The art of Tajweed and linguistic properties of Arabic has always been an interesting field for research. This project represents the problem of Quran recitation verification for Quran readers around the world. In this project real time Quran speech recognition will be used to solve this problem. A
Quranic Mistakes Helper
The art of Tajweed and linguistic properties of Arabic has always been an interesting field for research. This project represents the problem of Quran recitation verification for Quran readers around the world. In this project real time Quran speech recognition will be used to solve this problem. A mobile application that will recognized users recitation while reciting the Holy Quran and will match it with the stored Surah and As a reciter, user want an instant recognition of the mistakes, so that the system will alert when a reciter makes a mistake by beep alert and showing the option to listen the correct recitation instantly and can save the mistake for future The user must select Surah heshe is going to recite before starting the recitation from Surah Fajr to Surah Naas. Then, he/she will start recitation of the selected Surah. The system will detect mistakes and alerts user for mistakes if there are any, the user can listen to the correct recitation, can save, and listen to the mistakes.
The Quranic Mistakes Helper project will meet the following objectives:
The work will depend on two major steps.
Firstly, as a prerequisite to have a good background in signals, systems theory, and speech recognition, and to be related as much as possible with respect to research and experiments that have been already published. Its required to have the knowledge in the Quran manner and tones, since the system will be implemented for such a specific and finite set of verses.
Secondly along with the system implementation on the android devices, simulations will be held to ensure the correctness of each step during the process.
We use machine learning algorithms to solve our problems. We try to make something new with the Quran speech recognition field by finding the best algorithm to compare the contents of the input verses with the stored ones.
1- Collect the input speech via a microphone.
2- Filter the input speech from noise.
3- Digitize the filtered speech.
4- Extract the features.
5- Store the features vector in a database.
6- Feature matching from the input against the features vector stored in the database.
7- Decide the best match as the highest probability match of features vectors in the database.
8- If the verse does not match, then there is a beep alert and asking to listen to the correct verse and show the mistaken verse.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Software based project | Miscellaneous | 1 | 10000 | 10000 |
| Total in (Rs) | 10000 |
An humidity water generator (HWG) is a device that extracts water from hunid amb...
The spread of COVID-19 Pandemic Disease has created a most crucial global health crisis of...
A Quadcopter is a remote control aerial vehicle. These Vehicles have four arms and fi...
The online Tailoring system is a platform that will connect customers, tailors, and r...
This project ?The SMART MOVEABLE POUBELLE by using Raspberry Pi for solving waste problems...