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
Related Articles
- EP ID EP125858
- DOI -
- Views 79
- Downloads 0
The optimize load balancing in cluster computing.
In this paper we introduce the efficient load balancing algorithm which is helpful to distribute the packet of data to the group of slave processor for achieving the highest possible execution speed and proper ut...
ONLINE BUSINESS MANAGEMENT USING HYBRID CLOUD
Hybrid cloud combines the external public services and the internal private cloud providing services thereby enhancing the capabilities to secure, manage and govern the entire cloud spectrum. In this paper, online...
A SECURED SEARCHING IN CLOUD DATA USING CRYPTOGRAPHIC TECHNIQUE
Cloud computing is the long dreamed vision of computing as a utility, where users can remotely store their data into the cloud so as to enjoy the on-demand high quality applications and services from a shared pool of c...
An Efficient Face Recognition under Varying Image Conditions
Performance of the face verification system depends on many conditions. One of the most problematic is varying illumination condition. Making recognition more reliable under uncontrolled lighting conditions is one...
WEB PAGE CATEGORIZATION USING WEB MINING
The primary goal of the web site is to provide the relevant information to the users. Web mining technique is used to categorize users and pages by analyzing users behavior, the content of pages and order of URLs...