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    • 4. 发明公开
    • Speech synthesizing method and apparatus
    • 语音合成方法和装置
    • EP0984425A3
    • 2001-03-21
    • EP99306926.9
    • 1999-08-31
    • CANON KABUSHIKI KAISHA
    • Yamada, MasayukiKomori, YasuhiroOhtsuka, Mitsuru
    • G10L13/02
    • G10L13/07G10L25/21
    • An amplitude altering magnification (r) applied to sub-phoneme units of a voiced portion and an amplitude altering magnification s to be applied to sub-phoneme units of an unvoiced portion are determined based upon a target phoneme average power (p 0 ) of synthesized speech and power (p) of a selected phoneme unit. Sub-phoneme units are extracted from a phoneme to be synthesized. From among the extracted sub-phoneme units, a sub-phoneme unit of the voiced portion is multiplied by the amplitude altering magnification (r), and a sub-phoneme unit of the unvoiced portion is multiplied by the amplitude altering magnification (s). Synthesized speech is obtained using the sub-phoneme units thus obtained. This makes it possible to realize power control in which any decline in the quality of synthesized speech is reduced.
    • 基于合成语音的目标音素平均功率(p0)来确定施加到浊音部分的子音素单元的振幅改变放大倍数(r)和要应用于无声部分的子音素单元的振幅改变放大倍数 和所选音素单元的功率(p)。 子音素单位从音素中提取出来进行合成。 在所提取的子音素单元中,有声部分的子音素单元被乘以幅度改变放大率(r),并且无声部分的子音素单元被乘以幅度改变放大率(s)。 使用由此获得的子音素单元获得合成语音。 这使得可以实现功率控制,其中合成语音质量的任何下降都降低了。
    • 7. 发明公开
    • Method and apparatus for pattern recognition
    • Verfahren und Vorrichtung zur Mustererkennung
    • EP0742547A2
    • 1996-11-13
    • EP96303014.3
    • 1996-04-30
    • CANON KABUSHIKI KAISHA
    • Yamada, MasayukiKomori, Yasuhiro
    • G10L5/06
    • G06K9/6217G10L15/10G10L15/142
    • The method and apparatus performs pattern recognition on given information such as speech data or image data with a reduced amount of calculations of the degree of matching associated with reference patterns. The method and apparatus provides a high speed operation without an increase in the amount of calculations of the degree of matching even when there are a great number of reference patterns. In this invention, the process of calculating the degree of matching includes: a scalar quantization step in which the value of each dimension of an input feature vector is scalar-quantized; a table look-up step in which a table is subjected to a look-up operation on the basis of the quantized value obtained in the scalar quantization step so as to obtain an output value of a reference pattern function for each dimension; and a cumulative matching degree calculation step in which the output value of the reference pattern function obtained in the table loop-up step is accumulated for all dimensions, and the resultant cumulative value is finally employed as the degree of matching between the reference pattern and the input feature vector.
    • 该方法和装置对诸如语音数据或图像数据的给定信息进行模式识别,并减少与参考图案相关联的匹配程度的计算量。 即使存在大量参考图案,该方法和装置提供高速操作而不增加匹配度的计算量。 在本发明中,计算匹配程度的过程包括:标量量化步骤,其中对输入特征向量的每个维度的值进行标量化; 一个表查找步骤,其中基于在标量量化步骤中获得的量化值对表进行查找操作,以获得每个维度的参考图案函数的输出值; 以及累积匹配度计算步骤,其中在所有维度上累积在表循环步骤中获得的参考图形功能的输出值,并且最终将所得累积值用作参考图案和 输入特征向量。