Title

Wireless Microphone System with Voice Detection

Lead Author Major

Engineering Physics B.S.

Lead Author Status

Senior

Second Author Major

Computer Engineering B.S.

Second Author Status

Senior

Faculty Mentor Name

Rahim Khoie

Faculty Mentor Department

SOECS

Additional Faculty Mentor Name

Elizabeth Basha

Additional Faculty Mentor Department

SOECS

Abstract/Artist Statement

The purpose of our project is to create a system that can distinguish between a human voice and background noise in an audio sample. The audio sample is collected using a microphone and sent wirelessly using transceivers paired with microcontrollers using SPI communication. The system distinguishes between a human voice and noise using the standard deviation of the audio sample. An experiment was conducted showing that the human voice has higher standard deviation when compared with typical background noises. The microcontroller that receives the audio sample calculates the standard deviation of the sample and then signals the user if the sample is a human voice or background noise. The result is confirmed by outputting the audio sample as an analog signal through an audio jack. The digital audio sample is converted into analog using a digital-to-analog-converter and amplified by an audio amplifier.

Location

School of Engineering & Computer Science

Start Date

7-5-2022 2:30 PM

End Date

7-5-2022 4:00 PM

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May 7th, 2:30 PM May 7th, 4:00 PM

Wireless Microphone System with Voice Detection

School of Engineering & Computer Science

The purpose of our project is to create a system that can distinguish between a human voice and background noise in an audio sample. The audio sample is collected using a microphone and sent wirelessly using transceivers paired with microcontrollers using SPI communication. The system distinguishes between a human voice and noise using the standard deviation of the audio sample. An experiment was conducted showing that the human voice has higher standard deviation when compared with typical background noises. The microcontroller that receives the audio sample calculates the standard deviation of the sample and then signals the user if the sample is a human voice or background noise. The result is confirmed by outputting the audio sample as an analog signal through an audio jack. The digital audio sample is converted into analog using a digital-to-analog-converter and amplified by an audio amplifier.