Speech Enhancement: A Review of Various Approaches, Trends, and challenges

Speech is considered the most important way for communication between humans. However, various types of noise degrade speech signals and reduce speech clarity. Usually, speech should be clear as much as possible to be used in the application at hand such as mobile telephony, Tele-communication and hearing aids systems, smart phone applications. Speech enhancement techniques aim to enhance the clarity and quality of speech, thereby improving its overall intelligibility. This is performed using various speech enhancement algorithms (SEA) like filtering, spectral subtraction, and deep learning techniques. This paper provides a brief review on different SEA, and it contains the study of several enhancement models with a discussion of their properties. An investigation of the enhancement process in time and transform domain is performed. Some basic types of background noise are explained with providing a brief description of the challenges and opportunities of speech enhancement processes. The presented paper relates to several research studies in the field of speech enhancement, observed up to 2024. This paper presented the use of enhancement techniques for suppression process through judging several enhancement algorithms for getting the best performance.