+ All Categories
Home > Documents > Analytical Survey: Speech Recognition Methods Used in ...

Analytical Survey: Speech Recognition Methods Used in ...

Date post: 26-Dec-2021
Category:
Upload: others
View: 3 times
Download: 0 times
Share this document with a friend
8
Journal of Advanced Sciences and Engineering Technologies Vol. 1, No.2 (2018) 1-8 ISSN: 2617-2070 (Print) ; 2617-2070 (Online) Journal of Advanced Sciences and Engineering Technologies Available online at: http://www.jaset.isnro.org Khalid A. Al Smadi 1 ,Mohammad A.A. Al_ Rababah 2 Al smadi Takialddin Jordanian Sudanese Colleges for Science & Technology, Khartoum, Sudan 1 [email protected] Northern Border University, Community college Branch Rafha Arar, KSA 2 College of Engineering, Jerash University, Jerash, Jordan 3 Keywords: Speech recognition Control systems Voice command Analytical Survey ARTICLE INFO Article history: Received 01 august 2018 Accepted 20 august2018 Available online 10 October 2018 DOI: http://dx.doi.org/10.32441/jaset.01.02.07 Copyright © 2018 by author(s) and This work is licensed under the Creative Commons Attribution International License (CC BY 4.0). http://creativecommons.org/licenses/by/4.0 Journal of Advanced Sciences and Engineering Technologies Journal of Advanced Sciences and Engineering Technologies Analytical Survey: Speech Recognition Methods Used in Voice Recognition Techniques ABSTRACT This paper mainly studies Speech recognition methods used in voice control systems Analytical survey, Construction of the system voice control is now urgent. Such systems can greatly facilitate user interaction with the computer system.This is especially the idea developed in the concept of Moreover, sometimes the voice Interface is a necessary component of,for example, when it comes to people with disorders of the musculoskeletal system., The work proposed describes general methods of speech recognition based on hidden Markova models (HMM), for in ability to design control system, has high efficiency through voice commands save time and effort and shorten the distance through this circuit get a security system depends on it registered only the person who by scoring and Help people with special needs to rely on themselves in some work © 2018 JASET, International Scholars and Researchers Association O pen A ccess
Transcript

Journal of Advanced Sciences and Engineering Technologies Vol. 1, No.2 (2018) 1-8

ISSN: 2617-2070 (Print) ; 2617-2070 (Online)

Journal of Advanced Sciences and Engineering Technologies

Available online at: http://www.jaset.isnro.org

KhalidA.AlSmadi1,MohammadA.A.Al_Rababah2

AlsmadiTakialddin

Jordanian Sudanese Colleges for Science &Technology,Khartoum,Sudan1

[email protected]

Northern Border University, Community collegeBranchRafhaArar,KSA2

College of Engineering, Jerash University, Jerash,Jordan3

Keywords:Speechrecognition

Controlsystems

Voicecommand

AnalyticalSurvey

A R T I C L E I N F O

Articlehistory:Received01august2018Accepted20august2018Availableonline10 October2018DOI:http://dx.doi.org/10.32441/jaset.01.02.07

Copyright© 2018 byauthor(s)andThiswork is licensedunder the CreativeCommons Attribution InternationalLicense(CCBY4.0).

http://creativecommons.org/licenses/by/4.0

Journalof AdvancedSciencesandEngineeringTechnologiesJournalofAdvancedSciencesandEngineeringTechnolog ies

AnalyticalSurvey:SpeechRecognitionMethodsUsedinVoiceRecognition

Techniques

A B S T R A C T

ThispapermainlystudiesSpeechrecognitionmethodsusedinvoice control systems Analytical survey, Construction of thesystemvoicecontrolisnowurgent.Suchsystemscangreatlyfacilitateuser interactionwith the computer system.This isespecially the idea developed in the concept of Moreover,sometimes the voice Interface is a necessary componentof,for example, when it comes to people with disorders ofthemusculoskeletal system., The work proposed describesgeneral methods of speech recognition based on hiddenMarkova models (HMM), for in ability to design controlsystem, has high efficiency through voice commands savetimeandeffortandshortenthedistancethroughthiscircuitget a security system depends on it registered only thepersonwhobyscoringandHelppeoplewithspecialneedstorelyonthemselvesinsomework

