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    • 1. 发明授权
    • Method and apparatus for generating speech pattern templates
    • 用于生成语音模式模板的方法和装置
    • US4454586A
    • 1984-06-12
    • US322748
    • 1981-11-19
    • Frank C. PirzLawrence R. RabinerJay G. Wilpon
    • Frank C. PirzLawrence R. RabinerJay G. Wilpon
    • G10L11/00G10L15/02G10L15/12G10L1/00
    • G10L15/12
    • A system for generating speech pattern templates for use with either speech recognition or speech synthesis. Reference demisyllable templates are first generated from a reference first speaker using both manual and automatic analysis. The analysis for a second speaker is simplified and automated by comparing with the first speaker's templates. The second speaker speaks the same words at a rate time-warped to match the first speakers rate and template. We define a demisyllable as each of the two halves of a syllable, assuming a syllable starts and ends with a noisy consonant, and the syllable is split at its vowel center, thereby simplifying concatenation and comparison. Key features of the invention include generating a set of signals representative of the time alignment between the first and second speaker's templates, and the time-of-occurence boundaries of each syllable in a word.
    • 一种用于产生用于语音识别或语音合成的语音模式模板的系统。 首先使用手动和自动分析从参考的第一个扬声器生成参考分解模板。 通过与第一个演讲人的模板进行比较,简化和自动化第二个演讲者的分析。 第二个发言人以相同的时间说出一致的话,以匹配第一个演讲者的速度和模板。 我们将一个分音节定义为音节的两个半部分,假设音节开始和结尾是一个嘈杂的辅音,并且音节在其元音中心分裂,从而简化了连接和比较。 本发明的主要特征包括产生一组代表第一和第二说话者模板之间的时间对准的信号以及一个单词中每个音节的发生时间边界。
    • 2. 发明授权
    • Syntactic continuous speech recognizer
    • 句法连续语音识别器
    • US4277644A
    • 1981-07-07
    • US57749
    • 1979-07-16
    • Stephen E. LevinsonFrank C. Pirz
    • Stephen E. LevinsonFrank C. Pirz
    • G10L11/00G10L15/00G10L15/10G10L15/18G10L1/00
    • G10L15/00
    • The accuracy of segmenting an utterance into words is improved by the use of sequence-defining signals. An utterance is recognized as one of a plurality of reference word sequences in an arrangement wherein a set of signals is generated to define the syntax, i.e., word arrangements, of the sequences. Each sequence corresponds to a selected series of reference words. A signal is generated to identify the successive word positions of the sequences. Responsive to the sequence defining signals, the utterance, and the reference words, a set of signals is produced, each representing the correspondence between said utterance and one of the sequences. The sequence having the closest correspondence to the utterance is selected. The sequence correspondence signal generation includes selecting, in each identified word position, the word position reference word for each sequence and the portion of the utterance corresponding thereto responsive to said sequence defining signals, and generating a signal representative of the acoustic correspondence between each sequence word position reference word and its selected utterance portion.
    • 通过使用序列定义信号来提高将话语分割成单词的准确性。 话音被认为是一种布置中的多个参考词序列之一,其中生成一组信号以定义序列的语法,即字排列。 每个序列对应于所选择的一系列参考词。 生成信号以识别序列的连续字位置。 响应于定义信号,发声和参考字的序列,产生一组信号,每个信号表示所述话语和序列之一之间的对应关系。 选择与话语最接近的序列。 序列对应信号生成包括:在每个识别的单词位置中,根据所述序列定义信号,选择每个序列的单词位置参考单词和对应的单词位置参考单词,并且产生表示每个序列词之间的声学​​对应关系的信号 位置参考字及其选择的话语部分。
    • 3. 发明授权
    • Data interface apparatus for multiple sequential processors
    • 用于多个顺序处理器的数据接口装置
    • US4149242A
    • 1979-04-10
    • US794464
    • 1977-05-06
    • Frank C. Pirz
    • Frank C. Pirz
    • G06F15/16G06F9/44G06F15/177G06F15/80G06F3/00
    • G06F9/4436G06F15/8015
    • Apparatus is disclosed for transferring data between multiple peripheral processors (PPs) which are operating under control of a host processor in a multi-processor computer system. In a high data rate application a number of dedicated special purpose PPs are arranged in fixed sequence to provide individual data processing steps. A data path is provided between each PP data memory and the next. A PP transfer unit associated with each PP data memory controls data transfer simultaneously between all PPs. Separate read/write address mapping is provided for each PP data memory. Control information may be associated with each mapped PP data memory location to provide logic functions and data rearrangements during the transfer process. Data from several PPs may be interleaved or may be logically or arithmetically combined with other PP data or constant information.
