Evaluating Rhythm Metrics in Spontaneous Speech of English

• 발행기관: 현대문법학회
• 저자명: Tae Jin Yoon
• 간행물 정보: 『현대문법연구』제89호, 85~102쪽, 전체 18쪽
• 주제분류: 어문학 > 영어와문학
• 파일형태: PDF
• 발행일자: 2016.06.01

영문 초록

Statistical rhythmic metrics are applied on a Buckeye corpus of spontaneous interview speech in order to investigate the extent of inter-speaker rhythm variability. Tests are made on speech produced by speakers who share the same regional dialect in North America. The choice is made due to the unique characteristic of the Buckeye corpus in that the speech dataset is obtained from the speakers who have been raised in the same region and hence who share the same dialect with each other. Statistical measures of rhythm metrics are obtained from the subset of the corpus. The results of clustering analysis show that the rhythmic measures that capture the least dialectal variance is the normalized pair-wise variability indices calculated based on the respective adjacent consonantal and vocalic durations. The finding implies that these statistical measures of rhythm can be used in capturing the dialectal similarities on spontaneous speech.

목차

1. Introduction

2. Methods

3. Results

4. Discussions and Conclusion

References

키워드

Buckeye Corpus rhythm metrics Pairwise Variability indices spontaneous speech corpus model-based clustering inter- and intra-speaker variability