| 摘要 |
PURPOSE:To improve the ability to discriminate a consonant with relatively simple constitution by calculating the coefficient of a decision making function from the LPC cepstrum of a trainee's vocalized sound, and comparing it with the coefficient of specific standard data and making a binary decision on the consonant. CONSTITUTION:The trainee's vocalized sound is converted by a microphone 2 into a speech signal, an LPF 3 extracts a reduced component among the frequency components of the speech signal, and an AD converter 4 digitizes the component. An arithmetic processing part DSP 5 analyzes the coefficient of the linear decision making function from the LPC cepstrum of the digitized speech signal. Then the contents of a ROM 6 stored with the coefficient of the linear decision making function calculated from the LPC cepstrum of the standard speech data is compared with the contents of the DSP 5 and a CPU 7 makes the binary decision on the consonant. After an image processing part 8 processes the comparison result, an image processing signal is displayed on a display 9. Then two consonants such as 'r' and 'l' or 'm' and 'n', three consonants such as 'b', 'd', and 'g' or 'p', 't', and 'k' or five vowels such as 'a', 'i', 'u', 'e', and 'o' can be recognized respectively by using the linear or nonlinear decision making function. |
