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6) Both business and consumer have accept the use of VR very well on mobile devices and in-home assistant products.

7) The popularity of smartphones has encourage the development of VR technology into consumer pockets.

8 ) While home devices, like Google Home and Amazon Echoz brought voice recognition technology into living rooms and kitchens.

9) It is combined with the growing stable of internet and IIoT, has added a technological layer to many consumer products that previously lacked any smart capabilities

10) While voice recognition technology originated on PCs, it has gained acceptance in both business and consumer spaces on mobile devices and in-home assistant products.

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- NUR AINA AFIFAH BINTI RIDHUAN

- NUR HADIRAH BINTI MOHAMMAD HANAPIAH

- NIK ALIA IZZATI BINTI RUZAMAN

- WAN 'ASFA SALSABILA BINTI WAN ZULKIFLE

- NUR ADILAH BINTI MOHD SHAHRIR

- NUR IRDEENA BINTI MOHD RIZAL

- NUR AQILAH ATIKAH BINTI SULAIMAN

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1)Voice recognition software on computers requires that analog audio be converted into digital signals, known as analog-to-digital conversion
2)For a computer to decipher/identify a signal, it must have a digital vocabulary, word /syllables database, for comparing this data to signals
3) The digital database is stored on the hard drive and it’s loaded into memory when the program is run.
They used huge database to store 1 million of words and phrases .
Have lightning fast CPVs to understand what you mean.
4) A comparator checks these stored patterns against the output of the A/D (analog digital )converter an action called pattern recognition
5)The effectiveness of a voice recognition program's is directly related to the random access memory capacity of the computer.
6) If use a bigger RAM is more faster.

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THE DISADVANTAGES OF VOICE RECOGNITION SYSTEM

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THE DISADVANTAGES OF VOICE RECOGNITION SYSTEM

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1) Lack of accuracy and misinterpretation. It cannot always differentiate between a homonym, such as "accept" and "except". It may also have problems with slangs.

2) Background Noise Interference. To get the best out of voice recognition software, we need a quite environment. System don't work so well of there is a lot of background noised. They may not able to differentiate between our voice or other ambient noise.

3) It will require more RAM and faster processors than are currently available in personal computers.

4) It doesn't keep privacy because it does not suit a crowded environment.

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GOOGLE VOICE
✔ A service that allows you to search and ask questions on your computer, tablet, and phone.
✔ You only need a microphone and speaker to use it.
✔ If you are busy,just click to the microphone button on Google and speak whatever you want.
✔ Mostly people use this advantage to make some reasearches.

CAR BLUETOOTH
✔  Certain cars have Bluetooth or Handsfree phone pairing.
✔ Make commands, such as "call my wife" to make calls without taking your eyes off the road

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Automated phone system

'Many companies today use phone systems that help direct the caller to the correct department
∙If you have ever been asked something like "Say or press number 2 for support" and you say "two," you used voice recognition '

- More formally known as interactive voice response systems
- Any telephone system that interacts with callers without input from a human other than the caller. More specifically, interactive voice response, or IVR, is the technology that automates telephone contact between humans and machines.

Consideration
Though automated phone systems offer a number of benefits for businesses, nonprofits and others, these systems have plenty of critics. Outbound automated phone systems have the potential to annoy consumers, and poorly configured systems can leave people listening to silence or receiving multiple calls during which the system simply hangs up.

DIGITAL ASSISTANT

∙Amazon Echo, Apple's Siri, and Google Assistant use voice recognition to interact with digital assistants that helps answer questions

A digital assistant, also known as a predictive chatbot, is an advanced computer program that simulates a conversation with the people who use it, typically over the internet.

Digital assistants use advanced artificial intelligence (AI), natural language processing, natural language understanding, and machine learning to learn as they go and provide a personalized, conversational experience.

Combining historical information such as purchase preferences, home ownership, location, family size, and so on, algorithms can create data models that identify patterns of behavior and then refine those patterns as data is added. By learning a user’s history, preferences, and other information, digital assistants can answer complex questions, provide recommendations, make predictions, and even initiate conversations.

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1976

Computers could only understand slightly more than 1,000 words.

1980

That total jumped to roughly 20,000 as IBM continued to develop voice recognition technology.

1990

The first speaker recognition product 'DragonDictate' was launced by Dragon.

1996

IBM introduced the first voice recognition product that

could recognize continuous speech.

2000

Google launched its Voice Search app for the iPhone. Three years later, Apple introduced Siri, which is now a prominent voice recognition assistant.

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THE ADVANTAGES OF VOICE RECOGNITION SYSTEM

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THE ADVANTAGES OF VOICE RECOGNITION SYSTEM

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1) Allow consumers to do multitask by speaking directly to a voice recognition technology.

2) Voice Recognition technology can quickly turn our spoken work into a written text.

3) Voice recognition will boosts our productivity in many of our work.

4) Will reduces wasted time

5) It can capture speech much faster than you can type

6) This software is able t o spell the same ability as any other writing tool.

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Voice recognition systems is the ability of a machine or program to receive and interpret dictation or to understand and carry out spoken commands.

It enable consumers to interact with technology simply by
speaking to it, enabling hands-free requests, reminders and other simple tasks.