Estimation of Quality and Intelligibility of a Speech Signal with varying forms of Additive Noise

Abstract

In this concerned article, we will focus on performance and comprehensibility improvement strategies. To seek the masking skills, different types of techniques are used. Masking is used to reduce noise in the voice signal and specific sounds are applied to the voice signal. Different techniques were developed to compensate different noises, whether stationary or non-stationary. It provides two types of algorithms in general. Periodic signal and combination filter are the first algorithm. There, a regular signal combines the speech signal, and the output is sent through the filter of the mixture. The ends of any audio signal are used for the second type of algorithm. The second algorithm uses some noise (white(or) brown(or) pink) modulated by the voice envelope on the amplitude.

Noise Distribution Mapping and Ideal Settlement in the Airport Area

“…Measurements were made with EM.SLM (Environment Sound Level Meter) [17][18][19][20][21][22][23] at different time and settlement samples where measurements are made in the morning, starting at 08.00 and 10.00, which are considered to represent the time period of 06.00 and 12.00. Then, in the afternoon and evening with a measurement time of 13.00 and 16.00, which is considered to represent the time range of 12.00 until 18.00.…”