Dynamic Movement of American English Monophthongs in the hVd Syllable: Evidence from Pattern Recognition Modeling with Cepstral/Spectal Parameters

• 발행기관: 현대문법학회
• 저자명: Soonhyun Hong
• 간행물 정보: 『현대문법연구』제101호, 129~150쪽, 전체 22쪽
• 주제분류: 인문학 > 언어학
• 파일형태: PDF
• 발행일자: 2019.02.28

영문 초록

Traditionally the steady-state central section of the vowel length has been assumed to characterize the vowel quality. However, since Peterson and Barney (1952), this position has been challenged especially for American English monophthongal vowels. In this paper, introduced are low-ordered 12 mel-scale frequency cepstral coefficients (MFCC), which can characterize the shape of the oral cavity filter for monophthongal vowel production in the mel-scale domain. Four pattern recognition classification models are fitted to the measurements of spectral and cepstral parameters at multiple sections of the vowel duration along with F0, Gender and Duration for the AE vowel signals in the hVd syllable in Hillenbrand et al. (1995). It turns out that pattern recognition classifiers with the cepstral properties outperform those with spectral properties, reaching the perception level of American English listeners’.

목차

1. Introduction

2. Background

3. Mel-Scale Frequency Cepstral Coefficients Parameters for Vowel Classification Modeling

4. Method

5. Results and Discussion

키워드

MFCC formants pattern recognition modeling dynamic properties of English vowels