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公开(公告)号：EP1163576A4
公开(公告)日：2005-11-30
申请号：EP99950114
申请日：1999-10-01
Applicant: IBM
Inventor： COFFMAN DANIEL , COMERFORD LIAM D , DEGENNARO STEVEN V , EPSTEIN EDWARD A , GOPALAKRISHNAN PONANI , MAES STEPHANE H , NAHAMOO DAVID
IPC: G06F3/16 , G06F9/44 , G06F9/46 , G06F9/54 , G06F12/00 , G06F15/00 , G06F17/28 , G06F17/30 , G10L13/00 , G10L15/22 , G10L15/26 , H04M1/253 , H04M1/27 , H04M1/725 , H04M3/42 , H04M3/44 , H04M3/493 , H04M3/50 , H04M7/00 , H04M11/00 , G06F17/20 , G10L13/02
CPC classification number: H04M3/50 , G06F17/30899 , G10L15/22 , G10L15/285 , H04L67/02 , H04M1/72561 , H04M3/42204 , H04M3/44 , H04M3/493 , H04M3/4931 , H04M3/4936 , H04M3/4938 , H04M7/00 , H04M2201/40 , H04M2201/60 , H04M2203/355 , H04M2250/74
Abstract: A method for conversational computing includes executing code embodying a conversational virtual machine, registering a plurality of input/output resources with a conversational kernel, providing an interface between a plurality of active applications and the conversational kernel processing input/output data, receiving input queries and input events of a multi-modal dialog across a plurality of user interface modalities of the plurality of active applications, generating output messages and output events of the multi-modal dialog in connection with the plurality of active applications, managing, by the conversational kernel, a context stack associated with the plurality of active applications and the multi-modal dialog to transform the input queries into application calls for the plurality of active applications and convert the output messages into speech, wherein the context stack accumulates a context of each of the plurality of active applications.
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公开(公告)号：WO0020962A2
公开(公告)日：2000-04-13
申请号：PCT/US9922927
申请日：1999-10-01
Applicant: IBM , COFFMAN DANIEL , COMERFORD LIAM D , DEGENNARO STEVEN V , EPSTEIN EDWARD A , GOPALAKRISHNAN PONANI , MAES STEPHANE H , NAHAMOO DAVID
Inventor： COFFMAN DANIEL , COMERFORD LIAM D , DEGENNARO STEVEN V , EPSTEIN EDWARD A , GOPALAKRISHNAN PONANI , MAES STEPHANE H , NAHAMOO DAVID
IPC: G06F3/16 , G06F9/44 , G06F9/46 , G06F9/54 , G06F12/00 , G06F15/00 , G06F17/28 , G06F17/30 , G10L13/00 , G10L15/22 , G10L15/26 , H04M1/253 , H04M1/27 , H04M1/725 , H04M3/42 , H04M3/44 , H04M3/493 , H04M3/50 , H04M7/00 , H04M11/00 , G06F9/00
CPC classification number: H04M3/50 , G06F17/30899 , G10L15/22 , G10L15/285 , H04L67/02 , H04M1/72561 , H04M3/42204 , H04M3/44 , H04M3/493 , H04M3/4931 , H04M3/4936 , H04M3/4938 , H04M7/00 , H04M2201/40 , H04M2201/60 , H04M2203/355 , H04M2250/74
Abstract: A conversational computing system that provides a universal coordinated multi-modal conversational user interface (CUI) (10) across a plurality of conversationally aware applications (11) (i.e., applications that "speak" conversational protocols) and conventional applications (12). The conversationally aware applications (11) communicate with a conversational kernel (14) via conversational application APIs (13). The conversational kernel (14) controls the dialog across applications and devices (local and networked) on the basis of their registered conversational capabilities and requirements and provides a unified conversational user interface and conversational services and behaviors. The conversational computing system may be built on top of a conventional operating system and APIs (15) and conventional device hardware (16). The conversational kernel (14) handles all I/O processing and controls conversational engines (18). The conversational kernel (14) converts voice requests into queries and converts outputs and results into spoken messages using conversational engines (18) and conversational arguments (17). The conversational application API (13) conveys all the information for the conversational kernel (14) to transform queries into application calls and conversely convert output into speech, appropriately sorted before being provided to the user.
