Real-Time Speaker Identification
Master of Science Thesis
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The human speech conveys different types of information. The primary type is the meaning or words, which speaker tries to pass to the listener. But the other types that are also included in the speech are information about language being spoken, speaker emotions, gender and identity of the speaker. Nowadays, speaker identification is not anymore just a theory. Applications based on it are widely used around the word and found their appropriate places in the industry. But even though a lot of work has already been done in this field, it is still not a solved problem. The research in thearea of ...
The human speech conveys different types of
information. The primary type is the meaning or
words, which speaker tries to pass to the listener.
But the other types that are also included in the
speech are information about language being spoken,
speaker emotions, gender and identity of the
speaker. Nowadays, speaker identification is not
anymore just a theory. Applications based on it are
widely used around the word and found their
appropriate places in the industry. But even though
a lot of work has already been done in this field,
it is still not a solved problem. The research in the
area of speaker identification still continues and
at present there are a few basic techniques that
have shown their effectiveness in practice and called classical by scientists. The goal of this work is
to make general overview of these techniques and
then analyze them from the real time system point of
view. The main requirement, which is set by real-
time system, is a fast identification time.
Therefore, the main emphasize in this work is set on
the optimization approaches for identification
algorithms.
information. The primary type is the meaning or
words, which speaker tries to pass to the listener.
But the other types that are also included in the
speech are information about language being spoken,
speaker emotions, gender and identity of the
speaker. Nowadays, speaker identification is not
anymore just a theory. Applications based on it are
widely used around the word and found their
appropriate places in the industry. But even though
a lot of work has already been done in this field,
it is still not a solved problem. The research in the
area of speaker identification still continues and
at present there are a few basic techniques that
have shown their effectiveness in practice and called classical by scientists. The goal of this work is
to make general overview of these techniques and
then analyze them from the real time system point of
view. The main requirement, which is set by real-
time system, is a fast identification time.
Therefore, the main emphasize in this work is set on
the optimization approaches for identification
algorithms.
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