Self-checking memory cell array apparatus
    1.
    发明授权
    Self-checking memory cell array apparatus 失效
    自我检查记忆体阵列装置

    公开(公告)号:US5128947A

    公开(公告)日:1992-07-07

    申请号:US373963

    申请日:1989-06-30

    Inventor: Gerald Corrigan

    Abstract: A totally self-checking memory cell array apparatus (30) has an array (31) of memory cells (32) selectively addressed by row and column decoders (33, 35) which receive unidirectional error detecting code signals as address inputs (34, 36). Data, as a multiple bit data word (A, B, C.sub.1, C.sub.2), is stored in the array (31) in unidirectional error detecting code form. Cells in each row (1-8) of the array have two separate row select connection lines (45 and 45a) for coupling the cell to data and data complement (46, 46*) connections. Error detection circuits (44, 47) are provided which determine errors by comparing the data and data complement lines for each data bit read out of the array and for detecting when multiple bit data words read out of the array are not coded in a unidirectional error detecting code format. The above apparatus provides error indications in case of any unidirectional errors in the row or column input address signals or the row or column decoders, or any unidirectional error corruption of the data stored in the memory cell array. This is achieved without completely duplicating each memory cell in the array and all row and column decoder circuitry.

    Speech synthesis
    2.
    发明申请
    Speech synthesis 审中-公开
    语音综合

    公开(公告)号:US20050060156A1

    公开(公告)日:2005-03-17

    申请号:US10914583

    申请日:2004-08-09

    Abstract: In a speech synthesis technique used in a network (110, 115), a set of text words is accepted by a speech engine software function (210) in a client device (105). From the set of text words, an invalid subset of text words is determined for which the text words are not in a word synthesis dictionary of the client device. The invalid subset of text words is transmitted over the network to a server device (120), which generates a set of word pronunciations including at least a portion of the text words of the invalid subset of text words and pronunciations associated with each of the text words. The client device uses the pronunciations for speech synthesis and may store them in a local word synthesis dictionary (220) stored in a memory (150) of the client device.

    Abstract translation: 在网络(110,115)中使用的语音合成技术中,一组文本字被客户端设备(105)中的语音引擎软件功能(210)接受。 从文本文本集合中,确定文本字的无效子集,其文本字不在客户端设备的单词合成字典中。 文本字的无效子集通过网络发送到服务器设备(120),该服务器设备生成一组单词发音,其包括文本单词的无效子集的至少一部分文本单词和与每个文本相关联的发音 话。 客户端设备使用用于语音合成的发音,并且可以将它们存储在存储在客户端设备的存储器(150)中的本地单词合成词典(220)中。

    Method, device and system for generating segment durations in a
text-to-speech system
    3.
    发明授权
    Method, device and system for generating segment durations in a text-to-speech system 失效
    用于在文本到语音系统中生成段持续时间的方法,设备和系统

    公开(公告)号:US5950162A

    公开(公告)日:1999-09-07

    申请号:US739975

    申请日:1996-10-30

    CPC classification number: G10L13/08

    Abstract: The present invention teaches a method (400), device and system (300) utilizing at least one of: mapping a sequence of phones to a sequence of articulatory features and utilizing prominence and boundary information, in addition to a predetermined set of rules for type, phonetic context, syntactic and prosodic context for phones to provide provide a system that generates segment durations efficiently with a small training set.

    Abstract translation: 本发明教导了一种方法(400),装置和系统(300),其利用以下至少一个方法:将一系列电话映射到一系列发音特征并利用突出和边界信息,以及用于类型的预定规则集 ,语音语境,手机的句法和韵律上下文提供了一个系统,可以用一个小的训练集来有效地生成片段持续时间。

    Method, device and system for using statistical information to reduce
computation and memory requirements of a neural network based speech
synthesis system
    4.
    发明授权
    Method, device and system for using statistical information to reduce computation and memory requirements of a neural network based speech synthesis system 失效
    使用统计信息来减少基于神经网络的语音合成系统的计算和存储器要求的方法,装置和系统

    公开(公告)号:US5913194A

    公开(公告)日:1999-06-15

    申请号:US892295

    申请日:1997-07-14

    CPC classification number: G10L13/02 G10L25/30

    Abstract: A method (400), device and system (300) provide, in response to linguistic information, efficient generation of a parametric representation of speech using a neural network. The method provides, in response to linguistic information efficient generation of a refined parametric representation of speech, comprising the steps of: A) using a data selection module to retrieve representative parameter vectors for each segment description according to the phonetic segment type and the phonetic segment types included in adjacent segment descriptions; B) interpolating between the representative parameter vectors according to the segment descriptions and duration to provide interpolated statistical parameters; C) converting the interpolated statistical parameters and linguistic information to neural network input parameters; D) utilizing a statistically enhanced neural network/neural network with post-processor to provide neural network output parameters that correspond to a parametric representation of speech; and converting the neural network output parameters to a refined parametric representation of speech.

    Abstract translation: 方法(400),设备和系统(300)响应于语言信息提供使用神经网络有效地生成语音的参数表示。 该方法响应于语言信息有效地产生语音的精细参数表示,包括以下步骤:A)使用数据选择模块根据语音段类型和语音段来检索每个段描述的代表参数向量 相邻细分描述中包含的类型; B)根据段描述和持续时间在代表参数向量之间插值以提供内插的统计参数; C)将内插的统计参数和语言信息转换为神经网络输入参数; D)利用具有后处理器的统计增强神经网络/神经网络来提供对应于语音参数表示的神经网络输出参数; 并将神经网络输出参数转换为语音的精细参数表示。

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