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    • 14. 发明授权
    • Speech recognition employing key word modeling and non-key word modeling
    • 语音识别采用关键词建模和非关键词建模
    • US5649057A
    • 1997-07-15
    • US586413
    • 1996-01-16
    • Chin-Hui LeeLawrence Richard RabinerJay Gordon Wilpon
    • Chin-Hui LeeLawrence Richard RabinerJay Gordon Wilpon
    • G10L15/20G10L15/00G10L15/06G10L15/14G10L15/18G10L9/00
    • G10L15/142G10L2015/088
    • Speaker independent recognition of small vocabularies, spoken over the long distance telephone network, is achieved using two types of models, one type for defined vocabulary words (e.g., collect, calling-card, person, third-number and operator), and one type for extraneous input which ranges from non-speech sounds to groups of non-vocabulary words (e.g. `I want to make a collect call please`). For this type of key word spotting, modifications are made to a connected word speech recognition algorithm based on state-transitional (hidden Markov) models which allow it to recognize words from a pre-defined vocabulary list spoken in an unconstrained fashion. Statistical models of both the actual vocabulary words and the extraneous speech and background noises are created. A syntax-driven connected word recognition system is then used to find the best sequence of extraneous input and vocabulary word models for matching the actual input speech.
    • 使用两种类型的模型来实现对长途电话网络上的小词汇的独立识别,一种用于定义的词汇单词(例如,收集,呼叫卡,人,第三号码和运营商)的模型,以及一种类型 对于从非语音声音到非词汇单词组(例如“我想要收集电话”)的无关输入。 对于这种类型的关键词发现,对基于状态转换(隐马尔科夫)模型的连接词语音识别算法进行修改,这允许其识别来自以无限制方式说明的预定义词汇列表中的单词。 创建实际词汇单词和无关语音和背景噪声的统计模型。 然后使用语法驱动的连接词识别系统来找到用于匹配实际输入语音的外来输入和词汇词模型的最佳序列。
    • 15. 发明授权
    • Background speech recognition for voice messaging applications
    • 用于语音消息应用的背景语音识别
    • US6035017A
    • 2000-03-07
    • US788752
    • 1997-01-24
    • Francis Michael FentonRandolph John PilcLawrence Richard Rabiner
    • Francis Michael FentonRandolph John PilcLawrence Richard Rabiner
    • H04M3/533H04M1/64
    • H04M3/533H04M2201/40H04M2201/60H04M3/5335
    • Recorded telephone messages may be automatically handled as specified by the called party by means of a background speech recognition server for a telephone network, a private branch exchange, or a personal computer telephone manager. The called party initializes the method by storing multiple action records in a computer, each containing a key word and an action description. Incoming telephone messages can then be automatically processed by subjecting the audio record of each message to a speech recognition program to produce a text record. The computer then compares the text record with the key words in the action records. When a match is found, the action specified in the action record bearing the matching key words, is performed. In this manner, recorded telephone messages may be automatically handled and prioritized as specified by the called party.
    • 可以通过用于电话网络的背景语音识别服务器,专用小交换机或个人计算机电话管理器,由被叫方自动处理记录的电话消息。 被叫方通过在计算机中存储多个动作记录来初始化该方法,每个操作记录包含关键词和动作描述。 然后可以通过使每个消息的音频记录到语音识别程序来产生文本记录来自动处理来话电话消息。 然后,计算机将文本记录与动作记录中的关键字进行比较。 当发现匹配时,执行在具有匹配关键词的动作记录中指定的动作。 以这种方式,记录的电话消息可以被自动处理并被按照被叫方指定的优先级。