Carte Real-Time Speaker Identification Evgeny Karpov

Real-Time Speaker Identification

Master of Science Thesis

Autor: Evgeny Karpov
Limbă: engleză
Legare: Carte broșată
Disponibilitate: La editor doar la comandă
Expediem în 17-27 zile
254.45 lei
The human speech conveys different types of §information. The primary type is the meaning or §words,...

Informații despre carte

Limbă
engleză
Legare
Carte - Carte broșată
Publicat
2008
Pagini
96
EAN
9783639100488
Enbook ID
06819055
Greutate
159
Dimensiuni
150 x 220 x 6

Descriere completă

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. 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.

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