Voice Recognition Sean Whittaker

Running head: VOICE RECOGNITION 1

Voice Recognition

Sean Whittaker

Institution

VOICE RECOGNITION 2

Research Outline

Thesis: Technology is changing so rapidly that it is hard for most companies to keep up. One

thing that they all use is voice recognition in almost all of their products. The ways they use this

is by playing back simple information, hands free device in cars, and even though it’s a slightly

different form of voice recognition, in major crime scenes caught on camera.

Topics:

1. Introduction

2. Playing back Simple Information

3. Hands Free in Cars

4. Crime Scenes Caught on Camera

5. Conclusion

VOICE RECOGNITION 3

Abstract

Voice Recognition software gives you the ability to use a phone, computer, or even TY

however, you chose. By using it through a phone whether it is apples, Siri, or Microsoft Cortana,

you have the ability to look up the weather, make calendar changes or even set alarms whenever

you choose. We first began to see voice recognition in our cars using Bluetooth, or having access

you the hands-free button on our respective steering wheels. Presently, Comcast, the cable and

network company, have released their own voice recognition which operates in a TV remote.

This allows users to speak into the remote in case they are having trouble finding a particular

show or station so speaking into the remote allows them to go straight to their program. Voice

recognition is advancing rapidly; all new technology is becoming to have it, or will have it. Even

Xbox or PlayStation, just regular gaming devices are gaining the software.

VOICE RECOGNITION 4

Voice Recognition

Because of the rapid changes in technology, it is important for companies to adapt. The

ability to stay on the course of technological advancement ensures that organizations are capable

of competing effectively on the market in the delivery of services to clients. One of the ways

through which they can adapt to changes is by incorporating voice recognition in their

technological framework. This can be achieved through the playback service on existent

operations, hands-free technology in automobiles and investigating crime scenes derived from

CCTV surveillance.

Voice recognition serves as a tool for the delivery of playback services by the needs of

the users. In most cases, the service utilizes a voice-activated application that can listen to the

user. Most technology companies have integrated the service into their systems to enhance the

level of comfort of their clients. Google has Google voice services, a service that captures sound

when activated. Activation of the service entails tapping the microphone button. The sounds are

sent to a buffering stage for word extraction. The design of the buffer allows it to hold data for a

short time. After extracting the words from audio, the results are delivered to Google through the

cloud feature. Google works on the results based on the expectations of the user (Auger, 2017).

The user’s Google account serves as a storage platform for the recorded audio. Amazon’s

Echo operates in the same way as Google voice services. However, it is a standalone system

activated by recognition of the name Alexa. After acknowledging the name, the device listens,

sends the audio to buffer and the extracted information sent to cloud for execution of the

intended purpose (Kulhalli et al., 2017). It can be incorporated in providing compiled weather

reports. Modern Smart TVs have two microphones to serve different functions. The first one

allows the owner to make commands whenever there is need to change a channel or adjust the

VOICE RECOGNITION 5

system’s volume. The second microphone, activated by pressing a button on a remote, listens to

audio and sends it to cloud for action.

The hand's free services developed as a mobile phone technology. It is presently run on

automobiles. From its name, it makes it possible for the user to control a vehicle without

necessarily incorporating hands. The service is normally delivered with the help of software. The

software is embedded in the physical framework of the vehicles. Some of the applications under

the service include controlling the universal temperature, navigating in unknown destinations and

playing entertainment systems. The process of controlling applications works by voice

command. Transmission of the voice command takes place with the help of the Bluetooth

technology. Advancement in the Bluetooth technology in automobiles has made it possible to

promote safer driving practices.

Vehicles run on the hand's free technology incorporate a microphone fixed on the

steering wheel to enable the process of transmitting commands to initiate specific applications.

Different kinds of software have different applications in the operation of applications in

vehicles. In some cases, the developed software can offer free options that allow the driver to

initiate diverse applications at the same time. Some of the benefits that can be achieved in the use

of the hand's free technology are navigating with the aid of the internet, conversing through texts,

activation, and entertainment system with a voice command, using a voice command to activate

a phone call and communicating with different applications in a vehicle. Voice recognition has

been incorporated to enhance the comfort of automobile company users (Fontan et al., 2017).

