公开(公告)号：US20060293901A1

公开(公告)日：2006-12-28

申请号：US11509390

申请日：2006-08-24

申请人： Satyanarayana Dharanipragada ,  Michael Monkowski ,  Harry Printz ,  Karthik Visweswariah

发明人： Satyanarayana Dharanipragada ,  Michael Monkowski ,  Harry Printz ,  Karthik Visweswariah

IPC分类号： G10L11/00

CPC分类号： G10L15/197 ,  G10L15/183 ,  G10L2015/228

摘要： Techniques are provided for generating improved language modeling. Such improved modeling is achieved by conditioning a language model on a state of a dialog for which the language model is employed. For example, the techniques of the invention may improve modeling of language for use in a speech recognizer of an automatic natural language based dialog system. Improved usability of the dialog system arises from better recognition of a user's utterances by a speech recognizer, associated with the dialog system, using the dialog state-conditioned language models. By way of example, the state of the dialog may be quantified as: (i) the internal state of the natural language understanding part of the dialog system; or (ii) words in the prompt that the dialog system played to the user.

公开(公告)号：US20050143972A1

公开(公告)日：2005-06-30

申请号：US11064643

申请日：2005-02-24

申请人： Ponani Gopalakrishnan ,  Dimitri Kanevsky ,  Michael Monkowski ,  Jan Sedivy

发明人： Ponani Gopalakrishnan ,  Dimitri Kanevsky ,  Michael Monkowski ,  Jan Sedivy

IPC分类号： G06F17/27 ,  G10L15/18 ,  G06F17/21

CPC分类号： G10L15/197 ,  G06F17/27 ,  G10L15/183 ,  Y10S707/99942

摘要： A method for generating a language component vocabulary VC for a speech recognition system having a language vocabulary V of a plurality of word forms is disclosed. The method includes: partitioning the language vocabulary V into subsets of word forms based on frequencies of occurrence of the respective word forms; and in at least one of the subsets, splitting word forms having frequencies less than a threshold to thereby generate word form components. Also disclosed is a method for use in speech recognition including: splitting an acoustic vocabulary comprising baseforms into baseform components and storing the baseform components; and, performing sound to spelling mapping on the baseform components so as to generate a baseform components to word parts table for use in subsequent decoding of speech. A method for decoding a speech utterance using language model components and acoustic components, includes the steps of: generating from the utterance a stack of baseform component paths; concatenating baseform components in a path to generate concatenated baseforms, when the concatenated baseform components correspond to a baseform found in an acoustic vocabulary; mapping the concatenated baseforms into words; computing language model (LM) scores associated with the words using a language model, and performing further decoding of the utterance based thereupon.

摘要翻译： 公开了一种用于生成具有多个单词形式的语言词汇V的语音识别系统的语言组件词汇VC的方法。 该方法包括：基于各个词形式的出现频率将语言词汇V划分成单词形式的子集; 并且在至少一个子集中，分割具有小于阈值的频率的字形式，从而生成词形分量。 还公开了一种用于语音识别的方法，包括：将包含基本形式的声学词汇分解成基本形式组件并存储基本形式组件; 并且对基本形式组件执行声音拼写映射，以便生成用于语音后续解码中的字部分表的基本形式分量。 一种使用语言模型分量和声学分量对语音发音进行解码的方法，包括以下步骤：从发音中产生一叠基础分量路径; 当级联的基本形式组件对应于在声学词汇中发现的基础形式时，将路径中的基本形式组件连接以生成级联的基本形式; 将连接的基本形式映射为单词; 与使用语言模型的单词相关联的计算语言模型（LM）得分，并且基于此进行对话语的进一步解码。

公开(公告)号：US20050137862A1

公开(公告)日：2005-06-23

申请号：US10740661

申请日：2003-12-19

申请人： Michael Monkowski

发明人： Michael Monkowski

IPC分类号： G10L15/02 ,  G10L15/06 ,  G10L19/14

CPC分类号： G10L15/02 ,  G10L15/06

摘要： Methods and arrangements for generating a voice model in speech processing. Upon accepting at least two input vectors with spectral features, vectors of ranks are created via ranking values of the spectral features of each input vector, ordered vectors are created via arranging the values of each input vector according to rank, and a vector of ordered average values is created via determining the average of corresponding values of the ordered vectors. Thence, a vector of ordered average ranks is created via determining the sum or average of the vectors of ranks, a vector of ordered ranks is created via ranking the values of the ordered average ranks and a spectral feature vector is created via employing the rank order represented by the vector of ordered ranks to reorder the vector of ordered average ranks.

摘要翻译： 在语音处理中生成语音模型的方法和布置。 在接收具有光谱特征的至少两个输入向量时，通过每个输入向量的光谱特征的等级值来创建等级的向量，通过根据秩排列每个输入向量的值和有序平均的向量来创建有序向量 通过确定有序向量的对应值的平均值来创建值。 因此，通过确定等级向量的和或平均来创建有序平均队列的向量，通过排序有序平均队列的值来创建有序队列的向量，并且通过使用等级顺序创建频谱特征向量 由有序秩序的向量表示，以重新排列有序平均排名的向量。

公开(公告)号：US06071767A

公开(公告)日：2000-06-06

申请号：US900528

申请日：1992-06-17

申请人： Michael Monkowski ,  Seiki Ogura ,  Nivo Rovedo ,  Joseph Francis Shepard

发明人： Michael Monkowski ,  Seiki Ogura ,  Nivo Rovedo ,  Joseph Francis Shepard

IPC分类号： H01L27/06 ,  H01L21/225 ,  H01L21/763 ,  H01L21/8249 ,  H01L21/8238

CPC分类号： H01L21/2257 ,  H01L21/763 ,  H01L21/8249

摘要： An integrated circuit using high-performance bipolar and CMOS transistor elements on a single chip is fabricated by a simplified process requiring minimal, if any, changes in the process used for forming either type of device in accordance with a variety of possible device designs. The method according to the invention makes maximal use of self-aligned and self-masking processes to reduce the number of processing steps. The number of processing steps is further reduced by performing some steps concurrently on different device types. Further, the masking steps which are employed are reasonably misregistration tolerant, resulting in high manufacturing yield for the process. Consequently, the process according to the invention substantially eliminates the existence of trade-offs between element performance, integration density and process complexity and cost when plural technologies are integrated on the same chip.

摘要翻译： 在单个芯片上使用高性能双极晶体管和CMOS晶体管元件的集成电路通过简化的工艺来制造，这需要根据各种可能的器件设计来形成任何一种器件的工艺过程的最小化（如果有的话）变化。 根据本发明的方法最大限度地利用自对准和自掩蔽过程来减少处理步骤的数量。 通过在不同的设备类型上同时执行一些步骤来进一步减少处理步骤的数量。 此外，所使用的掩蔽步骤是合理的对准容限，导致该方法的高制造产量。 因此，当多个技术集成在同一芯片上时，根据本发明的方法基本上消除了元件性能，集成密度和工艺复杂性以及成本之间的权衡的存在。