英文摘要 |
Over the past decade, computational linguists have been striving to design a speech recognition system that is able to identify standard speeches and to accommodate sound variables caused by different individual accents. Furthermore, some speech recognition programs have been able to learn and identify distinctive sound frequencies due to the user's age and gender. Nevertheless, regular sound alterations that occur in different varieties of a language have never been seriously considered in the design of the speech recognition system. Accordingly, this study proposes to incorporate the socio-phonological information about regular sound modifications to enhance the performance of Automatic Speech Recognition. To illustrate this point, this study investigates and analyzes the acoustic variation of the syllable-final nasal shift from the velar to the dental, which has been discovered to be one of the distinctive sound features that makes the variety of Mandarin spoken in Taiwan differ from that spoken in China. Following the phonetic analysis, this study discusses the effect of the nasal merger on the development of phonology-dependent speech technologies. It concludes by proposing a preliminary resolution to the identification of syllable-final nasals for the design of Automatic Speech Recognition. |