Treffer: An exhaustive examination of automatic speech recognition.

Speech is nature gift to the human being to differentiate with other creatures on the earth. Speech research stands out as one of the most daunting fields amidst numerous challenging research domains. This current analysis of existing literature aims to provide insights for future endeavors within the global speech research community. The study delves into various challenges associated with speech corpora, front-end algorithms aimed at efficient speech representation, and back- end engines tasked with the recognition process. Thirteen speech corpora undergo scrutiny concerning factors such as language diversity, duration, developmental progress, and accessibility. Furthermore, this research review illuminates potent methodologies that foster the extraction of rich features and bolster robust speech recognition capabilities. This gives an idea on how various methods are available to recognize speech in an effective way. [ABSTRACT FROM AUTHOR]

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