abstract

Echo cancellation is an essential part of present-day voice communication systems, and it has gained relevance against the background of the worldwide popularity of VoIP, teleconferencing, and hand-free, which are necessary to operate. Echo A delayed repetition of the voice of the speaker, known as such, may significantly worsen the quality of the hearing and hinder the efficiency of the communication process. The paper at hand thus also represents an in-depth analysis of the concepts and problems associated with echo cancellation. It deals with how echo is varied and what causes it, how adaptive filtering algorithms are designed and work and how their operation is managed, how residual echo can be controlled and double-talk cases can be handled, the practicalities of implementation, performance measures, to the newer adaptation of machine learning. The entire purpose will be to give an overall survey of present methodologies and to outline future avenues of development.