scilab code for speech enhancement using kalman filter
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scilab code for speech enhancement using kalman filter
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Revolutions Applications such as telecommunications, hands-free communications, recording, etc. Which need at least one microphone, the signal is often infected by noise and echo. The important application is speech improvement, which is done to eliminate suppressed noises and echoes taken by a microphone, next to the preferred speech. Consequently, the microphone signal has to be cleaned using DSP digital signal processing tools before it is reproduced, transmitted or stored. So far, engineers have tried different approaches to improve speech by retrieving the desired voice signal from noisy observations. Especially the mobile communication, so in this work we will perform the reconstruction of the voice signal, observed in the background noise additive, using the Kalman filter technique to estimate the parameters of the Autoregressive Process (AR) in the model State space and the speech output signal obtained by The MATLAB. Accurate estimation by the Kalman filter over speech would improve and reduce noise, then compare and discuss the results between the actual values and the estimated values produced by the reconstructed signals.
SPEECH is a form of communication between human civilizations that has existed for a long time until now and continues to be the most desirable means of communication between human beings. Humans live in the era of digital information, so speech applied to different technologies such as network phone, cellular and satellite technology with digital speech, have been widely used today because the information stored in a Compressed digital form is transmitted, It is easier to process. However, humans are always looking for high quality, so telecommunication researchers / engineers are trying different approaches to improving and improving voice signals. To achieve this improvement, Sridharan, Leis and Paliwal stated that the main attributes of a voice encoder such as bit rate, subjective quality, complexity, delay, error. Sensitivity and bandwidth must be met. Therefore, in this article, research would investigate the powerful technology known as the Kalman filter , which is also known as a mathematical tool that can play an increasingly important role in speech processing.
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