Improved Speech communication in a car using DSP

Published on 18 Apr 2022. Written by Mukka Mugdha

ABSTRACT

In newly manufactured cars a lot of effort is put on reducing the background noise so that the person in the front seat can hear the voice from the rear seat. The main intension of this DSP project is to increase the audibility between the driver and the rear seat persons. This system is implemented in DSP –system in a test car, a microphone is placed in front of the driver to collect the speech and this microphone filters and remove the main part of the background noise. And loudspeakers are placed in the rear for the passenger to listen from the driver, there is a delay in sound of the driver to reach the passenger which makes the right voice of the driver. This evaluated system shows that there is increased audibility along with the no change in background noise.

SLNOTE
INTRODUCTION

Having communication between the driver and the rear seat passenger is more important. In this model is a real-time communication system placed between the front and rear seat. And in the microphone, a method to reduce the background noise is also developed. The main purpose of this model is to investigate the possibility of enhancing the communication between the passengers inside a car. The aim was to introduce the communication system in the car. This communication is limited to the driver and the rear seat passenger. This task is divided into three parts, the speech microphone signals, the speech direction and implementation of communication enhancement system by using these two parts.

SLLATEST
Our brain uses various methods to identify the sound coming from. A human can hear a sound range of 20-20,000 Hz as like the different speech sounds have different intensities and these are filtered by nose, palate and mouth in different ways. In this model, the main goal was to improve speech communication in the car. In a car, there are four noises which we hear they are road noise, wind noise, engine noise and other musical and speech noise. While travelling on different roads and with different acceleration the intensity of the sound changes. And these all come under low-frequency regions. The microphone consists of filters to remove the noises of different intensities.

CONCLUSION

The coherence between the monitor signal and tested references are low to suppress noise efficiently for frequencies above 300 Hz with an algorithm. A high pass filter with cutoff frequency will suppress the background noise without affecting the speech negatively. By using the microphone arrays, the large distance between the individual is needed to suppress low-frequency noise by increasing the distance between the microphones the distance to the speaking persons become large. This makes us use several microphones instead of using one in this application.

SLDYK
Kit required to develop Improved Speech communication in a car using DSP:

Technologies you will learn by working on Improved Speech communication in a car using DSP:

Improved Speech communication in a car using DSP

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