A Research of Noise Estimation and Removal Techniques for Speech Signal
B.P. Mishra1, Laxman Singh2, Spoorti J. Jainar3, Nagaraja B. G.4

1B.P. Mishra, Department of Elect. & Comm. Engineering, JSS Academy of Technical Education, Noida (U.P), India.
2Laxman Singh, Department of Elect. & Comm. Engineering, Noida Institute of Engg., & Technology, Greater Noida (U.P), India.
3Spoorti J. Jainar, Department of Elect. & Comm. Engineering, JSS Academy of Technical Education, Noida (U.P), India.
4Dr. Nagaraja B. G., Department of Elect. & Comm. Engineering, Jain Institute of Technology, Davanagere (Karnataka), India.
Manuscript received on 20 July 2019 | Revised Manuscript received on 03 August 2019 | Manuscript Published on 10 August 2019 | PP: 718-721 | Volume-8 Issue-2S3 July 2019 | Retrieval Number: B11330782S319/2019©BEIESP | DOI: 10.35940/ijrte.B1133.0782S319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: In this paper, authors made an attempt to implement the active noise control technique (ANC) to decrease the amplitude of noise communicating through the environment using an electro-acoustic (EA) system with the help of measurement sensors such as microphones and output actuators such as loudspeakers. In general, the noise signal is generated from ambient; therefore, it is easy to detect the noise in the vicinity of its source. The main objective of developing the ANC system is to generate an “anti-noise” that reduce the unwanted noise in a desired quiet region using an appropriate adaptive filter. The simulations were performed in the MATLAB 2015 environment and satisfactory results were obtained using the proposed technique. The problem under study is different from traditional adaptive noise cancellation techniques in two ways. Firstly, it is not possible to measure the desired response of a signal directly measured; only the signal with reduced magnitude is present. Secondly, the ANC system is required to take into consideration the secondary loudspeaker-to-microphone error (LME) path in its adaptation.
Keywords: Speech Signa Estimation Environment Control Measurement.
Scope of the Article: Speech interface; Speech processing