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    • 72. 发明授权
    • Acoustic model creation method as well as acoustic model creation apparatus and speech recognition apparatus
    • 声学模型创建方法以及声学模型创建装置和语音识别装置
    • US07366669B2
    • 2008-04-29
    • US10793859
    • 2004-03-08
    • Masanobu NishitaniYasunaga MiyazawaHiroshi MatsumotoKazumasa Yamamoto
    • Masanobu NishitaniYasunaga MiyazawaHiroshi MatsumotoKazumasa Yamamoto
    • G10L15/14
    • G10L15/144G10L2015/027
    • To provide an acoustic model which can absorb the fluctuation of a phonemic environment in an interval longer than a syllable, with the number of parameters of the acoustic model suppressed to be small, a phoneme-connected syllable HMM/syllable-connected HMM set is generated in such a way that a phoneme-connected syllable HMM set corresponding to individual syllables is generated by combining phoneme HMMs. A preliminary experiment is conducted using the phoneme-connected syllable HMM set and training speech data. Any misrecognized syllable and the preceding syllable of the misrecognized syllable are checked using results of a preliminary experiment syllable label data. The combination between a correct answer syllable for the misrecognized syllable and the preceding syllable of the misrecognized syllable is extracted as a syllable connection. A syllable-connected HMM corresponding to this syllable connection is added into the phoneme-connected syllable HMM set. The resulting phoneme-connected syllable HMM set is trained using the training speech data and the syllable label data.
    • 为了提供能够以比音节更长的间隔吸收音素环境的波动的声学模型,声学模型的参数的数量被抑制为小,则产生音素连接的音节HMM /音节连接的HMM集合 通过组合音素HMM产生与单个音节对应的音素连接的音节HMM集合。 使用音素连接的音节HMM集和训练语音数据进行初步实验。 使用初步实验音节标签数据的结果检查错误识别的音节中的任何错误识别的音节和上述音节。 将错误识别的音节的正确答案音节与错误识别的音节的前一个音节之间的组合作为音节连接提取。 与音节连接对应的音节连接的HMM被添加到音素连接的音节HMM集合中。 使用训练语音数据和音节标签数据训练所得到的音素连接的音节HMM集合。
    • 73. 发明授权
    • Front projection type multi-projection display
    • 前投影型多投影显示
    • US07338175B2
    • 2008-03-04
    • US10998225
    • 2004-11-29
    • Yasunaga MiyazawaHiroshi Hasegawa
    • Yasunaga MiyazawaHiroshi Hasegawa
    • G03B21/14
    • H04N9/3147H04N9/3194
    • A front projection type multi-projection display includes a plurality of projector units to modulate and project light from a light source based on image information, an image-capturing device disposed in a housing to capture predetermined regions of the projection images projected onto the screen, a unit image information generating unit to generate image information to be input to each of the plurality of projector units, and a unit image information correcting unit to correct the unit image information based on a result captured by the image-capturing device. Therefore, it is possible to perform the adjustment process and to further reduce the adjustment time.
    • 前投影型多投影显示器包括:多个投影仪单元,用于基于图像信息调制和投射来自光源的光;图像捕获装置,设置在外壳中,以捕捉投影到屏幕上的投影图像的预定区域; 单位图像信息生成单元,生成要输入到所述多个投影仪单元中的每一个的图像信息;以及单位图像信息校正单元,基于由所述图像捕获装置捕获的结果来校正所述单位图像信息。 因此,可以进行调整处理并进一步减少调整时间。
    • 76. 发明授权
    • Method of calculating HMM output probability and speech recognition apparatus
    • 计算HMM输出概率和语音识别装置的方法
    • US07058576B2
    • 2006-06-06
    • US10197461
    • 2002-07-18
    • Yasunaga MiyazawaHiroshi Hasegawa
    • Yasunaga MiyazawaHiroshi Hasegawa
    • G10L15/14
    • G10L15/142
    • The invention relates to speech recognition based on HMM, in which speech recognition is performed by performing vector quantization and obtaining an output probability by table reference, and the amount of computation and use of memory area are minimized while achieving a high ability of recognition. Exemplary codebooks used for vector quantization can be provided as follows: if phonemes are used as subwords, codebooks for respective phonemes, such that a codebook CB1 is a codebook for a phoneme /a/ and a codebook CB2 is a codebook for a phoneme /i/, and these codebooks are associated with respective phoneme HMMs. When a feature vector obtained by speech analysis is vector quantized based on, for example, the codebook CB1 and a code (label) is output, tables for respective states of the phoneme HMM associated with the codebook CB1 are each referred to in order to obtain state output probabilities corresponding to the label, and speech recognition is performed using the state output probabilities as a parameter.
    • 本发明涉及基于HMM的语音识别,其中通过执行矢量量化并通过表参考获得输出概率来执行语音识别,并且最小化存储区域的计算和使用量,同时实现高的识别能力。 用于矢量量化的示例性代码簿可以如下提供:如果音素被用作子词,则各个音素的码本,使得码本CB 1是用于音素/ a /和码本CB 2的码本是用于音素的码本 / i /,并且这些码本与相应的音素HMM相关联。 当通过语音分析获得的特征向量基于例如码本CB 1进行矢量量化时,输出代码(标号)时,与码本CB 1相关联的音素HMM的各个状态的表各自按照顺序 以获得与标签相对应的状态输出概率,并且使用状态输出概率作为参数来执行语音识别。
    • 80. 发明申请
    • Acoustic model creating method, acoustic model creating apparatus, acoustic model creating program, and speech recognition apparatus
    • 声学模型创建方法,声学模型创建装置,声学模型创建程序和语音识别装置
    • US20050131694A1
    • 2005-06-16
    • US10998065
    • 2004-11-29
    • Masanobu NishitaniYasunaga MiyazawaHiroshi MatsumotoKazumasa Yamamoto
    • Masanobu NishitaniYasunaga MiyazawaHiroshi MatsumotoKazumasa Yamamoto
    • G10L15/14G10L15/06
    • G10L15/144
    • Exemplary embodiments of the invention enhance the recognition ability by optimizing the distribution numbers for respective states that constitute an HMM (for example, a syllable HMM). Exemplary embodiments provide a distribution number setting device to increment the distribution number step by step for each state in an HMM; an alignment data creating unit to create alignment data by matching each state having been set to a specific distribution number to training speech data; a description length calculating unit to find, according to the Minimum Description Length criterion, a description length of each state in an HMM having the present time distribution number and a description length of each state in an HMM having the immediately preceding distribution number, with the use of the alignment data; and an optimum distribution number determining device to set an optimum distribution number to each state on the basis of the size of the description length found for each state in the HMM having the present time distribution number and the description length found for each state in the HMM having the immediately preceding distribution number.
    • 本发明的示例性实施例通过优化构成HMM(例如,音节HMM)的各个状态的分布数来增强识别能力。 示例性实施例提供分发号码设置装置,用于逐步增加HMM中的每个状态的分配号码; 对准数据创建单元,通过将已经设置为特定分配号的每个状态与训练语音数据相匹配来创建对准数据; 描述长度计算单元,根据最小描述长度标准,找到具有当前时间分布数的HMM中的每个状态的描述长度和具有紧邻在前分发号的HMM中的每个状态的描述长度,其中 使用对齐数据; 以及最优分配数确定装置,用于根据在具有当前时间分布数的HMM中针对每个状态找到的描述长度的大小和针对HMM中的每个状态找到的描述长度来设置每个状态的最优分配数 具有紧接在前的分发号码。