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The Use of Syllable Segmentation Information in Continuous Speech Recognition Hybrid Systems Applied to the Portuguese Language

机译:在连续语音识别混合系统中使用音节分段信息应用于葡萄牙语

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Recent works have showed that the use of syllables as the basic unit in a speech recognition system could be very useful. These works introduced mehtods exploiting syllable information as a mean to add robustness in "traditional" systems that use phonemes/phones as the basic unit. Being the Portuguese a highly syllabic language we expected that information from syllables would introduce potential benefits in speech recognition tasks. Following these ideas we started by developing differnet mehtods of automatic syllable segmentation. Next we applied the best segmentation method to our large vocabulary continuous speech corpus (BD-PUBLICO) achieving an accuracy of 72
机译:最近的作品表明,使用音节作为语音识别系统中的基本单元可能非常有用。这些作品介绍了Mehtods利用音节信息,作为在使用音素/手机作为基本单元的“传统”系统中增加鲁棒性的含义。作为葡萄牙语一种高度音节语言,我们预期来自音节的信息会在语音识别任务中引入潜在的利益。遵循这些想法,我们通过开发自动音节分割的不同emhtod。接下来,我们将最佳分割方法应用于我们的大词汇连续语音语料库(BD-Publico)实现了72的准确性

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