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    • 1. 发明申请
    • SPEECH RECOGNITION APPARATUS BASED ON CEPSTRUM FEATURE VECTOR AND METHOD THEREOF
    • 基于CEPSTR特征向量的语音识别装置及其方法
    • US20130138437A1
    • 2013-05-30
    • US13558236
    • 2012-07-25
    • Hoon-Young ChoYoungik KimSanghun Kim
    • Hoon-Young ChoYoungik KimSanghun Kim
    • G10L15/20
    • G10L15/20
    • A speech recognition apparatus, includes a reliability estimating unit configured to estimate reliability of a time-frequency segment from an input voice signal; and a reliability reflecting unit configured to reflect the reliability of the time-frequency segment to a normalized cepstrum feature vector extracted from the input speech signal and a cepstrum average vector included for each state of an HMM in decoding. Further, the speech recognition apparatus includes a cepstrum transforming unit configured to transform the cepstrum feature vector and the average vector through a discrete cosine transformation matrix and calculate a transformed cepstrum vector. Furthermore, the speech recognition apparatus includes an output probability calculating unit configured to calculate an output probability value of time-frequency segments of the input speech signal by applying the transformed cepstrum vector to the cepstrum feature vector and the average vector.
    • 一种语音识别装置,包括:可靠性估计单元,被配置为从输入语音信号估计时间频率段的可靠性; 以及可靠性反射单元,其被配置为将所述时间频率段的可靠性反映到从所述输入语音信号提取的归一化反相特征向量和在解码中针对HMM的每个状态包括的倒谱平均向量。 此外,语音识别装置包括配置成通过离散余弦变换矩阵变换倒频谱特征矢量和平均矢量的倒频变换单元,并计算变换倒谱矢量。 此外,语音识别装置包括:输出概率计算单元,被配置为通过将变换倒谱矢量应用于倒谱特征向量和平均矢量来计算输入语音信号的时间段的输出概率值。