©2018JASET,InternationalScholarsandResearchersAssociation

OpenAccess

Khalid A. et al. / Journal of Advanced Sciences and Engineering Technologies

Introduction

The system voice control is currently theurgent work; such systems, facilitate userinteractionwiththecomputersystem.Thisisespecially the idea developed in the conceptoftheso-calledsmarthouses"voiceinterfaceisanecessarycomponentof the taskofsuchsystems is the allocation and recognitionfrom the flow of the signal horn (both voiceand non-voice and a certain set of voicecommands. The systemmustnotrespond toother areasof speech signal, including thosethat contain the words of predefinedcommands. To create such a systemdeveloper faces certain problems. First, thelackofamathematicalmodelofthesemanticsof speech signal that is reflected in the factthat in order to determine the semantics ofspeechsignalcanonlybeappliedprobabilityand heuristic methods. Accurate results andaccuracyofwhichisinverselyproportionaltothenumberofsemanticunits, forwhichtheyare intended. Second, the individualcharacteristics of the Speaker: the specificityof the pronunciation, two main methods ofvoice control: a method of sliding windowandmethodofmodelsoffillers.Bothmethodsare based on the algorithm of speechrecognition using hidden Markov models(CMM) [1].The voice tag as the divine sealcreatedbytheAlmightyGodtodistinguishitfromotherhumans,Eachmanhashisimprintsothateachfingerinhumansuniquefromtheother imprint. has created every humanfootprintdistinctvoiceinadditiontotheodorand eye and ear form of sound wave Showfigure1

Figure1:Theformofsoundwave

Thehumanvoicecomesoutthroughthevocalcords as vibrating vocal cords in the larynxdue to exhaled air with the help ofneighboringmusclessurrounding,Ninesmallcartilage each ofwhich shareswith the lips,tongue and throat until tone of voice out,Tone of voice this is what distinguisheshuman from other humans, it is known thateachof ushasadifferent toneof voice fromthe other that you can distinguish betweenyour friends and your brothers through thetonesof theirvoiceson thephone thisistheimprintoftheirownvoice[2,3].

Soundfrequenciesinhumans:

Theaudiofrequencyrangerangesinhumansalmost , From (300Hz -3400Hz) Acousticspeech adult male has a fundamentalfrequency of 85Hz to 180Hz for either anadult female, it would be from 165Hz to255Hzsothefundamentalfrequencyofmostspeechfallsbelowtheaudiofrequencyrangepresent for fig 2.

Figure2:Theformofvoicetaginhumans

Journal of Advanced Sciences and Engineering Technologies Vol. 1, No.2 (2018) 1-8

Figure3:Generaloutlinetheblocktodothevoicecommand

Relatedwork:

Is an integrated circuit compressedmicrocontroller to receive voice commandsare recorded and then stored in the memoryassistance through the given orders from theprogram, andaregivingsomething else to doon the orders of conformity and giving itadjusted a control required an output Speakto Control (Arduino compatible) VoiceRecognition Module is a compact and easy-control speaking recognition board ,thisproduct is a speaker-dependent voicerecognitionmodule.Itsupportsupto80voicecommandsinallMax7voicecommandscouldwork at the same time. Any sound could betrained as command. Users need to train themodulefirstbeforeletitrecognizinganyvoicecommandshowfig4

Figure4:voicerecognitionmodulecircuit

-Voicerecognitionplatform:

Through this block diagram see fig 5 isclarifiedtwooperations:

-AudiorecordingoftheuserandVerificationandmatchingprocess.

Here are the sound discovery in (endpointdetection) and convert it into an electricalsignal , And then the noise is removed byusing a specific noise (noise elimination),Herethesignaliseitherreadyforregistrationand verification,According to the code, herearetheregistrationprocessandgetthevoiceof the store model is ready for comparisonwithanysoundatanytimeseefigure5.

Figure5:Thesignalpathintheaudiorecordingprocess

Verificationandmatchingprocess:

Here are the audio receiver and convertedinto an electrical signal and then removenoise,Thenaccordingto thecommandgivento the microcontroller a match is madebetweenthenewsoundandthestoredsound

Khalid A. et al. / Journal of Advanced Sciences and Engineering Technologies

inside (voice matching) in themicrocontroller, Note through a form thatthereismorethanonepersonhasbeentheirrefusal fornotmatching their voicewith thesoundstored[4.5.6].

