A Survey on Statistical Based Single Channel Speech Enhancement Techniques

A Survey on Statistical Based Single Channel Speech Enhancement Techniques

Автор: Sunnydayal. V, N. Sivaprasad, T. Kishore Kumar

Журнал: International Journal of Intelligent Systems and Applications(IJISA) @ijisa

Статья в выпуске: 12 vol.6, 2014 года.

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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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Speech Enhancement, Wiener Filtering, MMSE Estimator, Bayesian Estimators, Maximum A Posteriori (MAP) Estimators

Короткий адрес: https://sciup.org/15010640

IDR: 15010640

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