International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

JARVIS: Voice Controlled AI for Help Human

Abstract

This Paper considers an overview of speech recognition technology, Software development, and its applications. The first section deals with the description of speech recognition process, its applications in different sectors, its flaws and finally the future of technology. Later part of report covers the speech recognition process, and the code for the software and it is working. Speech Recognition is the process of automatically recognizing a certain word spoken by a particular speaker based on individual information included in speech waves. In this project, we will use algorithms for the speech recognition which will implement on JAVA for platform independent facility this system can be used for any security system in which the person authentication is required.

Country : India

1 Prof. Rupali Panpaliya2 Ashish Gaikwad3 Prathmesh Kamble4 Rushikesh Kad5 Saurabh Pasalkar

  1. Department of Computer Science and Engineering, Siddhant College of Engineering, Sudumbare, Pune, India
  2. Department of Computer Science and Engineering, Siddhant College of Engineering, Sudumbare, Pune, India
  3. Department of Computer Science and Engineering, Siddhant College of Engineering, Sudumbare, Pune, India
  4. Department of Computer Science and Engineering, Siddhant College of Engineering, Sudumbare, Pune, India
  5. Department of Computer Science and Engineering, Siddhant College of Engineering, Sudumbare, Pune, India

IRJIET, Volume 7, Special Issue of ICRTET- 2023 pp. 157-160

IRJIET.ICRTET32

Full Paper
Download

References

  1. I.J"ícˇ´ıcck, I. Maiícssc, M. Gaˇ siˇ c, S. Kcizcí, B. ľkom-´ so⭲, K. Y",and S. Young, “ľíansfoímation-bascd Ḻcaí⭲i⭲g roí semantic paísing,” inNíoceedi⭲gs or INľERSNEECH, 2009.
  2. Iía⭲ccsco Ncsta, Maíco Matasso⭲i, Ramo⭲ Icí⭲a⭲dcz Ast"dillo, “A Ilcxiblc Spatial Bli⭲d So"ícc Extíactio⭲ Iíamcwoík Ioí Rob"st Spccck Rccog⭲itio⭲ I⭲ NoisQ Enviíonments”, Comp"tcí Spccck a⭲d Ḻa⭲g"agc.
  3. H. S"z"ki, H. Zc⭲, Y. N"⭲k"k", C. MiQajima, K. ľok"da, a⭲d I.Kitumuíu, “Speech Recognition Using Voice Ckaíactcíistic Kcpc⭲dc⭲t Aco"stic Models”,Acoustics, Spccck, a⭲d Sig⭲al Píoccssi⭲g, 200«. Píocccdi⭲gs, MaQ 200«.
  4. Ji⭲mook Ḻcc, Sco⭲gwook Paík, I⭲joo⭲ Ho⭲g a⭲d HoiJ"⭲ Yoo, “An E⭲cígQ- crricic⭲t Spccck Extíactio⭲ Píoccssoí roí Rob"st Uscí Spccck Rccog⭲itio⭲ i⭲ Mobilc Hcad-mo"⭲tcd KisplaQ Systems”, IEEE ľía⭲sactio⭲s o⭲ Ciíc"its a⭲d SQstcms II, Vol"mc: 64, Iss"c: 4, Apíil 2017.
  5. Mickacl Píicc, Me½beí, James Glass and Anantha P. Chandíakasan, “A Ḻow- Powcí Spccck Rccog⭲izcí a⭲d Voicc Acti:itQ Kctcctoí Usi⭲g KccpNc"íal Netwoíks”, IEEE Jo"í⭲al or Solid-Statc Ciíc"its, Octobcí 2017.
  6. Ng"Qc⭲ K"c ľka⭲g, S"⭲gQo"⭲g Ḻcc, Yo"⭲g-Koo Ḻcc, KQ"⭲g Hcc, “Fast Co⭲stíai⭲cd I⭲dcpc⭲dc⭲t Compo⭲c⭲t A⭲alQsis Ioí Bli⭲d Spccck Scpaíatio⭲ Witk M"ltiplc Refeíences”,Computeí Scic⭲ccs a⭲d Co⭲:cígc⭲cc I⭲roímatio⭲ ľcck⭲ologQ (ICCIľ) Kcc. 2010.
  7. Pkilipp Aicki⭲gcí, Maíti⭲ Hagm"llcí, Bcíit Sck⭲cidcíSticklcí, Jca⭲ Schoentgen and Fíanz Peínkopf, “ľíacking Of Multiple Fundamental Iícq"c⭲cics i⭲ Diplophonic Voices”, IEEE/ACM ľíansactions on Audio, Spccck, a⭲d Ḻa⭲g"agc Píoccssi⭲g, Vol"mc: 26, Iss"c: 2, Octobcí 2017.
  8. Suma Swamy and K.V Ramakíishnan, “An Efficient Speech Recognition System”, Computeí Science & Engineeíing: An I⭲tcí⭲atio⭲al Jo"í⭲al (CSEIJ), Vol. «, No. 4, A"g"st 201«.
  9. IEEE Website: http://www.ieee.com
  10. Google website: http://code.google.com/SRS
  11. http://www.wikipedia.com/Speech
  12. http://www.google.co.in
  13. Referred Books: For Core JAVA, “JAVA complete reference” by Herbert Scheldt.
  14. For Speech Recognition, “Speaker Identification” by Lawrence R.

Copyright @ 2026-2017 IRJIET. All Right Reserved.

Developed by Byzero Technologies