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    • 2. 发明授权
    • Reconfigurable neural network and difference-square neuron
    • 可重构神经网络和差分平方神经元
    • US5751913A
    • 1998-05-12
    • US688055
    • 1996-07-29
    • Tzi-Dar ChiuehHwai-Tsu ChangFang-Ru HsuWan-Yu Meng
    • Tzi-Dar ChiuehHwai-Tsu ChangFang-Ru HsuWan-Yu Meng
    • G06N3/063G06N3/08G06F15/18
    • G06N3/082G06N3/063
    • A reconfigurable neural network includes several switches each having at least two conductive leads, data flow direction of the conductive leads is programmed to select one of the conductive leads as input switch lead and select another one of the conductive leads as an output switch lead. Several processing elements each having leads connected to the switches, where the processing elements and the switches are interconnected in one-dimension manner. The neural network of interconnected switches and processing elements has a bit-serial input and a bit-serial output. Each of the processing elements comprising: (a) a serial-in-parallel-out difference-square accumulator having a first input coupled to one of the interconnected switches and generating a first output; (b) an activation function for transforming the first output of the serial-in-parallel-out difference-square accumulator and generating a second output; and (c) a parallel-in-serial-out shift register for shifting out the second output of the activation function serially to one of the interconnected switches.
    • 可重新配置的神经网络包括几个开关,每个开关具有至少两个导电引线,导电引线的数据流动方向被编程为选择一个导电引线作为输入开关引线,并选择另一个导电引线作为输出开关引线。 几个处理元件各自具有连接到开关的引线,其中处理元件和开关以一维方式互连。 互连开关和处理元件的神经网络具有位串行输入和位串行输出。 每个处理元件包括:(a)串并行输出差分平方累加器,其具有耦合到互连开关之一并产生第一输出的第一输入; (b)激活功能,用于变换串并行输出差分平方累加器的第一输出并产生第二输出; 和(c)串并联移位寄存器,用于将激活功能的第二输出串联移动到互连开关之一。
    • 3. 发明授权
    • Frame-based subband Kalman filtering method and apparatus for speech enhancement
    • 基于帧的子带卡尔曼滤波方法和语音增强装置
    • US06408269B1
    • 2002-06-18
    • US09261396
    • 1999-03-03
    • Wen-Rong WuPo-Cheng ChenHwai-Tsu ChangChun-Hung Kuo
    • Wen-Rong WuPo-Cheng ChenHwai-Tsu ChangChun-Hung Kuo
    • G10L2102
    • G10L21/0208G10L21/0232G10L25/18
    • A method and apparatus for enhancing a speech signal contaminated by additive noise through Kalman filtering. The speech is decomposed into subband speech signals by a multichannel analysis filter bank including bandpass filters and decimation filters. Each subband speech signal is converted into a sequence of voice frames. A plurality of low-order Kalman filters are respectively applied to filter each of the subband speech signals. The autoregression (AR) parameters which are required for each Kalman filter are estimated frame-by-frame by using a correlation subtraction method to estimate the autocorrelation function and solving the corresponding Yule-Walker equations for each of the subband speech signals, respectively. The filtered subband speech signals are then combined or synthesized by a multichannel synthesis filter bank including interpolation filters and bandpass filters, and the outputs of the multichannel synthesis filter bank are summed in an adder to produce the enhanced fullband speech signal.
