N. Sivaprasad

Work place: National Institute of Technology Warangal, Warangal-506004, India

E-mail: nsprasad@nitw.ac.in

Website:

Research Interests: Computer systems and computational processes, Speech Recognition, Speech Synthesis, Data Structures and Algorithms

Biography

Siva Prasad Nandyala received the B.Tech Degree in Electronics & Communication Engineering from Jawaharlal Nehru Technological University Hyderabad and Master of Technology in Systems and Signal Processing Electronics from JNTUCEH. Presently he is a research scholar in the department of ECE, National Institute of Technology Warangal.

He worked in WIPRO technologies in VLSI domain for two years. He is having more than 10 publications. His area of interest includes speech recognition, speech emotion recognition and speech enhancement.

Author Articles
A Survey on Statistical Based Single Channel Speech Enhancement Techniques

By Sunnydayal. V N. Sivaprasad T. Kishore Kumar

DOI: https://doi.org/10.5815/ijisa.2014.12.10, Pub. Date: 8 Nov. 2014

Speech enhancement is a long standing problem with various applications like hearing aids, automatic recognition and coding of speech signals. Single channel speech enhancement technique is used for enhancement of the speech degraded by additive background noises. The background noise can have an adverse impact on our ability to converse without hindrance or smoothly in very noisy environments, such as busy streets, in a car or cockpit of an airplane. Such type of noises can affect quality and intelligibility of speech. This is a survey paper and its object is to provide an overview of speech enhancement algorithms so that enhance the noisy speech signal which is corrupted by additive noise. The algorithms are mainly based on statistical based approaches. Different estimators are compared. Challenges and Opportunities of speech enhancement are also discussed. This paper helps in choosing the best statistical based technique for speech enhancement.

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