SPEECH SIGNAL
PROCESSING
Abstract:
The application presentation deals with bringing out the importance of basic
concepts of Signals and Systems in the field of speech communication and
its contribution to the technological advances.
Introduction
Speech processing typically involves a basic representation of a speech signal in a
digital domain which requires limiting the band width of the signal, sampling it
at a certain corresponding rate and storing each sample with an adequate
resolution.
But our focus in the field of speech processing is in communication.
Speech can be represented in terms of a signal carrying some message content or
information.
Speech signals can be thought of signals in both continuous and discrete domain.
Speech signals are produced by our vocal cords and are transmitted from
speaker to listener due to the pressure waves that are propagated through
air resulting in the form of continuous or analog signals.
Speech when stored as digital information in computers are represented in
the form of discrete signals i.e. using integers as the independent
variable.
The basic ideas behind speech communication system are
1. Transmission
2. Storage and
3. Processing
Generally all disciplines of signal analysis involve the following steps :-
Production of the signal from an information source like Speech delivery
Signal representation in natural domains
Signal representation in transform domains to get better understanding of
the concepts which are not observable in natural domain. Speech can be
represented as a waveform or in terms of bits for digital storage.
Finally extraction and utilization of the information. Example :- In the
field of speaker verification the identity of the speaker is the
information.
In conclusion, some of the aims in the field of speech processing is efficient
speech transmission, economical digital storage and improved communications.
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