [J]. Application of Computer Systems, 2021, 30(3):14-23

[11]. He Y., et al. A scene Recognition Method based on HMM [J]. Computer Science, 2011, 04:254-256.

[12]. Liu Y, et al. Text information Extraction based on Hidden Markov Model [J]. Journal of System Simulation,2004(03):507-51

[13]. Yu X. Development and application of speech recognition technology. Computer Times. 2019, 11:28-31.

[14]. Xu S, et al." Research on human-computer intelligent interaction method based on speech recognition and natural language processing conversation Flow. Machinery & Electronics 2021, 39(07):65-69.

[15]. Lu Z., et al Human-computer interactive speech recognition development and military application analysis. Ordnance Industrial Automation 2023, 42(04):21-25.

[16]. Liu CF, et al. A real-time speech separation method based on camera and microphone array sensors fusion approach. Sensors (Basel). 2020, 20(12):3527.

[17]. Zhu Q, et al. Speech recognition technology is applied in EMS man-machine interactive study [J]. Automation of electric power systems, 2008, 32 (13):45-48.

[18]. Zhang H. Localization voice interaction technology based on the hardware in the application of the smart home system [J]. Journal of electronics science and technology, 2013(6):1.

[19]. Li M, et al.. Intelligent household scenario the children's game of interaction design research [J]. Journal of packaging engineering, 2022,16:68-75.

[20]. Wang W. Artificial intelligence to the subjective influence [J]. Journal of reform and opening, 2018(14):113-114.

Cite this article

Lu,R.;Wei,R.;Zhang,J. (2024). Human-computer interaction based on speech recognition. Applied and Computational Engineering,36,102-110.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 2023 International Conference on Machine Learning and Automation

ISBN：978-1-83558-297-8(Print) / 978-1-83558-298-5(Online)
Editor：Mustafa İSTANBULLU
Conference website: https://2023.confmla.org/
Conference date: 18 October 2023
Series: Applied and Computational Engineering
Volume number: Vol.36
ISSN：2755-2721(Print) / 2755-273X(Online)

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References

[1]. Villameriel S, et al. Language modality shapes the dynamics of word and sign recognition. Cognition. 2019; 191:103979.

[2]. Stilp C. Acoustic context effects in speech perception. Wiley Interdiscip Rev Cogn Sci. 2020; 11(1):e1517.

[3]. Cowan T, et al. Masked-Speech recognition for linguistically diverse populations: A Focused Review and Suggestions for the Future. J Speech Lang Hear Res. 2022; 65(8):3195-3216.

[4]. Vermiglio AJ, et al. Diagnostic Accuracy of the AzBio Speech Recognition in Noise Test. J Speech Lang Hear Res. 2021; 64(8):3303-3316.

[5]. Xu S, et al. Research on Human-computer intelligent interaction based on speech recognition and natural language processing conversation flow. Machinery & Electronics 39.07(2021):65-69.

[6]. Lu Z, et al." Human-computer interactive speech recognition development and analysis of military applications." Ordnance Industrial Automation. 2023, 42(04):21-25.

[7]. Cheng H., et al. Implementation of speech recognition technology based on Linux platform. Internet of Things Technology. 2022, 12(10):89-91.

[8]. Tao J., et al. Human-Computer interaction oriented to Virtual-real fusion. Journal of Image and Graphics. 2023, 28(06):1513-1542.

[9]. Zhang H., et al. Research and implementation of intelligent dialogue system based on speech recognition." Journal of Shenyang Normal University (Natural Science Edition) 2022, 40(05):446-450.

[10]. Yu K, et al.. Speech recognition and end-to-end technology status and prospects [J]. Application of Computer Systems, 2021, 30(3):14-23

[11]. He Y., et al. A scene Recognition Method based on HMM [J]. Computer Science, 2011, 04:254-256.

[12]. Liu Y, et al. Text information Extraction based on Hidden Markov Model [J]. Journal of System Simulation,2004(03):507-51

[13]. Yu X. Development and application of speech recognition technology. Computer Times. 2019, 11:28-31.

[14]. Xu S, et al." Research on human-computer intelligent interaction method based on speech recognition and natural language processing conversation Flow. Machinery & Electronics 2021, 39(07):65-69.

[15]. Lu Z., et al Human-computer interactive speech recognition development and military application analysis. Ordnance Industrial Automation 2023, 42(04):21-25.

[16]. Liu CF, et al. A real-time speech separation method based on camera and microphone array sensors fusion approach. Sensors (Basel). 2020, 20(12):3527.

[17]. Zhu Q, et al. Speech recognition technology is applied in EMS man-machine interactive study [J]. Automation of electric power systems, 2008, 32 (13):45-48.

[18]. Zhang H. Localization voice interaction technology based on the hardware in the application of the smart home system [J]. Journal of electronics science and technology, 2013(6):1.

[19]. Li M, et al.. Intelligent household scenario the children's game of interaction design research [J]. Journal of packaging engineering, 2022,16:68-75.

[20]. Wang W. Artificial intelligence to the subjective influence [J]. Journal of reform and opening, 2018(14):113-114.

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