Abstract translation: 一种对话计算系统，其跨越多个会话感知应用（11）（即，“说”对话协议的应用“）和常规应用（12）提供通用协调多模式对话用户界面（CUI）（10）。 对话感知应用（11）通过对话应用API（13）与对话内核（14）通信。 对话内核（14）根据其注册的会话能力和要求，控制应用和设备（本地和网络）之间的对话，并提供统一的会话用户界面和对话服务和行为。 对话计算系统可以构建在常规操作系统和API（15）和常规设备硬件（16）之上。 对话内核（14）处理所有I / O处理和控制对话引擎（18）。 会话内核（14）将语音请求转换为查询，并将会话引擎（18）和会话参数（17）将输出和结果转换为口语消息。 对话应用程序API（13）传达对话内核（14）的所有信息，以将查询转换为应用程序调用，并相反地将输出转换为语音，在提供给用户之前进行适当排序。
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Patent Agency Ranking
公开(公告)号：CA2345665A1
公开(公告)日：2000-04-13
申请号：CA2345665
申请日：1999-10-01
Applicant: IBM
Inventor： MAES STEPHANE H , DEGENNARO STEVEN V , COFFMAN DANIEL , NAHAMOO DAVID , COMERFORD LIAM D , EPSTEIN EDWARD A , GOPALAKRISHNAN PONANI
IPC: G06F3/16 , G06F9/44 , G06F9/46 , G06F9/54 , G06F12/00 , G06F15/00 , G06F17/28 , G06F17/30 , G06F40/00 , G10L13/00 , G10L15/22 , G10L15/26 , H04M1/253 , H04M1/27 , H04M1/725 , H04M3/42 , H04M3/44 , H04M3/493 , H04M3/50 , H04M7/00 , H04M11/00 , G06F9/00
Abstract: A conversational computing system that provides a universal coordinated mult i- modal conversational user interface (CUI) (10) across a plurality of conversationally aware applications (11) (i.e., applications that "speak" conversational protocols) and conventional applications (12). The conversationally aware applications (11) communicate with a conversational kernel (14) via conversational application API's (13). The conversational kernel (14) controls the dialog across applications and devices (local and networked) on the basis of their registered conversational capabilities and requirements and provides a unified conversational user interface and conversational services and behaviors. The conversational computing system m ay be built on top of a conventional operating system and API's (15) and conventional device hardware (16). The conversational kernel (14) handles al l I/O processing and controls conversational engines (18). The conversational kernel (14) converts voice requests into queries and converts outputs and results into spoken messages using conversational engines (18) and conversational arguments (17). The conversational application API (13) conve ys all the information for the conversational kernel (14) to transform queries into application calls and conversely convert output into speech, appropriately sorted before being provided to the user.
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公开(公告)号：DE69425776T2
公开(公告)日：2001-04-12
申请号：DE69425776
申请日：1994-03-28
Applicant: IBM
Inventor： EPSTEIN EDWARD A
Abstract: A speech recognition apparatus and method output a recognition signal corresponding to a command model having the best match score for a current sound if the best match score for the current sound is better than a recognition threshold score for the current sound. The recognition threshold comprises a first confidence score if the best match score for a prior sound was better than a recognition threshold for that prior sound. The recognition threshold comprises a second confidence score better than the first confidence score if the best match score for a prior sound was worse than the recognition threshold for that prior sound. In one embodiment, the recognition threshold for the current sound comprises the first confidence score (a1) if the match score for the prior sound and the acoustic silence model is better than a silence match threshold, and if the prior sound has a duration exceeding a silence duration threshold, or (a2) if the match score for the prior sound and the acoustic silence model is better than the silence match threshold, and if the prior sound has a duration less than the silence duration threshold, and if the best match score for the next prior sound and an acoustic command model was better than a recognition threshold for that next prior sound, or (a3) if the match score for the prior sound and the acoustic silence model is worse than the silence match threshold, and if the best match score for the prior sound and an acoustic command model was better than a recognition threshold for that prior sound. The recognition threshold for the current sound comprises the second confidence score better than the first confidence score (b1) if the match score for the prior sound and the acoustic silence model is better than the silence match threshold, and if the prior sound has a duration less than the silence duration threshold, and if the best match score for the next prior sound and an acoustic command model was worse than the recognition threshold for that next prior sound, or (b2) if the match score for the prior sound and the acoustic silence model is worse than the silence match threshold, and if the best match score for the prior sound and an acoustic command model was worse than the recognition threshold for that prior sound.
