Speech Reinforcement In Communication

Speech reinforcement (near end listening enhancement) is required in practical scenarios such as mobile communication, railway announcement etc. Early speech enhancement techniques considered only a single zone scenario. However practical cases there exists multizone situation. In such a multizone situation speech can be degraded by various factors like noise, crosstalk from other sources, reverberation.

This if left unaltered affects effective communication. so here we designed a framework which is capable of cancelling crosstalk and reverberation. we then use a adaptive filter for noise cancellation. Simulations validate the optimality conditions and show clear benefit in multizone speech processing compared with unprocessed and single zone

INTRODUCTION

This speech reinforcement (near end listening enhancement) technology is gaining rapid interest in the research community .It is a requirement in practical scenarios such as in public address system, mobile communications, hearing aids and railway announcements etc.

An important goal in speech communication is to transmit a speech signal such that it is correctly understood by the receiver submerged in noisy environment. With a speech reinforcement system we are really trying to achieve is a high direct sound to reverberant sound ratio so that everyone hears direct sound at a significantly higher level than the reverberant sound level .when trying to achieve max speech intelligibility direct sound is important. Speech intelligibility is an important factor in the speech processing in order for the receiver to understand .unfortunately the speech intelligibility can be harmed by background noise. While a decrease in speech intelligibility can be annoying in a public address system it can be dangerous for voice alarms in a fire detection system. Therefore there arises the need for speech

A practical scenarios consists of several zones. in such a framework signals from one zone can leak into other zones (crosstalk), causing intelligibility or quality degradation. Current source based systems only consider a single playback region where some kind of speech reinforcement is provided. In order to perform such a task the system should be capable of first estimating the noises and other disturbances which can interfere with our clean speech and reinforce it