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    • 1. 发明授权
    • Robot
    • 机器人
    • US07999168B2
    • 2011-08-16
    • US12503448
    • 2009-07-15
    • Kazuhiro NakadaiYuji HasegawaHiroshi TsujinoKazumasa MurataRyu TakedaHiroshi Okuno
    • Kazuhiro NakadaiYuji HasegawaHiroshi TsujinoKazumasa MurataRyu TakedaHiroshi Okuno
    • G10H1/00
    • G10H1/36A63H3/28G10H1/40G10H2240/135G10H2250/371G10H2250/455
    • A robot includes: a sound collecting unit collecting and converting a musical sound into a musical acoustic signal; a voice signal generating unit generating a self-vocalized voice signal; a sound outputting unit converting the self-vocalized voice signal into a sound and outputting the sound; a self-vocalized voice regulating unit receiving the musical acoustic signal and the self-vocalized voice signal; a filtering unit performing a filtering process; a beat interval reliability calculating unit performing a time-frequency pattern matching process and calculating a beat interval reliability; a beat interval estimating unit estimating a beat interval; a beat time reliability calculating unit calculating a beat time reliability; a beat time estimating unit estimating a beat time on the basis of the calculated beat time reliability; a beat time predicting unit predicting a beat time before the current time; and a synchronization unit synchronizing the self-vocalized voice signal.
    • 机器人包括:收集单元,收集并将音乐声音转换成音乐声信号; 产生自发声音信号的语音信号产生单元; 声音输出单元,将自发声音信号转换成声音并输出声音; 接收音乐声音信号和自发声音信号的自发声音调节单元; 执行滤波处理的滤波单元; 节拍间隔可靠性计算单元,执行时间频率模式匹配处理并计算节拍间隔可靠性; 估计拍子间隔的拍子间隔估计单元; 节拍时间可靠性计算单元,计算节拍时间可靠性; 拍子时间估计单元,基于所计算的拍子时间可靠性来估计拍子时间; 拍子时间预测单元预测当前时间之前的拍子时间; 以及使自发声音信号同步的同步单元。
    • 3. 发明申请
    • ROBOT
    • 机器人
    • US20100011939A1
    • 2010-01-21
    • US12503448
    • 2009-07-15
    • Kazuhiro NAKADAIYuji HasegawaHiroshi TsujinoKazumasa MurataRyu TakedaHiroshi Okuno
    • Kazuhiro NAKADAIYuji HasegawaHiroshi TsujinoKazumasa MurataRyu TakedaHiroshi Okuno
    • G10H1/40
    • G10H1/36A63H3/28G10H1/40G10H2240/135G10H2250/371G10H2250/455
    • A robot includes: a sound collecting unit collecting and converting a musical sound into a musical acoustic signal; a voice signal generating unit generating a self-vocalized voice signal; a sound outputting unit converting the self-vocalized voice signal into a sound and outputting the sound; a self-vocalized voice regulating unit receiving the musical acoustic signal and the self-vocalized voice signal; a filtering unit performing a filtering process; a beat interval reliability calculating unit performing a time-frequency pattern matching process and calculating a beat interval reliability; a beat interval estimating unit estimating a beat interval; a beat time reliability calculating unit calculating a beat time reliability; a beat time estimating unit estimating a beat time on the basis of the calculated beat time reliability; a beat time predicting unit predicting a beat time before the current time; and a synchronization unit synchronizing the self-vocalized voice signal.
    • 机器人包括:收集单元,收集并将音乐声音转换成音乐声信号; 产生自发声音信号的语音信号产生单元; 声音输出单元,将自发声音信号转换成声音并输出声音; 接收音乐声音信号和自发声音信号的自发声音调节单元; 执行滤波处理的滤波单元; 节拍间隔可靠性计算单元,执行时间频率模式匹配处理并计算节拍间隔可靠性; 估计拍子间隔的拍子间隔估计单元; 节拍时间可靠性计算单元,计算节拍时间可靠性; 拍子时间估计单元,基于所计算的拍子时间可靠性来估计拍子时间; 拍子时间预测单元预测当前时间之前的拍子时间; 以及使自发声音信号同步的同步单元。
    • 4. 发明申请
    • SOUND-SOURCE SEPARATION SYSTEM
    • 声源分离系统
    • US20090043588A1
    • 2009-02-12
    • US12187684
    • 2008-08-07
    • Ryu TakedaKazuhiro NakadaiHiroshi TsujinoHiroshi Okuno
    • Ryu TakedaKazuhiro NakadaiHiroshi TsujinoHiroshi Okuno
    • G10L21/00
    • G10L21/0272
    • A system capable of reducing the influence of sound reverberation or reflection to improve sound-source separation accuracy. An original signal X(ω,f) is separated from an observed signal Y(ω,f) according to a first model and a second model to extract an unknown signal E(ω,f). According to the first model, the original signal X(ω,f) of the current frame f is represented as a combined signal of known signals S(ω,f−m+1) (m=1 to M) that span a certain number M of current and previous frames. This enables extraction of the unknown signal E(ω,f) without changing the window length while reducing the influence of reverberation or reflection of the known signal S(ω,f) on the observed signal Y(ω,f).
    • 一种能够减少声音混响或反射影响以提高声源分离精度的系统。 根据第一模型和第二模型将原始信号X(ω,f)与观察信号Y(ω,f)分离以提取未知信号E(ω,f)。 根据第一模型,当前帧f的原始信号X(ω,f)被表示为已知信号S(ω,f-m + 1)(m = 1到M)的组合信号, 当前帧和前一帧的M个。 这可以在不改变窗口长度的情况下提取未知信号E(ω,f),同时减少已知信号S(ω,f)的混响或反射对观测信号Y(ω,f)的影响。
    • 5. 发明授权
    • Sound-source separation system
    • 声源分离系统
    • US07987090B2
    • 2011-07-26
    • US12187684
    • 2008-08-07
    • Ryu TakedaKazuhiro NakadaiHiroshi TsujinoHiroshi Okuno
    • Ryu TakedaKazuhiro NakadaiHiroshi TsujinoHiroshi Okuno
    • G10L19/14
    • G10L21/0272
    • A system capable of reducing the influence of sound reverberation or reflection to improve sound-source separation accuracy. An original signal X(ω,f) is separated from an observed signal Y(ω,f) according to a first model and a second model to extract an unknown signal E(ω,f). According to the first model, the original signal X(ω,f) of the current frame f is represented as a combined signal of known signals S(ω,f−m+1) (m=1 to M) that span a certain number M of current and previous frames. This enables extraction of the unknown signal E(ω,f) without changing the window length while reducing the influence of reverberation or reflection of the known signal S(ω,f) on the observed signal Y(ω,f).
    • 一种能够减少声音混响或反射影响以提高声源分离精度的系统。 根据第一模型和第二模型将原始信号X(ω,f)与观测信号Y(ω,f)分离,以提取未知信号E(ω,f)。 根据第一模型,当前帧f的原始信号X(ω,f)被表示为已知信号S(ω,f-m + 1)(m = 1至M)的组合信号,该信号跨越一定 当前帧和前一帧的M个。 这可以在不改变窗口长度的情况下提取未知信号E(ω,f),同时减少已知信号S(ω,f)的混响或反射对观测信号Y(ω,f)的影响。
    • 8. 发明申请
    • Automatic Speech Recognition System
    • 自动语音识别系统
    • US20090018828A1
    • 2009-01-15
    • US10579235
    • 2004-11-12
    • Kazuhiro NakadaiHiroshi TsujinoHiroshi Okuno
    • Kazuhiro NakadaiHiroshi TsujinoHiroshi Okuno
    • G10L19/14
    • G10L15/20G10L21/028G10L2021/02166
    • An automatic speech recognition system includes: a sound source localization module for localizing a sound direction of a speaker based on the acoustic signals detected by the plurality of microphones; a sound source separation module for separating a speech signal of the speaker from the acoustic signals according to the sound direction; an acoustic model memory which stores direction-dependent acoustic models that are adjusted to a plurality of directions at intervals; an acoustic model composition module which composes an acoustic model adjusted to the sound direction, which is localized by the sound source localization module, based on the direction-dependent acoustic models, the acoustic model composition module storing the acoustic model in the acoustic model memory; and a speech recognition module which recognizes the features extracted by a feature extractor as character information using the acoustic model composed by the acoustic model composition module.
    • 一种自动语音识别系统,包括:声源定位模块,用于基于由所述多个麦克风检测到的声信号来定位扬声器的声音方向; 声源分离模块,用于根据声音方向将扬声器的语音信号与声学信号分离; 声学模型存储器,其存储以间隔被调整到多个方向的方向相关的声学模型; 声学模型合成模块,其基于所述方向相关的声学模型,将声学模型组合模块存储在所述声学模型存储器中;声学模型组合模块,其将声学模型组合模块存储在所述声学模型存储器中; 以及语音识别模块,其使用由声学模型组合模块组成的声学模型识别由特征提取器提取的特征作为字符信息。