Unsupervised learning of vowels from continuous speech based on self-organized phoneme acquisition model

Kouki Miyazawa, Hideaki Kikuchi, Reiko Mazuka

研究成果: Paper

4 引用 (Scopus)

抜粋

All normal humans can acquire their native phoneme systems simply by living in their native language environment. However, it is unclear as to how infants learn the acoustic expression of each phoneme of their native languages. In recent studies, researchers have inspected phoneme acquisition by using a computational model. However, these studies have used read speech that has a limited vocabulary as input and do not handle a continuous speech that is almost comparable to a natural environment. Therefore, in this study, we use natural continuous speech and build a self-organization model that simulates the cognitive ability of the humans, and we analyze the quality and quantity of the speech information that is necessary for the acquisition of the native vowel system. Our model is designed to learn values of the acoustic characteristic of a natural continuous speech and to estimate the number and boundaries of the vowel categories without using explicit instructions. In the simulation trial, we investigate the relationship between the quantity of learning and the accuracy for the vowels in a single Japanese speaker's natural speech. As a result, it is found that the vowel recognition accuracy of our model is comparable to that of an adult.

元の言語English
ページ2914-2917
ページ数4
出版物ステータスPublished - 2010 12 1
イベント11th Annual Conference of the International Speech Communication Association: Spoken Language Processing for All, INTERSPEECH 2010 - Makuhari, Chiba, Japan
継続期間: 2010 9 262010 9 30

Conference

Conference11th Annual Conference of the International Speech Communication Association: Spoken Language Processing for All, INTERSPEECH 2010
Japan
Makuhari, Chiba
期間10/9/2610/9/30

ASJC Scopus subject areas

  • Language and Linguistics
  • Speech and Hearing

フィンガープリント Unsupervised learning of vowels from continuous speech based on self-organized phoneme acquisition model' の研究トピックを掘り下げます。これらはともに一意のフィンガープリントを構成します。

  • これを引用

    Miyazawa, K., Kikuchi, H., & Mazuka, R. (2010). Unsupervised learning of vowels from continuous speech based on self-organized phoneme acquisition model. 2914-2917. 論文発表場所 11th Annual Conference of the International Speech Communication Association: Spoken Language Processing for All, INTERSPEECH 2010, Makuhari, Chiba, Japan.