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Incorporate Voice Recognition into an Electronic Children's Book

Bring together existing Voice Recognition (VR), Voice Generation (VG), and Voice Comparison (VC) software, compile it, and put it into an off the shelf Android-type MCU/ROM/RAM IC, which can then be installed in an existing Automatic Reader children’s book to aid in language learning.

The IC will be installed in an automated children’s book. The book, which is already on the market incorporates an “automatic electronic reader” device. The device has a speaker and microphone, a small MCU and 64k of internal memory. There are light sensors in the back of the book which let the device know which page is open. The device reads the text on the open page in English and one other language, or plays back the student’s own voice recording.

Easy English Detailed Instructions:

1. The device speaks a word or phrase from the children’s book, which contains approximately 900 English words

2. The student repeats the word or phrase.

3. The device compares the student’s pronunciation with the standard pronunciation (my voiceover) which resides in the memory.

4. The quality of the student’s pronunciation is graded internally from 10% to 100% in 10% increments.

5. There will be 3 small LED lights on the device: Red, Yellow, and Green. For a student pronunciation grade from the 10% to 30% level, the RED LED will light. For a pronunciation grade from the 40% to 70% level, the YELLOW LED will light. For a pronunciation from the 80% to 100% level, the GREEN LED will light.

6. The VG comments of a particular word or phrase are based on the quality of the pronunciation (as specified in point #3 above). AND, If this is the 2nd or 3rd or 4th reading of that particular word or phrase by the student, the MCU will compare the grade on this reading with the grade on the previous reading.

7. The device gives encouragement based on the student’s progress or lack thereof from reading #1 to #2 to #3 to #4.

8. The quality of the student’s pronunciation is graded based on smootheness of response and accuracy of pronunciation

9. The student will have up to 4 chances to read the word or phrase to score a green light. As soon as he scores a green light, the device comments on the student’s wonderful pronunciation and then moves on to recite the next phrase.

10. If the student’s pronunciation grade declines, appropriate comments are made for the student to please focus more, etc.

11. Based on the level and progress the student is making, there will be maybe 40 different words and phrases of encouragement which the device will be programed with, which it can chose from to say to the student, like: “Your pronunciation still needs work,”

8, The quality of the student’s pronunciation, will determine the number of times each word or phrase is repeated. The better the student’s proununciation, the fewer times he will need to repeat it and the faster the student can move through the text.

9. The color of LED light that the student achieves will determine which language the device will use to speak to the student. For example for a Chinese student learning English as a second language, while the student is responding at the RED or YELLOW level (10% up to 70% level), the words of encouragement will spoken by the device in Chinese. When the student reaches the level of Green (80% - 100%) the words of encouragement will be spoken in English.

Electronic System Details:

The device is powered by a 3.6 volt rechargeable battery

Select the most commonly used Android-type chip available,. The chip will need to process information quickly.

Software to be completely compatible with the MCU and memory. Then compile it into machine language so it can be burned into the MCU.

Software format which can accommodate different languages.

Micro SD card slot in the device for easy installation of different languages.

After the correct MCU is selected, and the program is written, it will need to be tested and debugged.

PLEASE NOTE: The engineer will need to select an MCU and program it with the voice recognition, voice generation, and voice comparison firmware.
Thank you,

Habilidades: Eletrônica, Software Integrado, Microcontrolador, MySQL, Teste de Software

Ver mais: yellow software, voice to text android, voiceover voice, sd card reader for android, rom for android, recording voiceover, recognition language, micro focus, led generation, learning english language, format sd card for android, format sd card android, card reader for android, android voice to text, android sensors, android sd card format, android sd card, android format sd card, android development book, android 5.0 rom, VR, vr android, VOlt, voiceover in english, voice process

Acerca do Empregador:
( 0 comentários ) Salt Lake City, China

ID do Projeto: #5128179

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