Determination of Noise Levels in Using AMS Features of Noisy Speech Signal and Their Comparison
Journal Title: International Journal of Advanced Research in Computer Engineering & Technology(IJARCET) - Year 2012, Vol 1, Issue 5
Abstract
Great difficulty in recognizing speech is under a noisy background. The signal to noise ratio plays a very important role in speech recognition techniques. The signal to noise ratio is the ratio of the signal estimate to noise estimate in a particular speech signal. It has many applications in speech recognition techniques and speech pattern classification schemes. This project helps in finding the signal to noise ratio estimates between the noises and reconstructed noise free speech segment In this phase the amplitude modulation spectrogram features are extracted from the noisy speech segment and they are classified into noise dominated and signal dominated features using baye’s classifier. The classified features are reconstructed using overlap and add method. The signal to noise ratio is calculated between the reconstructed speech segment and the noises that the speech segment is corrupted.
Authors and Affiliations
Mrs. Anusha Krishna Prakash,
Keywords
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