INVESTIGATION OF THE SPEAKER IDENTIFICATION METHOD BASED ON CLUSTERED PSEUDOSTATIONARY SEGMENTS OF VOICED SOUNDS
研究了利用浊音伪平稳段进行说话人识别的方法，通过比较平均距离和线性预测系数来识别说话人，旨在为速记实践提供快速准确的识别支持。
The problem of speaker identification is investigated. Basic segments ‐ pseudo stationary intervals of voiced sounds are used for identification. The identification is carried out, comparing average distances between an investigative and comparatives. The coefficients of the linear prediction model (LPC) of a vocal tract are used as features of identification. Such a problem arises in stenographic practice where it is important for speech identification to know who is speaking. Identification should be used in stenography and it has to be fast enough in order not to disturb the stenographer's job. The clustered parameter data will be investigated by providing the performance of the speaker identification method with respect to the computational time and the number of errors.