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    • 7. 发明授权
    • Identifying speech portions of a sound model using various statistics thereof
    • 使用其各种统计信息识别声音模型的语音部分
    • US09058820B1
    • 2015-06-16
    • US13899264
    • 2013-05-21
    • The Intellisis Corporation
    • Massimo MascaroDavid C. Bradley
    • G10L19/00G10L21/0272G10L15/187G10L15/26
    • G10L25/93G10L15/187G10L15/26G10L15/265G10L21/0208G10L21/12G10L21/14
    • Speech portions of a sound model may be identified using various statistics associated with the sound model for voice enhancement of noisy audio signals. A spectral motion transform may be performed on an input signal to obtain a linear fit in time of a sound model of the input signal. Statistics may be extracted from the linear fit of the sound model of the input signal. Speech portions of the linear fit of the sound model of the input signal may be identified by detecting a presence of harmonics as a function of time in the linear fit of the sound model of the input signal based on individual ones of the extracted statistics. An output signal may be provided that conveys audio comprising a reconstructed speech component of the input signal with a noise component of the input signal being suppressed.
    • 可以使用与用于噪声音频信号的语音增强的声音模型相关联的各种统计来识别声音模型的语音部分。 可以对输入信号执行频谱运动变换,以在输入信号的声音模型的时间内获得线性拟合。 可以从输入信号的声音模型的线性拟合中提取统计量。 输入信号的声音模型的线性拟合的语音部分可以通过基于所提取的统计中的各个来检测在输入信号的声音模型的线性拟合中作为时间的函数的谐波的存在来识别。 可以提供输出信号,该输出信号传送包括输入信号的重构语音分量的音频,其中输入信号的噪声分量被抑制。
    • 10. 发明申请
    • DETERMINING FEATURES OF HARMONIC SIGNALS
    • 确定谐波信号的特征
    • US20160232906A1
    • 2016-08-11
    • US14969029
    • 2015-12-15
    • The Intellisis Corporation
    • David C. BradleyYao Huang MorinMassimo MascaroJanis I. IntoySean O'ConnorEllisha MarongelliNick Hilton
    • G10L19/038G10L17/26G10L25/45G10L17/02
    • G10L25/90G10L15/02G10L17/02G10L21/02
    • Features that may be computed from a harmonic signal include a fractional chirp rate, a pitch, and amplitudes of the harmonics. A fractional chirp rate may be estimated, for example, by computing scores corresponding to different fractional chirp rates and selecting a highest score. A first pitch may be computed from a frequency representation that is computed using the estimated fractional chirp rate, for example, by using peak-to-peak distances in the frequency distribution. A second pitch may be computed using the first pitch, and a frequency representation of the signal, for example, by using correlations of portions of the frequency representation. Amplitudes of harmonics of the signal may be determined using the estimated fractional chirp rate and second pitch. Any of the estimated fractional chirp rate, second pitch, and harmonic amplitudes may be used for further processing, such as speech recognition, speaker verification, speaker identification, or signal reconstruction.
    • 可以从谐波信号计算的特征包括分数啁啾率,音调和谐波的振幅。 可以例如通过计算对应于不同分数啁啾率的分数并选择最高分数来估计分数啁啾率。 可以从使用估计的分数啁啾率计算的频率表示来计算第一音调,例如通过使用频率分布中的峰 - 峰距离。 可以使用第一音调和例如通过使用频率表示的部分的相关性来对信号进行频率表示来计算第二音高。 可以使用估计的分数啁啾率和第二音调来确定信号的谐波幅度。 任何估计的分数啁啾率,第二音调和谐波幅度都可用于进一步处理,例如语音识别,说话人验证,说话者识别或信号重构。