ABSTRACT
In today's world, speech recognition has become very popular and important, speech plays a vital
role in human to system and machine communication, speech signal is transformed from analog
to digital wave form, which can be understood by the system or machine. , ,
The development of a speech recognition system for toilet flushing using Mel Frequency Cepstral
Coefficient (MFCC) technique, has become a necessity as the physically challenged ones
(handicap), individuals suffering from osteonecrosis and osteoporosis, the aged ones in the society
are not exempted in the agony and continuous pain experienced in flushing water closet toilet after
usage. Mel Frequency Cepstral Coefficient (MFCC) technique will be used due to its wide
acceptance in speech processing. It has high recognition accuracy in speech feature extraction and
has high performance rate with l9w complexity.
This technology serve as means of controlling water closet toilet flushing operation without
manual intervention. The project will make life more comfortable for the physically challenged
ones (the handicap), people living with disease like osteonecrosis and osteoporosis and the aged
ones. It will be of great help for them to use speech as a medium of controlling the flushing
operation of their water clos~t toilet.
This project was developed with the use of MATLAB software, which was programmed to
recognize spoken word for the flushing of water closet toilet, it replaces manual means through
the use of speech for the user. The system is trained to be speaker independent. In the system
training, MFCC feature extraction technique is employed. The components used are 5V DC
submersible water pump, for controlling the water chamber of the water closet for flushing,
2N2222A Transistor for switch operation, PIC16F628A microcontroller and a Liquid Crystal
Display (LCD, 16X2) to display the state of operation of the system. The implementation of this
project was done and tested using a model water closet toilet system to show its reliability and
efficiency.
BABATUNDE, A (2021). A Microcontroller Based Speech Recognition System Using Mel Frequency Cepstral Coefficient Algorithm. Afribary. Retrieved from https://track.afribary.com/works/a-microcontroller-based-speech-recognition-system-using-mel-frequency-cepstral-coefficient-algorithm
BABATUNDE, ADEWUMI "A Microcontroller Based Speech Recognition System Using Mel Frequency Cepstral Coefficient Algorithm" Afribary. Afribary, 19 May. 2021, https://track.afribary.com/works/a-microcontroller-based-speech-recognition-system-using-mel-frequency-cepstral-coefficient-algorithm. Accessed 23 Nov. 2024.
BABATUNDE, ADEWUMI . "A Microcontroller Based Speech Recognition System Using Mel Frequency Cepstral Coefficient Algorithm". Afribary, Afribary, 19 May. 2021. Web. 23 Nov. 2024. < https://track.afribary.com/works/a-microcontroller-based-speech-recognition-system-using-mel-frequency-cepstral-coefficient-algorithm >.
BABATUNDE, ADEWUMI . "A Microcontroller Based Speech Recognition System Using Mel Frequency Cepstral Coefficient Algorithm" Afribary (2021). Accessed November 23, 2024. https://track.afribary.com/works/a-microcontroller-based-speech-recognition-system-using-mel-frequency-cepstral-coefficient-algorithm