Real-Time Speaker Identification: Master of Science Thesis

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.