1. DIPLOMA THESIS DESIGN
VOICE INTERACTIONS IN A SMART HOME
Budapest University of Technology and Economics
Author: KARIM NAIRI
Supervisor: Dr Gabor Feher
11 January 2021
2. Presentation plan:
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1- Project display:
• Introduction
• Problem
• Requirements specification
2- Proposed solution:
• Traitement card
• Voice interaction card
• Block diagram of the system
3- Planning:
4- Work done
Conclusion
4. Introduction:
■ Voice control was a dream
■ Currently voice control is a reality and is accessible to the general public
■ Many manufacturers are trying to position themselves in the market
■ Google Home, Amazon Alexa, Apple Siri …
■ Speech Recognition and Speech Synthesis APIs have been developed
■ All the proposed systems are based on internet connection
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5. Voice Interaction in a smart house:
■ A smart person is someone who has the information and knowledge to solve a
problem.
■ A smart home needs the availability of information from its environment.
■ Depending on a given situation, actions are taken.
To have this we need:
A set of sensors are available according to user needs.
A program is designed to handle different cases.
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9. 9
Introduction:
Most of the Voice Interactive Response (VIR) applications use an Internet
connection.
During the search I discovered the MOVI: My Own Voice Interface card. It is a card
that allows recognition and speech synthesis based on a memory card without the
need for an internet connection.
This board will be the core for the realization of the project.
No internet connexion
Cheap
Scalable according to user needs
Security
13. SD Card:
■ The SD card is the essential part of the MOVI card
■ Training: MOVI’s Arduino library sends the training sentences in textual form
over the serial connection to the shield. The shield phonetizes the words in
each sentences using a 2 GB English dictionary that knows spelling rules and
approximates even for proper names.
■ Recognition: During recognition, a waveform comes in over the microphone
and is broken down into speech and non-speech regions. The speech regions of
the signal are then passed to a classifier that has been trained on hundreds of
adult speakers.
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19. LDR light test:
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We tried to introduce the possibility of artificial intelligence (AI)
20. DHT11 test:
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If the sensor is incorrectly connected or not functional, the system informs the
user.
21. PIR test:
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In this part we used the state of the PIR to light a lamp when
it is active, and do say ‘’Can I help you? ‘’ Except at the rising
front.
26. Conclusion:
■ Discovery of speech recognition and speech synthesis
■ Creation of a VIR system without an internet connection
■ The cost is about
■ The system can be used as:
A security system
A regulation system to control humidity, temperature, light,,,
…
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