古代文字语音识别

B. S. Manoj
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引用次数: 0

摘要

本研究证实了古代文字形象、语音、相关舌尖运动和舌头轮廓之间存在联系的经验假设。这种关系被用来识别未破译的文字的声音。作为第一步,从印地语、英语和泰米尔语中选择没有组合的声音。这样的声音有24种。这些声音用口腔内表面的点来表示。选择已被破译的埃及象形文字和线形B文字的文字形象,研究其对应的声音,精确定位24个声音在声腔中的位置。然后,还验证了图像、声音、舌尖运动和舌头轮廓之间的关系。利用这些信息,分析了印度河文字和甲骨文文字,并确定了它们的音值。这种方法可能有助于识别代表图像的古代文字的声音,以及理解缺乏书面文字的原始口头语言。
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Identification of Sounds of Ancient Scripts
This work confirms the empirical assumption that there is a relation between images of ancient script characters, their sounds, related tongue tip movements and tongue contours. This relation is used to identify sounds of undeciphered scripts. As a first step, sounds which are not in combinations are selected from Hindi, English and Tamil. There are 24 such sounds. These sounds are then represented by points on inner surface of the oral cavity. Images of characters of Egyptian hieroglyphs and Linear B scripts, which have already been deciphered, are selected and their corresponding sounds are studied to precisely position 24 sounds in the vocal cavity. Then, the relation between images, sounds, tongue tip movements and tongue contours is also verified. Using this information, Indus script and Oracle bone scripts are analyzed and their sound values are identified. This approach may be of help in identifying sounds of ancient scripts representing images and as well as understanding primitive spoken languages lacking written scripts.
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