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    • 33. 发明授权
    • System and method for automatic verification of the understandability of speech
    • 自动验证语音的可理解性的系统和方法
    • US08117033B2
    • 2012-02-14
    • US13204932
    • 2011-08-08
    • Harvey S. CohenRandy G. GoldbergKenneth H. Rosen
    • Harvey S. CohenRandy G. GoldbergKenneth H. Rosen
    • G10L17/00
    • H04M3/2236G10L25/69H04M3/4936
    • Disclosed herein are systems, methods, and computer-readable storage media for processing a message received from a user to determine whether an estimate of intelligibility is below an intelligibility threshold. The method includes recognizing a portion of a user's message that contains the one or more expected utterances from a critical information list, calculating an estimate of intelligibility for the recognized portion of the user's message that contains the one or more expected utterances, and prompting the user to repeat at least the recognized portion of the user's message if the calculated estimate of intelligibility for the recognized portion of the user's message is below an intelligibility threshold. In one aspect, the method further includes prompting the user to repeat at least a portion of the message if any of a measured speech level and a measured signal-to-noise ratio of the user's message are determined to be below their respective thresholds.
    • 本文公开了用于处理从用户接收的消息的系统,方法和计算机可读存储介质,以确定可懂度的估计是否低于可懂度阈值。 该方法包括从关键信息列表中识别包含一个或多个预期话语的用户消息的一部分,计算包含一个或多个预期话语的用户消息的识别部分的可懂度的估计,并提示用户 如果所计算的用户消息的识别部分的可懂度估计低于可懂度阈值,则至少重复用户消息的识别部分。 在一个方面,所述方法还包括提示用户重复所述消息的至少一部分,如果确定所述用户消息的测量语音水平和所测量的信噪比中的任一个低于其各自的阈值。
    • 34. 发明授权
    • System and method for automatic verification of the understandability of speech
    • 自动验证语音的可理解性的系统和方法
    • US07996221B2
    • 2011-08-09
    • US12644802
    • 2009-12-22
    • Harvey S. CohenRandy G. GoldbergKenneth H. Rosen
    • Harvey S. CohenRandy G. GoldbergKenneth H. Rosen
    • G10L17/00
    • H04M3/2236G10L25/69H04M3/4936
    • Disclosed herein are systems, methods, and computer-readable storage media for processing a message received from a user to determine whether an estimate of intelligibility is below an intelligibility threshold. The method includes recognizing a portion of a user's message that contains the one or more expected utterances from a critical information list, calculating an estimate of intelligibility for the recognized portion of the user's message that contains the one or more expected utterances, and prompting the user to repeat at least the recognized portion of the user's message if the calculated estimate of intelligibility for the recognized portion of the user's message is below an intelligibility threshold. In one aspect, the method further includes prompting the user to repeat at least a portion of the message if any of a measured speech level and a measured signal-to-noise ratio of the user's message are determined to be below their respective thresholds.
    • 本文公开了用于处理从用户接收的消息的系统,方法和计算机可读存储介质,以确定可懂度的估计是否低于可懂度阈值。 该方法包括从关键信息列表中识别包含一个或多个预期话语的用户消息的一部分,计算包含一个或多个预期话语的用户消息的识别部分的可懂度的估计,并提示用户 如果所计算的用户消息的识别部分的可懂度估计低于可懂度阈值,则至少重复用户消息的识别部分。 在一个方面,所述方法还包括提示用户重复所述消息的至少一部分,如果确定所述用户消息的测量语音水平和所测量的信噪比中的任一个低于其各自的阈值。
    • 35. 发明授权
    • System and method for automatic verification of the understandability of speech
    • 自动验证语音的可理解性的系统和方法
    • US07295982B1
    • 2007-11-13
    • US09992988
    • 2001-11-19
    • Harvey S. CohenRandy G. GoldbergKenneth H. Rosen
    • Harvey S. CohenRandy G. GoldbergKenneth H. Rosen
    • G10L21/00
    • H04M3/2236G10L25/69H04M3/4936
    • The present invention relates to a system and method for automatically verifying that a message received from a user is intelligible. In an exemplary embodiment, a message is received from the user. A speech level of the user's message may be measured and compared to a pre-determined speech level threshold to determine whether the measured speech level is below the pre-determined speech level threshold. A signal-to-noise ratio of the user's message may be measured and compared to a pre-determined signal-to-noise ratio threshold to determine whether the measured signal-to-noise ratio of the message is below the pre-determined signal-to-noise ratio threshold. An estimate of intelligibility for the user's message may be calculated and compared to an intelligibility threshold to determine whether the calculated estimate of intelligibility is below the intelligibility threshold. If any of the measured speech level, measured signal-to-noise ratio and calculated estimate of intelligibility of the user's message are determined to be below their respective thresholds, the user may be prompted to repeat at least a portion of the message.