    • 一种用于通过卡尔曼滤波增强被加性噪声污染的语音信号的方法和装置。 通过包括带通滤波器和抽取滤波器的多通道分析滤波器组将语音分解成子带语音信号。 每个子带语音信号被转换成一系列语音帧。 分别应用多个低阶卡尔曼滤波器来滤波每个子带语音信号。 通过使用相关减法来估计每个卡尔曼滤波器所需的自回归(AR)参数,以分别估计每个子带语音信号的自相关函数和求解相应的Yule-Walker方程。 滤波后的子带语音信号然后由包括内插滤波器和带通滤波器的多通道合成滤波器组合或合成,并且多路合成滤波器组的输出在加法器中相加以产生增强的全频带语音信号。
    • 4. 发明授权
    • Method of amplitude coding for low bit rate sinusoidal transform vocoder
    • 低比特率正弦变换声码器的幅度编码方法
    • US6052658A
    • 2000-04-18
    • US94448
    • 1998-06-10
    • De-Yu WangWen-Whei ChangHwai-Tsu ChangHuang-Lin Yang
    • De-Yu WangWen-Whei ChangHwai-Tsu ChangHuang-Lin Yang
    • G10L19/02
    • G10L19/02
    • The present invention provides a sinusoidal transform vocoder based on the Bark spectrum, which has high quality and low bit rate for coding. The present invention includes the steps of transforming a harmonic sine wave from a frequency spectrum to a perception-based Bark spectrum. An equal-loudness pre-emphasis and the loudness to a subjective loudness transformation are also involved in the method. Last, a pulse code modulation (PCM) is used to quantize the subjective loudness to obtain quantized subjective loudness. In synthesis, the Bark spectrum is inversely processed to obtain the excitation pattern following the sone-to-phone conversion and equal-loudness deemphasis. Then, the sine wave amplitudes can be estimated from the excitation pattern by assuming that the amplitudes belonging to the same critical band are equal.
    • 本发明提供一种基于Bark频谱的正弦变换声码器,其具有高质量和低码率的编码。 本发明包括将谐波正弦波从频谱变换为基于感知的树皮光谱的步骤。 该方法中也涉及到等响度预加重和主观响度变换的响度。 最后,使用脉冲编码调制(PCM)来量化主观响度以获得量化的主观响度。 在合成中,Bark频谱被反向处理,以获得在单声道到电话转换和等响度去加重之后的激励模式。 然后,可以通过假设属于相同临界频带的振幅相等,从激励模式估计正弦波幅度。
    • 5. 发明授权
    • Reconfigurable neural network
    • 可重构神经网络
    • US5742741A
    • 1998-04-21
    • US683254
    • 1996-07-18
    • Tzi-Dar ChiuehHwai-Tsu ChangYeh-Rong HsuHuang-Lin YangChung-Chih Chang
    • Tzi-Dar ChiuehHwai-Tsu ChangYeh-Rong HsuHuang-Lin YangChung-Chih Chang
    • G06N3/063G06N3/08G06F15/18
    • G06N3/082G06N3/063
    • A reconfigurable neural network is disclosed. The neural network includes a plurality of switches each having at least two conductive leads, wherein data flow direction of the conductive leads of the switches is programmed to select one of the conductive leads as input switch lead and select another one of the conductive leads as an output switch lead. A plurality of processing elements each having a plurality of leads connected to the switches, wherein the processing elements and the switches are interconnected in one-dimension manner. Each of the processing elements comprising: (a) a serial-in-parallel-out accumulator having a first input coupled to one of the interconnected switches and generating a first output; (b) an activation function for transforming the first output of the serial-in-parallel-out accumulator and generating a second output; and (c) a parallel-in-serial-out shift register for shifting out the second output of the activation function serially to one of the interconnected switches.
    • 公开了一种可重构神经网络。 神经网络包括多个开关,每个开关具有至少两个导电引线,其中开关的导电引线的数据流动方向被编程为选择一个导电引线作为输入开关引线,并选择另一个导电引线作为 输出开关引线。 多个处理元件各自具有连接到开关的多个引线,其中处理元件和开关以一维方式互连。 每个处理元件包括:(a)串并行输出累加器,其具有耦合到互连开关中的一个并产生第一输出的第一输入; (b)激活功能,用于变换串并行输出累加器的第一输出并产生第二输出; 和(c)串并联移位寄存器,用于将激活功能的第二输出串联移动到互连开关之一。