Faculty Profiles - HARA Sunao

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Estimation method of user satisfaction based on dialog history N-gram for spoken dialog system

Hara Sunao, Kitaoka Norihide, Takeda Kazuya

IEICE technical report 109 ( 355 ) 77 - 82 2009.12

Estimation method of user satisfaction based on dialog history N-gram for spoken dialog system

HARA SUNAO, KITAOKA NORIHIDE, TAKEDA KAZUYA

2009 ( 14 ) 1 - 6 2009.12

User modeling for a satisfaction evaluation of a speech recognition system

HARA Sunao, KITAOKA Norihide, TAKEDA Kazuya

IEICE technical report 108 ( 338 ) 61 - 66 2008.12

Language：Japanese Publisher：The Institute of Electronics, Information and Communication Engineers

A mathematical model for predicting the user satisfaction of a speech dialogue systems is studied based on a field trial of a voice-navigated music retrieval system. The Subjective Word Accuracy (subjective-WA), of the user is introduced as a background psychometrics for the satisfaction. In the field test, subjective-WA is collected through questionnaires together with satisfactory indexes and various user profiles. First we show that the subjective-WA is more significant to the user satisfactory than (Objective) Word Accuracy (objective-WA ), which is calculated using the manually given transcriptions for the recorded dialogue. Then through top-down clustering of the joint distribution of subjective- and objective-WAs, we show that the user population can be grouped into several sub-groups in terms of sensitivity to recognition accuracy. The lower bound of the objective-WA for the given subjective-WA is also calculated from the joint distribution. Finally, a graphical model is build that predicts the user satisfactory index from user profiles and reduces the distribution uncertainty of user satisfaction by 13% of its variance.

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Evaluation of training effects by long-term use of a spoken dialogue interface

HARA Sunao, MIYAJIMA Chiyomi, ITOU Katsunobu, KITAOKA Norihide, TAKEDA Kazuya

70 ( 5 (3L-4) ) 5-341 - 5-342 2008.3

User modeling for a satisfaction evaluation of a speech recognition system

HARA Sunao, KITAOKA Norihide, TAKEDA Kazuya

IPSJ SIG Notes 2008 ( 123 ) 61 - 66 2008

Language：Japanese Publisher：Information Processing Society of Japan (IPSJ)

A mathematical model for predicting the user satisfaction of a speech dialogue systems is studied based on a field trial of a voice-navigated music retrieval system. The Subjective Word Accuracy (subjective-WA), of the user is introduced as a background psychometrics for the satisfaction. In the field test, subjective-WA is collected through questionnaires together with satisfactory indexes and various user profiles. First we show that the subjective-WA is more significant to the user satisfactory than (Objective) Word Accuracy (objective-WA), which is calculated using the manually given transcriptions for the recorded dialogue. Then through top-down clustering of the joint distribution of subjective- and objective-WAs, we show that the user population can be grouped into several sub-groups in terms of sensitivity to recognition accuracy. The lower bound of the objective-WA for the given subjective-WA is also calculated from the joint distribution. Finally, a graphical model is build that predicts the user satisfactory index from user profiles and reduces the distribution uncertainty of user satisfaction by 13% of its variance.

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Data Collection System for the Speech Utterances to an Automatic Speech Recognition System under Real Environments

HARA Sunao, MIYAJIMA Chiyomi, ITOU Katsunobu, TAKEDA Kazuya

The IEICE transactions on information and systems 90 ( 10 ) 2807 - 2816 2007.10

Constructing Acoustic Model for User-specific Song List in a Music Retrieval System

HARA Sunao, MIYAJIMA Chiyomi, KITAOKA Norihide, ITOU Katsunobu, TAKEDA Kazuya

IPSJ SIG Notes 2007 ( 75 ) 87 - 90 2007.7

Language：Japanese Publisher：Information Processing Society of Japan (IPSJ)

This paper discusses a training method for the HMM acoustic model that efficiently cover the given vocabulary in order to apply it to the speech interface of a music retrieval system. Customizing the acoustic model to each user is important in this application because 1) song titles and artist names contain many phonetic contexts that are rare in general, e.g. text reading corpora, and 2) the songs stored in a device are different among users. In particular, finding an optimal state-tying structure for the given vocabulary is a new problem in acoustic model training. We propose a method for building a task-dependent acoustic model that uses task-related synthetic utterances of more than one hundred speakers by means of HMM-based speech synthesis. From the experimental evaluation using field test data, we confirmed that the task-dependent acoustic model trained by the proposed method can reduce word error rate by 10% compared to a task-independent model.

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Evaluation of a music retrieval system using spoken dialogue

2007 47 - 50 2007

Speech data collection and evaluation by using a spoken dialogue system on general purpose PCs

HARA Sunao, MIYAJIMA Chiyomi, ITOU Katsunobu, TAKEDA Kazuya

IEICE technical report 106 ( 443 ) 167 - 172 2006.12

Language：Japanese Publisher：The Institute of Electronics, Information and Communication Engineers

We developed a user customizable speech dialogue system and a framework for automatic speech data collection in field experiments over the Internet. Users can download and install the speech dialogue system onto their own PCs and customize the system on a remote server for their own use. The speech data recorded on their PCs are transferred to the remote server through the Internet. The system enables us to collect speech data spoken by many users with wide variety of acoustic environments. During a two-month field test, we obtained 59 hours of recorded data including 5 hours and 41 minutes detected as speech, which corresponds to 11351 speech segments. The word correct rate for the 4716 speech utterances spoken to the dialogue system was 66.0%, which was improved to 70.5% after applying unsupervised MLLR for each user.