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5.发明专利
公开(公告)号：CA2072721A1
公开(公告)日：1993-04-04
申请号：CA2072721
申请日：1992-06-29
Applicant: IBM
Inventor： BAHL LALIT R , BELLEGARDA JEROME R , EPSTEIN EDWARD A , LUCASSEN JOHN M , NAHAMOO DAVID , PICHENY MICHAEL A
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公开(公告)号：CA2345665C
公开(公告)日：2011-02-08
申请号：CA2345665
申请日：1999-10-01
Applicant: IBM
Inventor： COFFMAN DANIEL , COMERFORD LIAM D , DEGENNARO STEVEN V , EPSTEIN EDWARD A , GOPALAKRISHNAN PONANI , MAES STEPHANE H , NAHAMOO DAVID
IPC: G06F3/16 , G06F9/00 , G06F9/44 , G06F9/46 , G06F9/54 , G06F12/00 , G06F15/00 , G06F17/28 , G06F17/30 , G06F40/00 , G10L13/00 , G10L15/22 , G10L15/26 , H04M1/253 , H04M1/27 , H04M1/725 , H04M3/42 , H04M3/44 , H04M3/493 , H04M3/50 , H04M7/00 , H04M11/00
Abstract: A conversational computing system that provides a universal coordinated multi-modal conversational user interface (CUI)(10) across a plurality of conversationally aware applications (11) (i.e., applications that "speak" conversational protocols) and conventional applications (12). The conversationally aware applications (11) communicate with a conversational kernel (14) via conversational application APIs (13). The conversational kernel (14) controls the dialog across applications and devices (local and networked) on the basis of their registered conversational capabilities and requirements and provides a unified conversational user interface and conversational services and behaviors. The conversational computing system may be built on top of a conventional operating system and APIs (15) and conventional device hardware (16). The conversational kernel (14) handles all I/O processing and controls conversational engines (18). The conversational kernel (14) converts voice requests into queries and converts outputs and results into spoken messages using conversational engines (18) and conversational arguments (17). The conversational application API (13) conveys all the information for the conversational kernel (14) to transform queries into application calls and conversely convert output into speech, appropriately sorted before being provided to the user.
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公开(公告)号：DE69425776D1
公开(公告)日：2000-10-12
申请号：DE69425776
申请日：1994-03-28
Applicant: IBM
Inventor： EPSTEIN EDWARD A
Abstract: A speech recognition apparatus and method output a recognition signal corresponding to a command model having the best match score for a current sound if the best match score for the current sound is better than a recognition threshold score for the current sound. The recognition threshold comprises a first confidence score if the best match score for a prior sound was better than a recognition threshold for that prior sound. The recognition threshold comprises a second confidence score better than the first confidence score if the best match score for a prior sound was worse than the recognition threshold for that prior sound. In one embodiment, the recognition threshold for the current sound comprises the first confidence score (a1) if the match score for the prior sound and the acoustic silence model is better than a silence match threshold, and if the prior sound has a duration exceeding a silence duration threshold, or (a2) if the match score for the prior sound and the acoustic silence model is better than the silence match threshold, and if the prior sound has a duration less than the silence duration threshold, and if the best match score for the next prior sound and an acoustic command model was better than a recognition threshold for that next prior sound, or (a3) if the match score for the prior sound and the acoustic silence model is worse than the silence match threshold, and if the best match score for the prior sound and an acoustic command model was better than a recognition threshold for that prior sound. The recognition threshold for the current sound comprises the second confidence score better than the first confidence score (b1) if the match score for the prior sound and the acoustic silence model is better than the silence match threshold, and if the prior sound has a duration less than the silence duration threshold, and if the best match score for the next prior sound and an acoustic command model was worse than the recognition threshold for that next prior sound, or (b2) if the match score for the prior sound and the acoustic silence model is worse than the silence match threshold, and if the best match score for the prior sound and an acoustic command model was worse than the recognition threshold for that prior sound.
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