| 摘要 |
<p>Said method comprises the following stages: 1. Preprocessing (602) the audio sequence, which involves the steps of eliminating frequencies above a predetermined value with a low-pass filter and digitizing the signal in an analog/digital converter; 2. Extracting parameters(301 ) representing the audio sequence with the purpose of obtaining a parameter vector Ot especially adapted to the intended identification approach; 3. Computing abstract descriptors (302) representing parameter vector Ot, which have been implemented as Hidden Markov Models optimized by the use of a database defining abstract descriptors (303), which has been generated during prior execution of a first phase in method learning mode; 4. Identifying (605) audio sequences thus treated in an abstract descriptor sequence database (505) generated during prior execution of a second phase in method learning mode; 5. Recording the results (607) obtained in the identification stage (605).</p> |