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Speech data collection and evaluation by using a spoken dialogue system on general purpose PCs

HARA Sunao, MIYAJIMA Chiyomi, ITOU Katsunobu, TAKEDA Kazuya

IPSJ SIG Notes 2006 ( 136 ) 167 - 172 2006

Language：Japanese Publisher：Information Processing Society of Japan (IPSJ)

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Evaluation of training effects of a spoken dialogue interface by long-term use

HARA Sunao, SHIROSE Ayako, MIYAJIMA Chiyomi, ITOU Katsunobu, TAKEDA Kazuya

2005 ( 1 ) 153 - 154 2005.3

Evaluation of training effects by long-term use of a spoken dialogue interface

HARA Sunao, SHIROSE Ayako, MIYAJIMA Chiyomi, ITOU Katsunobu, TAKEDA Kazuya

IPSJ SIG Notes 2005 ( 12 ) 17 - 22 2005

Language：Japanese Publisher：Information Processing Society of Japan (IPSJ)

We are developing a music retrieval system for in-car use based on a spoken dialogue interface. The system can retrieve and play musics that a user wants to listen to. We have previously conducted experiments where each subject uses the system for one hour. In the experiments, we have found that the speech recognition performance is improved as the subjects get used to the system, although the degree of training depends on the subject. In this paper, we conduct extended experiments where each subject uses the system over five one-hour sessions. Experimental results for twelve subjects show that the system achieves about 60% relative improvement in recognition performance at the fifth session compared to the first session.

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A music searching system by spoken dialogue

HARA Sunao, SHIROSE Ayako, MIYAJIMA Chiyomi, ITOU Katsunobu, TAKEDA Kazuya

IPSJ SIG Notes 2004 ( 103 ) 31 - 36 2004.2

Language：Japanese Publisher：Information Processing Society of Japan (IPSJ)

Recently, various applications equipped with speech recognition are developed. For example, it is used for the car-navigation systems with handsfree operation. There are some systems of music download via the Internet so a music search interface which is easy to use is expected. Then we create a music search system supposing use in the car was used by spoken dialogue. This system can search and play the music what the user want to listen. In this paper, we discuss a detail of the system and spoken dialogue recording with the s)'stem. Experimental results of 150 subjects with a prototype system show that the system could achieve about 80% word correct indoor environment and about 76% word correct in car environment.

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Preliminary study on the evaluation of a quality of spoken dialogue system in terms of user factors

SHIROSE Ayako, HARA Sunao, FUJIMURA Hiroshi, ITO Katsunobu, TAKEDA Kazuya, ITAKURA Fumitada

IEICE technical report. Natural language understanding and models of communication 103 ( 518 ) 7 - 12 2003.12

Language：Japanese Publisher：The Institute of Electronics, Information and Communication Engineers

This study aims to describe user problems and process of learning skill in using spoken dialogue systems and to reveal how these impact on the evaluation of the system usefulness. For this aim, we designed a new dialogue system and carried out a field test for a large number of subjects and asked them to evaluate the usefulness of the system. The results showed that the evaluation of the system did not correlate a recognition rate but user satisfaction and comprehension. This suggested that the spoken dialogue systems should be evaluated in terms of user factors. Controlled experiments are needed to discuss in detail.

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Preliminary study on the evaluation of a quality of spoken dialogue system in terms of user factors

Ayako Shirose, Sunao Hara, Hiroshi Fujimura, Katsunobu Ito, Kazuya Takeda, Fumitada Itakura

IPSJ SIG Technical Report 2003 ( 124 (2003-SLP-049) ) 253 - 258 2003.12

Language：Japanese Publishing type：Research paper, summary (national, other academic conference) Publisher：Information Processing Society of Japan (IPSJ)

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Implementation and evaluation of Julius/Julian on the PDA environment

Sunao Hara, Nobuo Kawaguchi, Kazuya Takeda, Fumitada Itakura

IPSJ SIG Technical Report 2003 ( 14 (2002-SLP-045) ) 131 - 136 2003.2

Language：Japanese Publishing type：Research paper, summary (national, other academic conference) Publisher：Information Processing Society of Japan (IPSJ)

In order to develop an open source platform of the speech recognition on Personal Digital Assistant (PDA), a general-purpose speech recognition engine Julius/Julian is ported to the PDA environment. From the experimental evaluations the following results are obtained. In die isolated word recognition, 90% accuracy is obtained by about 1.9 times of real time, that in about 73 times to a standard PC environment. In the connected digit recognition, 99% word accuracy is obtained using HMMs trained by sentences recorded by PDA.

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