Research Article
Research on Citation Tones and Disyllabic Tone Sandhi in Maoping Town Dialect Based on Deep Learning
@INPROCEEDINGS{10.4108/eai.2-6-2023.2334623, author={Zidan Wang}, title={Research on Citation Tones and Disyllabic Tone Sandhi in Maoping Town Dialect Based on Deep Learning}, proceedings={Proceedings of the 2nd International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2023, June 2--4, 2023, Nanchang, China}, publisher={EAI}, proceedings_a={ICIDC}, year={2023}, month={8}, keywords={praat; phonetic experiment; tone sandhi}, doi={10.4108/eai.2-6-2023.2334623} }- Zidan Wang
Year: 2023
Research on Citation Tones and Disyllabic Tone Sandhi in Maoping Town Dialect Based on Deep Learning
ICIDC
EAI
DOI: 10.4108/eai.2-6-2023.2334623
Abstract
The paper focus on the application of deep learning techniques in the domain of speech processing. Chinese is a tonal language. In a tonal language, pitch information is used to discriminate the meaning of different words. A word spoken with different tones corresponds to different meanings. Chinese has many dialects.Tone related information can play an important role in the Chinese speech recognition systems.Therefore, it’s necessary to make sue the tone pitches and the tone categories of a dialect in dialect speech processing database. The paper aims to use the Parrat to study citation tones and disyllabic tone sandhi in Maoping Town Dialect. Through experimental data,We proposed actual pitch value of five citation tones and disyllabic tone sandhi. There are seven patterns of disyllabic tone sandhi in Maoping Town Dialect.