SPEECH ENHANCEMENT USING PARTICLE FILTERS:A CRITICAL REVIEW
Journal Title: Indian Journal of Computer Science and Engineering - Year 2015, Vol 6, Issue 3
Abstract
Speech Enhancement refers to improvement in quality of a degraded speech signal in broad sense, however the aim is not only improvement of intelligibility but also overall quality, widely applied in de-reverberation, voice recognition systems, data matching in investigative fields and recovery of missing information i.e speech reconstruction. This paper presents a literature review of speech enhancement techniques, of all the methods available to us today ,we particularly concentrate on adaptive filtering method, due to successive implementation of Kalman filter in recent years and current research that has been carried on over particle filter this paper reviews the comparisons of the two. It has been observed that particle filters outperforms Kalman filters when it comes to non-linear ,non Gaussian noise removal.though the limitation is number of particle in particle filter.
Authors and Affiliations
Rashi Singh , Agya Mishra
Keywords
Related Articles
- EP ID EP100739
- DOI -
- Views 142
- Downloads 0
MINING OF ECG SIGNAL FOR NEW DIAGNOSTIC INFORMATION
This paper investigates a technique, which extracts new features having potentiality for giving more discriminatory clues from simple ECG (Electrocardiogram) signals. The extracted feature parameters, Average RR Signal M...
DETECTION AND CLASSIFICATION OF TUMORS IN CT IMAGES
Image segmentation is the process of partitioning a digital image into multiple segments or set of pixels. The objective of image segmentation is to group pixels into a prominent image region. In this paper, segmentation...
Ranking Techniques for Social Networking Sites based on Popularity
Web contains large number of information in it. Extracting necessary information from the web becomes difficult task. Search engines help to retrieve information from the web. But the information retrieval by the search...
Comparison of Color Features for Image Retrieval
Content based image retrieval (CBIR) systems are used for automatic indexing, searching, retrieving and browsing of image databases. Color is one of the important features used in CBIR systems. An experimental comparison...
IDENTIFYING NETWORK LOAD BALANCING REQUIREMENTS ON HISTORICAL TRAFFIC FLOW USING MACHINE LEARNING APPROACH FOR FLEXIBLE MULTIPATH NETWORKS
Multipath routing uses several paths to distribute traffic from a source to destination. This not only improves network performance but also achieves load balancing and fault tolerance. Though multipath routing is not de...