Conversation member optimization apparatus, conversation member optimization method, and program

• US 10,699,224 B2
• Filed: 07/10/2017
• Issued: 06/30/2020
• Est. Priority Date: 09/13/2016
• Status: Active Grant

• Current Assignee: Honda Motor Co., Ltd. (Honda Motor Company)
• Original Assignee: Honda Motor Co., Ltd. (Honda Motor Company)
• Inventors: Mizumoto, Takeshi, Hagiya, Shunichi
• Primary Examiner(s): Waesco, Joseph M
• Application Number:
  US15/645,007
• Publication Number:
  US 20180075395A1
• Time in Patent Office: 1,086 Days
• Field of Search: None
• CPC Class Codes: G06F 16/9024 Graphs; Linked lists G06F16/9027 takes precedence
• CPC Class Codes: G06F 17/16 Matrix or vector computation , e.g. matrix-matrix or matrix-vector multiplication, matrix factorization matrix transposition G06F7/78
• CPC Class Codes: G06Q 10/04 Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" market predictions or forecasting for commercial activities G06Q30/0202
• CPC Class Codes: G06Q 10/063114 Status monitoring or status determination for a person or group
• CPC Class Codes: G06Q 10/06315 Needs-based resource requirements planning or analysis
• CPC Class Codes: G10L 15/14 using statistical models, e.g. Hidden Markov Models [HMMs] G10L15/18 takes precedence
• CPC Class Codes: G10L 15/222 Barge in, i.e. overridable guidance for interrupting prompts

Abstract

A conversation member optimization apparatus includes: a conversation analyzing unit configured to recognize sound signals in a plurality of conferences held in the past for each conference and analyze conversations in the conferences for each conference; an estimating unit configured to estimate feature quantities in combinations of the members who participate in the conferences to be held on the basis of results analyzed by the conversation analyzing unit and in accordance with a member selecting instruction used to select members who participate in conferences to be held; and a member selecting unit configured to select the members on the basis of the results estimated by the estimating unit.

Claims

1. A conversation member optimization apparatus, comprising:

a terminal configured to acquire acoustic signals of a conference and output the acquired acoustic signals to a channel of sound signals; and

at least one processor programmed to function as;

a conversation analyzing unit configured to recognize sound signals from the channel of sound signals output by the terminal in a plurality of recorded conferences held in the past for each conference and analyze conversations in the conferences for each conference;

an estimating unit configured to estimate feature quantities in combinations of members who will participate in a conference to be held on the basis of results analyzed by the conversation analyzing unit and in accordance with a member selecting instruction used to select members to participate in the conference to be held; and

a member selecting unit configured to select the members on the basis of the results estimated by the estimating unit and to communicate the members selected to an output apparatus that outputs the members selected to a user,

wherein the feature quantities include at least one of;

an amount of conditional utterances serving as an amount of utterances according to a combination of one member and another member,

an interrupt matrix indicating whether another member interrupts and one member speaks, and

activity probability serving as probability of another member speaking after one member,

wherein the member selecting instruction includes the total number of participating members in the conference to be held and determination information indicating at least one member who is determined to participate in advance among participating members in the conference to be held,

members other than the member who is determined to participate in advance are candidates for selectable members,

the feature quantities include at least the amount of conditional utterances, and

the estimating unit repeatedly performs selection until the one member among the members who are the candidates is included in the total number of participating members in the conference to be held so that the amount of conditional utterances when participating members in the conference to be held are combined with members who are candidates to be selected are combined one by one is maximized.

2. A conversation member optimization apparatus, comprising:

a terminal configured to acquire acoustic signals of a conference and output the acquired acoustic signals to a channel of sound signals; and

at least one processor programmed to function as;

a conversation analyzing unit configured to recognize sound signals from the channel of sound signals output by the terminal in a plurality of recorded conferences held in the past for each conference and analyze conversations in the conferences for each conference;

an estimating unit configured to estimate feature quantities in combinations of members who will participate in a conference to be held on the basis of results analyzed by the conversation analyzing unit and in accordance with a member selecting instruction used to select members to participate in the conference to be held; and

a member selecting unit configured to select the members on the basis of the results estimated by the estimating unit and to communicate the members selected to an output apparatus that outputs the members selected to a user,

wherein the feature quantities include;

an amount of conditional utterances serving as an amount of utterances according to a combination of one member and another member,

an interrupt matrix indicating whether another member interrupts and one member speaks, and

activity probability serving as probability of another member speaking after one member,

wherein the member selecting instruction includes the total number of participating members in the conference to be held and determination information indicating at least one member who is determined to participate in advance among participating members in the conference to be held,

members other than the member who is determined to participate in advance are candidates for selectable members, and

the estimating unit repeatedly performs selection until the one member among the members who are the candidates is included in the total number of participating members in the conference to be held so that the amounts of conditional utterances when participating members in the conference to be held are combined with members who are candidates to be selected are combined one by one and sums of values obtained by converting the interrupt matrix into scalar values and values obtained by converting the activity probability into scalar values are maximized.

3. The conversation member optimization apparatus according to claim 2,

wherein the estimating unit selects a function used for converting the interrupt matrix into scalar values in accordance with selection conditions included in the member selecting instruction when the interrupt matrix is converted into the scalar values.

4. A conversation member optimization apparatus, comprising:

a terminal configured to acquire acoustic signals of a conference and output the acquired acoustic signals to a channel of sound signals; and

at least one processor programmed to function as;

a conversation analyzing unit configured to recognize sound signals from the channel of sound signals output by the terminal in a plurality of recorded conferences held in the past for each conference and analyze conversations in the conferences for each conference;

an estimating unit configured to estimate feature quantities in combinations of members who will participate in a conference to be held on the basis of results analyzed by the conversation analyzing unit and in accordance with a member selecting instruction used to select members to participate in the conference to be held; and

a member selecting unit configured to select the members on the basis of the results estimated by the estimating unit and to communicate the members selected to an output apparatus that outputs the members selected to a user,

wherein the feature quantities include;

an amount of conditional utterances serving as an amount of utterances according to a combination of one member and another member,

an interrupt matrix indicating whether another member interrupts and one member speaks, and

activity probability serving as probability of another member speaking after one member,

wherein the member selecting instruction includes the total number of participating members in the conference to be held and determination information indicating at least one member who is determined to participate in advance among participating members in the conference to be held,

members other than the member who is determined to participate in advance are candidates for selectable members,

the estimating unit selects a member for whom the amounts of conditional utterances when participating members in the conference to be held are combined with members who are candidates to be selected are combined one by one are a first threshold value or more,

selects a member for whom the values obtained by converting the interrupt matrix into the scalar values when participating members in the conference to be held are combined with members who are candidates to be selected are combined one by one are a second threshold value or more, and

selects a member for whom the values obtained by converting the activity probability into the scalar values when participating members in the conference to be held are combined with members who are candidates to be selected are combined one by one are a third threshold value or more, and

wherein the member selecting unit repeatedly performs selection until the one member among the members who are the candidates is included in the total number of participating members in the conference to be held on the basis of the results selected by the estimating unit.