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Reduced sets of subword units for continuous speech recognition of Portuguese

机译:减少子词单位的设置,以实现葡萄牙语的连续语音识别

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摘要

An investigation is presented concerning two sets of subword units for continuous speech recognition, which are based on the characteristics of the Portuguese language. In the first set, with 149 units, it is considered that syllables which contain an epenthetic vowel can be formed by two CV (consonant-vowel) units. In the second set, with 254 units, these syllables are regarded as CCV (consonant-consonant-vowel) units. The recognition performance obtained with the two unit sets are comparable if a bigram model is used at the unit level. In this case, the first set is definitely preferable because it enables the complexity to be significantly reduced.
机译:基于葡萄牙语的特征,针对两组用于连续语音识别的子词单元进行了调查。在第一组中,有149个单元,可以认为包含一个元音元音的音节可以由两个CV(辅音元音)单元形成。在第二组中,有254个单元,这些音节被视为CCV(辅音-辅音元音)单元。如果在单位级别使用双字母组模型,则使用两个单位集获得的识别性能是可比的。在这种情况下,第一组绝对是优选的,因为它可以显着降低复杂性。

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