Abstract: A method is claimed for managing interactive dialog between a machine and a user. In one embodiment, an interaction between the machine and the user is managed in response to a timing position of possible speech onset from the user. In another embodiment, the interaction between the machine and the user is dependent upon the timing of a recognition result, which is relative to a cessation of a verbalization of a desired sequence from the machine. In another embodiment, the interaction between the machine and the user is dependent upon a recognition result and whether the desired sequence was ceased or not ceased.

Abstract: A method for managing interactive dialog between a machine and a user. In one embodiment, an interaction between the machine and the user is managed by determining at least one likelihood value which is dependent upon a possible speech onset of the user. In another embodiment, the likelihood value can be dependent on a model of a desire of the user for specific items, a model of an attention of the user to specific items, or a model of turn-taking cues. The values can be used to determine a mode confidence value that is used by the system to determine the nature of prompts provided to the user.

Abstract: A method for managing interactive dialog between a machine and a user. In one embodiment, an interaction between the machine and the user is managed by determining at least one likelihood value which is dependent upon a possible speech onset of the user. In another embodiment, the likelihood value can be dependent on a model of a desire of the user for specific items, a model of an attention of the user to specific items, or a model of turn-taking cues. The values can be used to determine a mode confidence value that is used by the system to determine the nature of prompts provided to the user.

Abstract: A method for managing interactive dialog between a machine and a user is claimed. In one embodiment, an interaction between the machine and the user is managed by determining at least one likelihood value which is dependent upon a possible speech onset of the user. In another embodiment, the likelihood value can be dependent a model of a desire of the user for specific items, a model of an attention of the user to specific items, or a model of turn-taking cues. Further, the likelihood value can be utilized in a voice activity system.

Abstract: A method is claimed for managing interactive dialog between a machine and a user. In one embodiment, an interaction between the machine and the user is managed in response to a timing position of possible speech onset from the user. In another embodiment, the interaction between the machine and the user is dependent upon the timing of a recognition result, which is relative to a cessation of a verbalization of a desired sequence from the machine. In another embodiment, the interaction between the machine and the user is dependent upon a recognition result and whether the desired sequence was ceased or not ceased.

Abstract: A method is claimed for managing interactive dialog between a machine and a user. In one embodiment, an interaction between the machine and the user is managed in response to a timing position of possible speech onset from the user. In another embodiment, the interaction between the machine and the user is dependent upon the timing of a recognition result, which is relative to a cessation of a verbalization of a desired sequence from the machine. In another embodiment, the interaction between the machine and the user is dependent upon a recognition result and whether the desired sequence was ceased or not ceased.

Abstract: A method for managing interactive dialog between a machine and a user is claimed. In one embodiment, an interaction between the machine and the user is managed by determining at least one likelihood value which is dependent upon a possible speech onset of the user. In another embodiment, the likelihood value can be dependent a model of a desire of the user for specific items, a model of an attention of the user to specific items, or a model of turn-taking cues. Further, the likelihood value can be utilized in a voice activity system.

Abstract: A method for managing an interactive dialog between a machine and a user is claimed. In one embodiment, a confidence value is determined in response to an input provided by the user or an environment of the user. The confidence value can be utilized to determine the mode and the verbalization of a desired sequence of spoken phrases. The input provided by the user can be audio input or touch tone input. The desired sequence of spoken phrases can comprise instructions encouraging a user to use audio input, touch tone input or both. In another embodiment, the confidence value can be further affected by: input exit conditions; speech onset timings; duration of audio input; or a model of user attention.

Abstract: A method for managing interactive dialog between a machine and a user is claimed. In one embodiment, an interaction between the machine and the user is managed in response to a confidence value, wherein the confidence value is dependent upon speech recognition confidence and at least one non-acoustic confidence value. The non-acoustic confidence values can be turn-taking confidence, speech duration confidence, state-completion confidence or mode confidence. In multiple embodiments, the non-acoustic confidence value can be dependent upon a timing position of the possible speech onset. The non-acoustic confidence value can be dependent upon a duration of an audio input. The non-acoustic confidence value can be dependent upon a model of user attention. The non-acoustic confidence value can be dependent upon a history of exit conditions associated with interactions during a course of a session.

Abstract: The system has a speech recogniser (2) for recognising speech from a user and a synthesiser (6) for replying to him and engages in a dialogue with the object of enabling the user to convey to the system a piece of information such as a telephone number. The system builds up the number in a buffer (10). Each time it receives a string of digits, it reads it back for confirmation. When a number (or part of one) is read back, it is divided into “chunks” according to certain criteria: the positions of these divisions can be recorded to be taken into account in later processing. Responses are compared with the current buffer contents to determine whether they it should be interpreted as a correction, partial correction or pure continuation of the existing contents. Positions in the buffer at which pure continuations are entered are marked, to allow a “final repair” process in which, if the final result fails to match some criterion of acceptability (e.g.

Abstract: The invention provides a multi-modal interactive dialogue apparatus and method that has inputs and outputs of different data types, for example audio and visual. The apparatus is provided with a data store in which data relating to properties of the different types is stored, and this data may be used to control how a dialogue with a user progresses.