Modern vehicles in General Motors have a system that allows parents to make adjustments on

the volume of the radio, control and automobile’s speed and revoke some applications in case

seat belts are unfastened.

VOICE RECOGNITION 6

The voice recognition service makes it possible for forensic experts to extract

conversations from surveillance footages. In the quest for evidence, audio conversations play a

role in ensuring the attainability of an accurate match in the voice and the respective individual.

The technology of speech recognition allows for the reconstruction of chats from people on

screen irrespective of the unavailability of sound (Habbal et al., 2010). In this exercise, a

machine is programmed to extract words from the movement of lips. The technology has made

it possible to read people’s lips in artificial intelligence, hence lessening the workload entailed

during criminal and forensic investigations. The voice recognition technology can also be used in

confirming the identity of a masked criminal. The exercise is performed through voice analysis.

With the help of the technology, it is possible for security firms to investigate and track crimes

before they occur. They can do this by analyzing phone conversations. In centers prone to

fraudsters such as banks, voice biometrics can be incorporated to authenticate users.

Voice recognition is an accurate and fast technique during criminal investigations. The

processes entailed in need to gather intelligence includes arranging recorded voices, performing

scans in an attempt to associate voices to respective criminals, analyzing the sound by dialects

pertaining the specific language, analyzing and controlling the influence of noise and verifying

the validity of the recordings. This practice is performed on all voices, especially those with the

content of plans for executing criminal activities. The method of analyzing voices differs

depending on the phonetics derived from the potential victim. For all the applications of speech

recognition systems in surveillance scenes, audio content serves as proof of the crime. Voice

recognition has turned out to be an essential service for criminal investigation agencies (Velde,

2018)

VOICE RECOGNITION 7

Many companies across the globe are embracing voice recognition. The technology is

extending into the gaming realm for PlayStation. The hand's free technology is likely to be a

determinant for modern vehicles in the future. The likelihood of practicing safe driving with the

integrated technological service is likely to enhance its superiority on the market.

VOICE RECOGNITION 8

References

Auger, A. (2017). Voice recognition software: Verbal charting increases patient engagement.

Rdh, 37(12), 52.

Fontan, L., Ferrané, I., Farinas, J., Pinquier, J., Tardieu, J., Magnen, C., & ... Füllgrabee, C.

(2017). Automatic Speech Recognition Predicts Speech Intelligibility and

Comprehension for Listeners With Simulated Age-Related Hearing Loss. Journal Of

Speech, Language & Hearing Research, 60(9), 2394-2405. doi:10.1044/2017_JSLHR-S-

16-0269.

Habbal, A., Hamdi, I., Maytham, A. & Hamzeh, A. (2010). Hands-Free Searching Using Google

Voice. International Journal of Computer Science and Network Security, 10(8).

Kulhalli, K., Sirbi, K. & Patankar, A. (2017). Personal Assistant with voice recognition

intelligence. International Journal of Engineering Research and Technology, 10 (1).

Velde, N. V. (2018, February 21). Innovative Uses of Speech Recognition Today. Retrieved

from: https://www.globalme.net/blog/new-technology-in-speech-recognition

Place new order. It's free, fast and safe

Paper type

Deadline

Page count

550 words

Total price: $ 15.00

Our customers say

Jeff Curtis

USA, Student

"I'm fully satisfied with the essay I've just received. When I read it, I felt like it was exactly what I wanted to say, but couldn’t find the necessary words. Thank you!"

Ian McGregor

UK, Student

"I don’t know what I would do without your assistance! With your help, I met my deadline just in time and the work was very professional. I will be back in several days with another assignment!"

Shannon Williams

Canada, Student

"It was the perfect experience! I enjoyed working with my writer, he delivered my work on time and followed all the guidelines about the referencing and contents."