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Acoustic feature quantity conversion apparatus, acoustic model adaptation apparatus, acoustic feature quantity conversion method, and program

机译:声学特征量转换装置,声学模型自适应装置,声学特征量转换方法和程序

摘要

PROBLEM TO BE SOLVED: To improve a recognition rate even when learning data is not sufficiently available to obtain.SOLUTION: An acoustic feature value extraction unit 12 extracts an acoustic feature value series from a sound signal including an object sound phenomenon. A phoneme label addition unit 13 adds a phoneme label to the acoustic feature value series. An object label addition unit 14 adds an object label to the acoustic feature value series. A conversion model generation unit 15 learns a conversion model that converts an acoustic feature value of other than the object sound phenomenon into an acoustic feature value of the object sound phenomenon. A pseudo-acoustic feature value generation unit 16 generates a pseudo-acoustic feature value series in which the acoustic feature value of other than the object sound phenomenon out of the acoustic feature value series is converted into the acoustic feature value of the object sound phenomenon using the conversion model. An acoustic model learning unit 17 learns an acoustic model using the acoustic feature value series and the pseudo-acoustic feature value series.SELECTED DRAWING: Figure 1
机译:解决的问题:即使在学习数据不足以获取时也要提高识别率。解决方案:声学特征值提取单元12从包括目标声音现象的声音信号中提取声学特征值序列。音素标签添加单元13将音素标签添加到声学特征值序列。对象标签添加单元14将对象标签添加到声学特征值序列。转换模型生成单元15学习将除了目标声音现象以外的声学特征值转换为目标声音现象的声学特征值的转换模型。伪声学特征值生成单元16生成伪声学特征值序列,其中使用该声学特征值序列中的除了目标声音现象之外的其他声学特征值,将其转换为目标声音现象的声学特征值。转换模型。声学模型学习单元17使用声学特征值序列和伪声学特征值序列来学习声学模型。

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