マルチタイムスケール音韻獲得モデルを用いた対乳児音声の特性解析

摘要

We propose the phoneme acquisition model that simulates human auditory system that perceives the temporal variations of the speech. Our model is designed to learn values of the acoustic characteristic of a continuous speech and to estimate the number and boundaries of the phoneme categories without using explicit instructions. A purpose of this study is to clarify the role of an Infant-Directed Speech (IDS), that has the high variability. We performed a learning experiment of an Adult Directed Speech (ADS) and IDS using our model and compared the results. As a result, in the accuracy rate of the voiceless stops, IDS is significantly higher than ADS. Accordingly, it is possible that IDS emphasized the acoustic features of unsteady phonemes, and to assist the acquisition.%我々は自然な連続音声からの音韻獲得モデルを提案する.提案法は人が音声の時間的な変化を知覚するメカニズムを模擬しており，教師なしで入力された言語の音韻の数と境界を推定することができる.本研究では，人の言語獲得研究において議論される，対乳児発話音声（Infant Directed Speech，IDS）の特徴である「変動性」の役割を明確にするため，提案モデルを使用して対成人音声（Adult Directed Speech，ADS）とIDSを入力とした学習を行い，結果を比較した.その結果，IDSはADSに比べて無声破裂子音の認識率が有意に高かった.そのため，DSは非定常な音素の音響特徴を強調し，その獲得を補助する可能性が示された.