- The process is controlled by voice usingArduino:

Figure6:TheblockdiagramoftheprocessiscontrolledbyvoiceusingArduino

Throughthisblockdiagramisclarifiedtwooperations:-

1-Audiorecordingoftheuser.

2-Verificationandmatchingprocess.

Audiorecordingoftheuser:

Registration requiredvoice commandsusingthetoneofvoiceoftheuserpersonallysothatthe sound is transforming into an electricalsignalusingamicrophoneconnectedwiththemoduleVoicerecognitionmoduleItworksto

convert electrical signals received fromanalog to digital is then converted into a

Journal of Advanced Sciences and Engineering Technologies Vol. 1, No.2 (2018) 1-8

binary counting system and then tohexadecimalandthenstoresitinthememorymoduleAfter thatwehaveavoicecommandsstoredencrypted ready to be compared with anyotherorders.[7].

Verificationandmatchingprocess:

Here are comparisons between thecommands stored and new orders in themicrocontroller, according to themicrocontrollerprogramisthecomparisonintermsof the lengthof a voice commandandvoice frequency in addition to the form ofvoicecommandandifthemismatchbetweenthe old orders and new orders are orderingtheimplementationofthemicrocontrollerforsome operations, according to it voice.-16*2 LCD : Working on the show all theprocesses of registration and compared inadditiontotheoperationsthatareperformed.

-Relay Board: it is used to control highcurrentsthroughthevoltageofArduino.

-Loads:isadeviceItrequiredtorunorstop.

-Reset : It is working Clear of all thecommandsandcodefromthemicrocontroller.

-powersupply:Consistingof:

1-stepdownT/F:Itisatransformerworksonconvertofhighcurrentsintolowcurrents.

2-Bridge rectifier: Itworks to convert AC toDC.

3-Filtercircuit:It isafiltercapacitorswegetfromtheoutputoftheDCfrequencyequaltozerofreeofmeandering.

4-Regulator: Voltage Regulator we get fromtheoutputonmoreofanvoltage to feedallthecircuitcomponents[8].

2.1-Audiocontrolcircuit:

Figure7:ControlcircuitryofLED(ON,OFF)

-The microphone is working to convert theaudio signal to an electrical signal is thenamplifiedinTransistorwhichworksamplifier

firstvoicesignalandthentransmittedtonoteamplifierdifferentiallyyougrowandgiventothemicrocontroller,whichworksfirstonthe

Khalid A. et al. / Journal of Advanced Sciences and Engineering Technologies

conversion from analog to digital and thenextractedfromthefrequencyandwavelengthandshapeofvoicecommandandstoresitallinthememory.Thenwhenthe

compliance is verified the things stored andgiveiteitherrunorstop

Figure8:theformofcircuitdiagram

Principleofoperation

Throughthisdevicehasbeenamechanismtopursue the development, which is currentlyworking on the development of human,

Journal of Advanced Sciences and Engineering Technologies Vol. 1, No.2 (2018) 1-8

wheremobile phone usage and technologiesinstead of using modules which haveefficiency the probability of their decline isvery large, in the use of mobile phone andtechnologyhasbeenunderestimatedthisbadcomponent of a very large problem in thisdevice. Where the use of the Bluetoothfeature in the mobile phone as a propertysend only one direction through theapplication being downloaded from( Appstore , play store ) The figure 26 shows thetransmitter property of the phone. In thiswork, a microcontroller type(ATM32)whichis the theme of arduino which is fed byadapter or battery and its feeding will be(12v), the arduino consists of a group ofentrances and exits analog and digital I/OThedeviceisalsomadeofBluetoothreceiverformobilephonesignal ,figure23showstheBluetooth model , where it consists of fourpolesoneisVCCadoneisGND(VCC=5v,GND=0) , he also has two poles the first istransmitter and the second is receiver theseelectrodes are used to receive and transmitsignals between the Bluetooth and themicrocontrollertheyareconnectedTXtopin10andRXtopin11.