    • 本发明涉及一种用于自动验证从用户接收的消息是可理解的系统和方法。 在示例性实施例中,从用户接收到消息。 可以测量用户消息的语音电平并将其与预定语音电平阈值进行比较,以确定所测量的语音电平是否低于预定语音电平阈值。 可以测量用户消息的信噪比并将其与预定信噪比阈值进行比较,以确定所测量的消息的信噪比是否低于预定信号 - 信噪比阈值。 可以计算用户消息的可懂度的估计,并将其与可懂度阈值进行比较,以确定所计算的可懂度的估计是否低于可懂度阈值。 如果测量的语音水平,测量的信噪比和用户消息的可理解度的计算估计中的任何一个被确定为低于其各自的阈值,则可能提示用户重复消息的至少一部分。
    • 37. 发明授权
    • Method and system for affinity group telephone service
    • 亲和组电话服务的方法和系统
    • US06205205B1
    • 2001-03-20
    • US09020931
    • 1998-02-09
    • Randy G. GoldbergBruce Lowell HansonAmir M. Mane
    • Randy G. GoldbergBruce Lowell HansonAmir M. Mane
    • H04M164
    • H04M3/42017H04M3/42H04M2203/2044H04M2203/2061
    • A plurality of subscribers in a telecommunications network are divided into affinity groups. Subscribers in a particular affinity group have a common interest which is different from that of subscribers in other affinity groups. That interest may a common cultural heritage, a common language preference, a common vocational or avocational interest, or the like. Each respective affinity group has associated with it a customized set of call processing characteristics, such as a distinctive dial tone, a distinctive subscriber language preference, and/or an abbreviated dialing list of other subscribers in the group. In addition, each respective affinity group can have a special broadcast message sent to the some or all of the subscribers in the group.
    • 电信网络中的多个用户被分为亲和组。 特定关联组中的订阅者具有与其他亲和组中的订户不同的共同兴趣。 这种兴趣可能是共同的文化遗产,共同的语言偏好,普通的职业或职业兴趣等。 每个相关联的组已经与它相关联的一组定制的呼叫处理特性集合,诸如区别拨号音,独特的用户语言偏好和/或组中的其他订户的缩写拨号列表。 此外,每个相应的亲和组可以具有发送给组中的一些或所有订户的特殊广播消息。
    • 38. 发明授权
    • Confusion matrix based method and system for correcting misrecognized
words appearing in documents generated by an optical character
recognition technique
    • 基于混淆矩阵的方法和系统,用于校正出现在由光学字符识别技术产生的文档中的误识别词
    • US6154579A
    • 2000-11-28
    • US909199
    • 1997-08-11
    • Randy G. Goldberg
    • Randy G. Goldberg
    • G06K9/03G06K9/68G06K9/72
    • G06K9/6857G06K9/03
    • A method and apparatus for correcting misrecognized words appearing in electronic documents that have been generated by scanning an original document in accordance with an optical character recognition ("OCR") technique. If an incorrect word is found in the electronic document, the present invention generates at least one reference word and selects the reference word that is the most likely correct replacement for the incorrect word. This selection is accomplished by performing a probabilistic determination that assigns to each reference word a replacement word recognition probability. The probabilistic determination is carried out on the basis of a pre-stored confusion matrix that stores a plurality of probability values. The confusion matrix is used to associate each character of recognized word in the electronic document with a corresponding character of a word in the original document on the basis of these probability values.
    • 一种用于校正通过根据光学字符识别(“OCR”)技术扫描原始文档而产生的电子文档中出现的误识别词的方法和装置。 如果在电子文档中发现不正确的字,则本发明生成至少一个参考字,并且选择对该错误字最可能正确替换的参考字。 该选择通过执行向每个参考字分配替换字识别概率的概率确定来实现。 概率确定是基于存储多个概率值的预先存储的混淆矩阵进行的。 混淆矩阵用于基于这些概率值将电子文档中的识别字的每个字符与原始文档中的单词的相应字符相关联。
    • 39. 发明授权
    • Speech recognition system with implicit checksum
    • 具有隐式校验和的语音识别系统
    • US6049768A
    • 2000-04-11
    • US963381
    • 1997-11-03
    • Randy G. GoldbergJohn Bruce Harlow
    • Randy G. GoldbergJohn Bruce Harlow
    • G10L15/22G10L17/00
    • G10L17/24G10L15/22
    • A user identifier is preassigned to a user, the user identifier being generated by retrieving an implicit checksum and calculating the user identifier (by, for example, using a hidden Markov model) using a checksum operation such as a modulo algorithm so that the user identifier conforms to the implicit checksum, the implicit checksum being based on a checksum parameter, such as the current date or month or a user's phone number. The preassigned user identifier is then received from the user, at and least one recognized identifier is received that is based on the received preassigned user identifier. A checksum is calculated for one recognized identifier using a checksum operation, and the implicit checksum is retrieved. The calculated checksum is compared with the implicit checksum, and the one recognized identifier is selected as the received preassigned user identifier if the calculated checksum equals the retrieved implicit checksum. The selected recognized identifier can be determined as the received user identifier by presenting the selection to the user and receiving confirmation.
    • 用户标识符被预先分配给用户,该用户标识符是通过检索隐式校验和并使用诸如模算法的校验和操作计算用户标识符(例如使用隐马尔可夫模型)来生成的,以便用户标识符 符合隐式校验和,隐式校验和基于校验和参数,例如当前日期或月份或用户的电话号码。 然后从用户接收预先分配的用户标识符,并且基于接收的预先分配的用户标识符接收至少一个识别的标识符。 使用校验和操作为一个识别的标识符计算校验和,并检索隐式校验和。 将计算的校验和与隐式校验和进行比较,如果计算的校验和等于检索到的隐式校验和,则将一个已识别的标识符选择为接收的预先分配的用户标识符。 所选择的识别标识符可以通过向用户呈现选择并接收确认来确定为接收的用户标识符。