# US 2014/0156276 A1 · Conversation system and a method for recognizing speech

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- Number: US 2014/0156276 A1
- Document ID: US20140156276A1
- Status: Published application
- Kind: A1
- Application number: 13/900,997
- Filed: 2013-05-23
- Published: 2014-06-05
- Earliest claimed: 2012-10-12
- Assignees: Honda Motor Co., Ltd.
- Applicants: Honda Motor Co., Ltd.
- Inventors: Mikio NAKANO; Kauznori KOMATANI; Akira HIRANO
- Web page: https://patentgrep.com/patent/US20140156276A1

## CPC

- G10L 15/222: {Barge in, i.e. overridable guidance for interrupting prompts}
- G10L: SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING

## Abstract

A dialogue system which correctly identifies an utterance directed to a dialogue system by using various pieces of information including information other than a voice recognition result without requiring a special signal is provided. A dialogue system includes an utterance detection/voice recognition unit that detects an utterance and recognizes a voice and an utterance feature extraction unit that extracts features of an utterance. The utterance feature extraction unit determines whether or not a target utterance is directed to the dialogue system based on features including a length of the target utterance, time relation between the target utterance and a previous utterance, and a system state.

## Claims

### Claim 1

A dialogue system comprising:
an utterance detection/voice recognition unit configured to detect an utterance and recognizes a voice; and
an utterance feature extraction unit configured to extract features of an utterance,
wherein the utterance feature extraction unit determines whether or not a target utterance is directed to the dialogue system based on features including a length of the target utterance, time relation between the target utterance and a previous utterance, and a system state.

### Claim 2 (depends on 1)

The dialogue system according to claim 1, wherein the features further include features obtained from utterance content and voice recognition result.

### Claim 3 (depends on 1)

The dialogue system according to claim 1, wherein the utterance feature extraction unit performs determination by using a logistic function that uses normalized features as explanatory variables.

### Claim 4 (depends on 1)

The dialogue system according to claim 1, wherein the utterance detection/voice recognition unit is configured to merge utterances with a silent section shorter than or equal to a predetermined time period in between into one utterance.

### Claim 5

A determination method for a dialogue system including an utterance detection/voice recognition unit and an utterance feature extraction unit to determine whether or not an utterance is directed to the dialogue system, the determination method comprising the steps of:
detecting an utterance and recognizes a voice; and
determining whether or not a target utterance is directed to the dialogue system based on features including a length of the target utterance, time relation between the target utterance and a previous utterance, and a system state.

### Claim 6 (depends on 5)

The determination method according to claim 5, wherein the features further include features obtained from utterance content and voice recognition result.

### Claim 7 (depends on 5)

The determination method according to claim 5, wherein the step of determining includes determining by using a logistic function that uses normalized features as explanatory variables.

### Claim 8 (depends on 5)

The determination method according to claim 5, wherein the step of detecting includes merging utterances with a silent section shorter than or equal to a predetermined time period in between into one utterance.

### Claim 9

A dialogue system comprising:
means for detecting an utterance and recognizes a voice; and
means for extracting features of an utterance by determining whether or not a target utterance is directed to the dialogue system based on features including a length of the target utterance, time relation between the target utterance and a previous utterance, and a system state.

### Claim 10 (depends on 9)

The dialogue system according to claim 9, wherein the features further include features obtained from utterance content and voice recognition result.

### Claim 11 (depends on 9)

The dialogue system according to claim 9, wherein the means for extracting features of the utterance performs determination by using a logistic function that uses normalized features as explanatory variables.

### Claim 12 (depends on 9)

The dialogue system according to claims 9, wherein the means for detecting the utterance and recognizes the voice merges utterances with a silent section shorter than or equal to a predetermined time period in between into one utterance.