Italsoconsistsof thedisplayscreen, figure24 shows the LCD screen , The screen isconnected (VSS to GND and VDD to 5v andVEEtoVR) ,Thevariableresistanceisusedtocontrolthebrightnessofthescreensoastoconserve energy if the device is connectedwithabatteryinsteadofanadapterandit isconnected respectively( D4,D5,D6,D7)in pinsofscreentopins(D6,D7,D8,D9)indigital i/oin arduino , through this screen isdisplayedwhat is turned on and off through a systemunderstandable to the user and it is alsocontrolled using the digital exits in relays ,work OFF and ON in relay which in turncontrols the electrical appliances thatoperationat220VWhenyouwanttoturnon

and turn off any device connected to therelay.YoumustopentheapplicationandBluetoothin the mobile phone then the work ofcoupling between Bluetoothmodule and theBluetooth in mobile phone voice commandsare then sent by pressing the buttonrecording ,during this period he works as(Google Analytics Editor) which convertsaudio command to text then Bluetooth inmobilephone sends it toBluetoothmodule ,Bluetoothreceivesencryptedtext,thistextissent to the microcontroller , themicrocontroller performs a matchingbetween the first two texts in the controllerand the second receiver of Bluetooth, if thetwo texts match each other, the controllergives the command to run to the digitaloutputsandgivesascriptcommandtoruntothedisplayscreen[9.10].

Theprocesseswithinthemicrocontrolleraredoneusingan integratedprogramtocontroleverything:

Experimentandresult:

-Wewereabletorecordvoicecommandsonthedevicethroughvoicerecognition. -Wehave to control threedevices, stop andrun and Each device needs to be a voicecommandtorunandcommandedtostop. -Toimprovetheworkofthecircuitweusedawireless microphone to help some of thepeople Is connected to the circuit near thedesired operation and that are controlledthroughvoicecommandssetups. - The operation and control through awirelessmicrophonewithinstruments.

Khalid A. et al. / Journal of Advanced Sciences and Engineering Technologies

Conclusions

Throughexperiments conductedenableusto do some work on this project themismatch control electrical appliancesthroughvoicecommandsremotely,wealsowe connect the device to the gate of thehouse open and close automatically usingvoice commands, the device is alsoconnected with the elevator to besummoned before remotely caller personhashimupbyhisownvoicecommand,wealsoconnect thedevicetoahome lightingand control are running shut off throughvoice commands ,we canalso connect thisdevicetolockthesafetylockisnotopentothrough the user's voice commandrecorded.References

[ 1 ] Al Smadi, Takialddin, et al. "Artificialintelligence for speech recognition based onneuralnetworks." J. Signal Inform.Process6(2015):66-72.

[ 2 ] Al Smadi, Takialddin. "Real-time lanedetection for driver assistance system."CircuitsandSystems5.08(2014):201.

[3]Smadi,KalidA.,andTakialddinAlSmadi."Automatic System Recognition of LicensePlatesusingNeuralNetworks."(2017).

[ 4 ] Cicmil, Svetlana, and David Marshall."Insights into collaboration at the projectlevel: complexity, social interaction andprocurement mechanisms."BuildingResearch & Information33.6 (2005): 523-535.

[ 5 ] Al Smadi, Takialddin. "PedestrianCrossingsDetectionbyusingDriving

Assistance Systems." Journal ofCommunicationsTechnology,ElectronicsandComputerScience9(2017):17-21.

[ 6 ] Yamanoue, Takashi, Kentaro Oda, andKoichi Shimozono. "A m2m system usingarduino, android and wikisoftware."Advanced Applied Informatics(IIAIAAI),2012IIAIInternationalConferenceon.IEEE,2012.

[ 7 ] Pan, Wei. "Audio control circuit." U.S.PatentApplicationNo.2014/479,011.:

[ 8 ] Ballou, Glen.Handbook for soundengineers.Taylor&Francis,2013.

[ 9 ] Jung, Walter G.Op Amp applicationshandbook.Newnes,2005.

[10] Hansen, Sean T., et al. "Widebandmicromachined capacitivemicrophoneswithradiofrequencydetection."TheJournaloftheAcoustical Society of America116.2 (2004):828-842.

[11]AlSmadi,T.,&Al-Smadi,O.O.(2017).High-SpeedforDataTransmissioninGSMNetworksBasedonCognitiveRadio.AmericanJournalofEngineeringandAppliedSciences,10(1),69-77.


Recommended