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Abstract:
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Speech is the primary, most prominent and convenient means of communication in
audible language. Through speech, people can express their thoughts, feelings or perceptions by
the articulation of words. Human speech is a complex signal which is non stationary in
nature. It consists of immensely rich information about the words spoken, accent, attitude of
the speaker, expression, intention, sex, emotion as well as style. The main objective of
Automatic Speech Recognition (ASR) is to identify whatever people speak by means of
computer algorithms. This enables people to communicate with a computer in a natural spoken
language.
Automatic recognition of speech by machines has been one of the most exciting,
significant and challenging areas of research in the field of signal processing over the past five
to six decades. Despite the developments and intensive research done in this area, the
performance of ASR is still lower than that of speech recognition by humans and is yet to
achieve a completely reliable performance level. The main objective of this thesis is to develop
an efficient speech recognition system for recognising speaker independent isolated words in
Malayalam. |