    • 公开了用于在多处理器计算机系统中在主处理器的控制下操作的多个外围处理器(PP)之间传送数据的装置。 在高数据速率应用中,许多专用专用PP以固定的顺序排列以提供单独的数据处理步骤。 在每个PP数据存储器和下一个数据存储器之间提供数据路径。 与每个PP数据存储器相关联的PP传送单元控制所有PP之间的数据传输。 为每个PP数据存储器提供单独的读/写地址映射。 控制信息可以与每个映射的PP数据存储器位置相关联,以在传送过程期间提供逻辑功能和数据重排。 来自多个PP的数据可以被交织或者可以与其他PP数据或恒定信息在逻辑上或算术上组合。
    • 5. 发明授权
    • Multiple template speech recognition system
    • 多模板语音识别系统
    • US4181821A
    • 1980-01-01
    • US956438
    • 1978-10-31
    • Frank C. PirzLawrence R. Rabiner
    • Frank C. PirzLawrence R. Rabiner
    • G10L11/00G10L11/02G10L15/02G10L15/06G10L15/10G10L1/00
    • G10L25/87G10L15/063
    • A speech analyzer for recognizing an unknown utterance as one of a set of reference words is adapted to generate a feature signal set for each utterance of every reference word. At least one template signal is produced for each reference word which template signal is representative of a group of feature signal sets. Responsive to a feature signal set formed from the unknown utterance and each reference word template signal, a signal representative of the similarity between the unknown utterance and the template signal is generated. A plurality of similarity signals for each reference word is selected and a signal corresponding to the average of said selected similarity signals is formed. The average similarity signals are compared to identify the unknown utterance as the most similar reference word. Features of the invention include: template formation by successive clustering involving partitioning feature signal sets into groups of predetermined similarity by centerpoint clustering, and recognition by comparing the average of selected similarity measures of a time-warped unknown feature signal set with the cluster-derived reference templates for each vocabulary word.
    • 用于将未知发音识别为一组参考词之一的语音分析器适于为每个参考词的每个发声产生一组特征信号。 为每个参考字产生至少一个模板信号,该模板信号代表一组特征信号组。 响应于由未知发音和每个参考字模板信号形成的特征信号组,产生表示未知发音和模板信号之间的相似性的信号。 选择每个参考字的多个相似度信号,并且形成与所述选择的相似度信号的平均值对应的信号。 比较平均相似度信号以将未知话语识别为最相似的参考词。 本发明的特征包括:通过连续聚类的模板形成,其涉及通过中心点聚类将特征信号组划分成预定相似度的组,以及通过将时变未知特征信号集合的所选相似性度量与所述聚类导出参考的平均值进行比较来进行识别 每个词汇单词的模板。
    • 6. 发明授权
    • Continuous speech pattern recognizer
    • 连续语音识别器
    • US4400788A
    • 1983-08-23
    • US248570
    • 1981-03-27
    • Cory S. MyersFrank C. PirzLawrence R. Rabiner
    • Cory S. MyersFrank C. PirzLawrence R. Rabiner
    • G10L11/00G10L15/00G10L15/10G10L15/12G10L1/00
    • G10L15/12G10L15/00
    • This speech recognizer concatenates a string of reference isolated-words for comparison with the unknown string of connected-words. The invention includes a level-building (LB) algorithm, "level" implying a location in a sequence of words. A constrained endpoint dynamic-time-warp algorithm, in which the slope of the warping function is restricted between 1/2 and 2, is used to find the best alignment between an unknown continuous-word test pattern, and a concatenated sequence of L reference patterns. Properties of the LB algorithm include: modification of the references; back-track decision logic; heuristic selection of multiple candidates, and syntax constraints. As a result, the processing required is less than two-level dynamic-program-matching and sampling algorithms.
    • 该语音识别器连接一串参考隔离词,用于与未知字符串的连接词进行比较。 本发明包括水平建立(LB)算法,“水平”意味着单词序列中的位置。 使用约束的端点动态时间 - 扭曲算法,其中扭曲函数的斜率被限制在1/2和2之间,用于找到未知连续字测试模式和L参考的级联序列之间的最佳对准 模式。 LB算法的属性包括:修改引用; 后轨决策逻辑; 多个候选人的启发式选择和语法约束。 因此,所需的处理小于两级动态程序匹配和采样算法。
    • 10. 再颁专利
    • Multiple template speech recognition system
    • 多模板语音识别系统
    • USRE31188E
    • 1983-03-22
    • US336067
    • 1981-12-31
    • Frank C. PirzLawrence R. Rabiner
    • Frank C. PirzLawrence R. Rabiner
    • G10L11/02G10L15/06
    • G10L25/87G10L15/063
    • A speech analyzer for recognizing an unknown utterance as one of a set of reference words is adapted to generate a feature signal set for each utterance of every reference word. At least one template signal is produced for each reference word which template signal is representative of a group of feature signal sets. Responsive to a feature signal set formed from the unknown utterance and each reference word template signal, a signal representative of the similarity between the unknown utterance and the template signal is generated. A plurality of similarity signals for each reference word is selected and a signal corresponding to the average of said selected similarity signals is formed. The average similarity signals are compared to identify the unknown utterance as the most similar reference word. Features of the invention include: template formation by successive clustering involving partitioning feature signal sets into groups of predetermined similarity by centerpoint clustering, and recognition by comparing the average of selected similarity measures of a time-warped unknown feature signal set with the cluster-derived reference templates for each vocabulary word.