Abstract:
Automatic Speech Recognition has found
its application on various aspects of our daily lives such
as automatic phone answering service, dictating text and
issuing voice commands to computers. Speech
recognition is one of the fastest developing fields in the
framework of speech science and engineering. Also, in
computing technology, it comes as the next major
innovation in human computer interaction. However, in
speech signal processing, Pre-processing of speech plays
a vital role in development of an efficient automatic
speech recognition system. Nowadays, Humans are able
to interact with computer hardware and other machines
through human language. In view of the above,
researchers are putting efforts to develop a perfect and
efficient speech recognition system but machines are
unable to match the performance of human utterances in
terms of accuracy of matching and speed of response.
Therefore, preprocessing of signal is based on number of
applications and drawback of the available techniques of
ASR systems. Hence, the process of preprocessing in
speech recognition discussed in the study includes: Noise
removal, Voice Activity Detection, Pre-emphasis,
Framing and Windowing.
