PROJECT TITLE :

Parametric Spatial Sound Processing: A flexible and efficient solution to sound scene acquisition, modification, and reproduction

ABSTRACT:

Flexible and efficient spatial sound acquisition and subsequent processing are of paramount importance in Communication and assisted listening devices such as mobile phones, hearing aids, smart TVs, and emerging wearable devices (e.g., smart watches and glasses). In application scenarios where the number of sound sources quickly varies, sources move, and nonstationary noise and reverberation are commonly encountered, it remains a challenge to capture sounds in such a way that they can be reproduced with a high and invariable sound quality. In addition, the objective in terms of what needs to be captured, and how it should be reproduced, depends on the application and on the user?s preferences. Parametric spatial sound processing has been around for two decades and provides a flexible and efficient solution to capture, code, and transmit, as well as manipulate and reproduce spatial sounds.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here


PROJECT TITLE : ESVSSE Enabling Efficient, Secure, Verifiable Searchable Symmetric Encryption ABSTRACT: It is believed that symmetric searchable encryption, also known as SSE, will solve the problem of privacy in data outsourcing
PROJECT TITLE : All-Pass Parametric Image Registration ABSTRACT: Many practical applications involving the capture of numerous linked images necessitate image registration. In this paper, we present a strategy for dealing with
PROJECT TITLE :Application of Manifold Separation to Parametric Localization for Incoherently Distributed Sources - 2018ABSTRACT:By using the manifold separation technique (MST), we develop a computationally efficient nonetheless
PROJECT TITLE : Image segmentation using parametric contours With free endpoints - 2016 ABSTRACT: In this paper, we introduce a unique approach for active contours with free endpoints. A theme for image segmentation is presented
PROJECT TITLE : Theoretical analysis of penalized Maximumlikelihood patlak parametric image Reconstruction in dynamic pet for lesion detection - 2016 ABSTRACT: Detecting cancerous lesions may be a major clinical application

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry