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    • 2. 发明授权
    • Acrylic pressure sensitive adhesive and pressure sensitive adhesive tape
    • 压克力压敏胶和压敏胶带
    • US07258919B2
    • 2007-08-21
    • US10509733
    • 2003-04-04
    • Tetsuji KamineTomoki TodaMikihiko HoriokaKazuhisa UchiyamaMasahiro ItoYasushi Okamoto
    • Tetsuji KamineTomoki TodaMikihiko HoriokaKazuhisa UchiyamaMasahiro ItoYasushi Okamoto
    • B32B17/06
    • C09J133/066C09J7/38Y10T428/14Y10T428/28Y10T428/2826Y10T428/2848Y10T428/2891
    • The purpose of the present invention is to provide an acrylic pressure sensitive adhesive and a pressure sensitive adhesive tape preferable to be used for adhesion and fixation of members to be used in closed space of such as a vehicle, a housing where odors become a problem; or in the side of electronic appliances where volatile gases become a problem and also relates to a vehicular air conditioner unit produced by using them.The present invention relates to an acrylic pressure sensitive adhesive, which has 500 ppm or lower of volatile component concentration A calculated by the following equation (1), when the acrylic pressure sensitive adhesive is heated at 90° C. for 30 minutes: volatile component concentration A (ppm)=volatile component content X (μg)/pressure sensitive adhesive weight Z (g) before heating   (1) in the equation (1), the volatile component content X is an amount measured by conversion into toluene.
    • 本发明的目的是提供一种丙烯酸压敏粘合剂和优选用于粘合和固定用于诸如车辆的封闭空间中的构件的丙烯酸压敏粘合剂和气味,气味成为问题的壳体; 或在挥发性气体成为问题的电子设备的一侧,还涉及通过使用它们制造的车辆空调机。 本发明涉及丙烯酸类压敏粘合剂,当丙烯酸类压敏粘合剂在90℃下加热30分钟时,其具有通过以下等式(1)计算的挥发性组分浓度A的500ppm或更低: in-line-formula description =“In-line Formulas”end =“lead”?>挥发性成分浓度A(ppm)=挥发性成分含量X(mug)/压敏粘合剂重量Z(g)加热前(1) 式(1)中的“in-line-formula description =”In-line Formulas“end =”tail“?>,挥发性成分含量X是通过转化成甲苯而测量的量。
    • 3. 发明授权
    • Apparatus and method for producing an audible speech signal from a non-audible speech signal
    • 用于从非听觉语音信号产生可听语音信号的设备和方法
    • US08155966B2
    • 2012-04-10
    • US12375491
    • 2007-02-07
    • Tomoki TodaMikihiro NakagiriHideki KashiokaKiyohiro Shikano
    • Tomoki TodaMikihiro NakagiriHideki KashiokaKiyohiro Shikano
    • G10L13/02G10L13/00
    • H04R1/14G10L21/0364G10L2021/0575H04R3/005H04R2499/11
    • [Problems]To convert a signal of non-audible murmur obtained through an in-vivo conduction microphone into a signal of a speech that is recognizable for (hardly misrecognized by) a receiving person with maximum accuracy.[Means for Solving Problems]A speech processing method comprising: a learning step (S7) for conducting a learning calculation of a model parameter of a vocal tract feature value conversion model indicating conversion characteristic of acoustic feature value of vocal tract, on the basis of a learning input signal of non-audible murmur recorded by an in-vivo conduction microphone and a learning output signal of audible whisper corresponding to the learning input signal recorded by a prescribed microphone, and then, storing a learned model parameter in a prescribed storing means; and a speech conversion step (S9) for converting a non-audible speech signal obtained through an in-vivo conduction microphone into a signal of audible whisper, based on a vocal tract feature value conversion model, with a learned model parameter obtained through the learning step set thereto.
    • [问题]将通过体内传导麦克风获得的不可听到的杂音的信号转换为以最高精度识别(难以被错误识别)接收者的语音信号。 解决问题的手段一种语音处理方法,包括:学习步骤(S7),用于基于指示声带的声学特征值的转换特性来进行声道特征值转换模型的模型参数的学习计算 由体内传导麦克风记录的非听觉杂音的学习输入信号和与规定的麦克风记录的学习输入信号相对应的可听耳语的学习输出信号,然后将学习的模型参数存储在规定的存储装置 ; 以及语音转换步骤(S9),用于基于声道特征值转换模型将通过体内传导麦克风获得的非可听语音信号转换为可听到的耳语的信号,通过学习获得的学习模型参数 步骤。
    • 4. 发明申请
    • SPEECH PROCESSING METHOD, SPEECH PROCESSING PROGRAM, AND SPEECH PROCESSING DEVICE
    • 语音处理方法,语音处理程序和语音处理装置
    • US20090326952A1
    • 2009-12-31
    • US12375491
    • 2007-02-07
    • Tomoki TodaMikihiro NakagiriHideki KashiokaKiyohiro Shikano
    • Tomoki TodaMikihiro NakagiriHideki KashiokaKiyohiro Shikano
    • G10L21/00H04R1/14H04R1/00G10L15/06
    • H04R1/14G10L21/0364G10L2021/0575H04R3/005H04R2499/11
    • [Problems] To convert a signal of non-audible murmur obtained through an in-vivo conduction microphone into a signal of a speech that is recognizable for (hardly misrecognized by) a receiving person with maximum accuracy.[Means for Solving Problems] A speech processing method comprising: a learning step (S7) for conducting a learning calculation of a model parameter of a vocal tract feature value conversion model indicating conversion characteristic of acoustic feature value of vocal tract, on the basis of a learning input signal of non-audible murmur recorded by an in-vivo conduction microphone and a learning output signal of audible whisper corresponding to the learning input signal recorded by a prescribed microphone, and then, storing a learned model parameter in a prescribed storing means; and a speech conversion step (S9) for converting a non-audible speech signal obtained through an in-vivo conduction microphone into a signal of audible whisper, based on a vocal tract feature value conversion model, with a learned model parameter obtained through the learning step set thereto.
    • [问题]将通过体内传导麦克风获得的不可听到的杂音的信号转换为以最高精度识别(难以被错误识别)接收者的语音信号。 解决问题的手段一种语音处理方法,包括:学习步骤(S7),用于基于指示声带的声学特征值的转换特性来进行声道特征值转换模型的模型参数的学习计算 由体内传导麦克风记录的非听觉杂音的学习输入信号和与规定的麦克风记录的学习输入信号相对应的可听耳语的学习输出信号,然后将学习的模型参数存储在规定的存储装置 ; 以及语音转换步骤(S9),用于基于声道特征值转换模型将通过体内传导麦克风获得的非可听语音信号转换为可听到的耳语的信号,通过学习获得的学习模型参数 步骤。