Abstract

Speech research should use relativized data in order to effectively eliminate differences caused by external factors such as gender and age, and the research results obtained will have universal significance. The T-value method is a method of relativization and normalization of pitch data proposed by Shi Feng. The core of the algorithm is to remove the specific unit of the fundamental frequency data to make it a dimensionless percentage ratio, which is convenient for statistical analysis. Pitch is the primary factor to determine the tone, and fundamental frequency is the physical quantity of pitch. Based on the T-value method, this study compiles a Matlab program to process the fundamental frequency data of more than 1500 samples extracted in the acoustic experiment at equal distances, and then calculates the five degree value to determine the tone value of Renbu dialect. In addition, the tone type and length of Renbu dialect are determined according to the mean value of fundamental frequency and duration. After statistical analysis, this study believes that there are 6 tone phonemes in Renbu dialect, with tone values of 53, 51, 44, 33, 231, and 224, which have a strong phoneme value in the Tibetan tone system and can assume independent semantic discrimination function under certain conditions.

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