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    • 3. 发明授权
    • Efficient pruning algorithm for hidden markov model speech recognition
    • 隐马尔可夫模型语音识别的有效修剪算法
    • US4977598A
    • 1990-12-11
    • US337608
    • 1989-04-13
    • George R. DoddingtonBasavaraj I. Pawate
    • George R. DoddingtonBasavaraj I. Pawate
    • G06F3/16G10L11/00G10L15/14
    • G10L15/14
    • An efficient pruning method reduces central processing unit (CPU) loading during real time speech recognition by instructing the CPU to compare a current state's previously calculated probability score against a predetermined threshold value and to discard hypothesis containing states with probability scores below such threshold. After determining that the current state should be kept, the CPU is directed to locate an available slot in the scoring buffer where information about the current state is then stored. The CPU locates an available slot by comparing the current time-index with the time-index associated with each scoring buffer slot. When they are equal, the slot is considered not available; when the current time-index is greater, the slot is considered available. After the information about the current state is stored, the CPU then sets the current state's backpointer to point at the start state of the current best path if the current states represents a completed model. Regardless of the current state's status, the CPU then associates the current time-index with the time-indices of all the slots along the best path to the current state. The CPU then proceeds to calculate the probability score of the next current state and the method repeats until all states have been completed.
    • 6. 发明授权
    • Apparatus and method for a memory unit with a processor integrated
therein
    • 一种具有集成在其中的处理器的存储器单元的装置和方法
    • US5678021A
    • 1997-10-14
    • US324291
    • 1994-10-17
    • Basavaraj I. PawateKenneth A. PoteetJoe H. Neal
    • Basavaraj I. PawateKenneth A. PoteetJoe H. Neal
    • G06F15/78G06F13/16G06F12/00
    • G06F15/7821
    • A smart memory (10) is provided that includes data storage (12 and 18) and a processing core (14 and 16) for executing instructions stored in the data storage area (12 and 18). Externally, smart memory (10) is directly accessible as a standard memory device. In a first mode of operation, the smart memory (10) is a data storage facility for an associated central processing unit (22). In a second mode of operation, the smart memory (10) is a storage facility for the processing core (14 and 16) and for central processing unit (22) for simultaneous execution of instructions. The central processing unit (22) controls the mode of operation and determines the instructions executed by the processing core (14 and 16). The wide data bus, available with an integrated processor/storage facility, permits certain processing operations to be off-loaded to the smart memory (10) where the processing operations can be performed more efficiently.
    • 提供了一种智能存储器(10),其包括用于执行存储在数据存储区域(12和18)中的指令的数据存储器(12和18)和处理核心(14和16)。 在外部,智能存储器(10)可以作为标准存储器件直接访问。 在第一操作模式中,智能存储器(10)是用于相关联的中央处理单元(22)的数据存储设备。 在第二操作模式中,智能存储器(10)是用于处理核心(14和16)和中央处理单元(22)的用于同时执行指令的存储设备。 中央处理单元(22)控制操作模式并确定由处理核心(14和16)执行的指令。 具有集成处理器/存储设施的宽数据总线允许某些处理操作被卸载到智能存储器(10),其中可以更有效地执行处理操作。
    • 10. 发明授权
    • Method and system for time scale modification utilizing feature vectors
about zero crossing points
    • 利用关于零交叉点的特征向量进行时间尺度修正的方法和系统
    • US5749064A
    • 1998-05-05
    • US609335
    • 1996-03-01
    • Basavaraj I. PawateSusan Yim
    • Basavaraj I. PawateSusan Yim
    • G10H1/36G10K15/04G10L21/04G10L3/02G10L9/12
    • G10H1/366G10L21/04G10H2250/035
    • A method and system for implementing time scale modification wherein the method includes a Zero Crossing Module (22) for determining zero crossing points in the signal, a Feature Vector Module (24) for generating feature vectors describing the zero crossing points, a Distance Metric Module (26) for generating distance metrics describing local characteristics at the zero crossing points, an Alignment Module (28) for using the feature vectors and distance metrics for aligning and synchronizing the signal in accordance with local similarities and similarity over a selected time interval to generate a time scale modified signal. The present invention also includes a Cross Fade Module (20) for smoothing transitions between successive frames of the resulting time scale modified signal.
    • 一种用于实现时间尺度修改的方法和系统,其中所述方法包括用于确定所述信号中的过零点的零交叉模块(22),用于生成描述过零点的特征向量的特征向量模块(24),距离度量模块 (26),用于产生描绘过零点处的局部特性的距离度量;对准模块(28),用于使用所述特征向量和距离度量来根据所选时间间隔上的局部相似性和相似性来对齐和同步所述信号,以产生 时间尺度修改信号。 本发明还包括用于平滑所产生的时标修改信号的连续帧之间的转换的交叉衰落模块(20)。