Kazunori Komatani

Kazunori Komatani

Osaka University

H-index: 33

Asia-Japan

About Kazunori Komatani

Kazunori Komatani, With an exceptional h-index of 33 and a recent h-index of 15 (since 2020), a distinguished researcher at Osaka University, specializes in the field of Spoken Dialogue Systems, Spoken Language Processing, User Modeling.

His recent articles reflect a diverse array of research interests and contributions to the field:

Evaluating Dialogue Systems from the System Owners’ Perspectives

Analyzing Differences in Subjective Annotations by Participants and Third-party Annotators in Multimodal Dialogue Corpus

Speech Emotion Recognition using Threshold Fusion for Enhancing Audio Sensitivity

Joint separation and localization of moving sound sources based on neural full-rank spatial covariance analysis

Knowledge Graph Augmentation with Entity Identification for Improving Knowledge Graph Completion Performance

Analysis of Role of Multimodal Information and Physiological Signals in Self-Reported and Third-Party Sentiment Estimation

Out-of-Vocabulary Word Detection in Spoken Dialogues Based on Joint Decoding with User Response Patterns

Link Prediction Based on Large Language Model and Knowledge Graph Retrieval under Open-World and Resource-Restricted Environment

Kazunori Komatani Information

University

Position

Professor

Citations(all)

4327

Citations(since 2020)

1103

Cited By

3704

hIndex(all)

33

hIndex(since 2020)

15

i10Index(all)

117

i10Index(since 2020)

29

Email

University Profile Page

Osaka University

Google Scholar

View Google Scholar Profile

Kazunori Komatani Skills & Research Interests

Spoken Dialogue Systems

Spoken Language Processing

User Modeling

Top articles of Kazunori Komatani

Title

Journal

Author(s)

Publication Date

Evaluating Dialogue Systems from the System Owners’ Perspectives

(No Title)

Mikio Nakano

Hisahiro Mukai

Yoichi Matsuyama

Kazunori Komatani

2024/3/4

Analyzing Differences in Subjective Annotations by Participants and Third-party Annotators in Multimodal Dialogue Corpus

Kazunori Komatani

Ryu Takeda

Shogo Okada

2023/9

Speech Emotion Recognition using Threshold Fusion for Enhancing Audio Sensitivity

Zhaojie Luo

Stefan Christiansson

Bence Ladóczki

Kazunori Komatani

2023/12/6

Joint separation and localization of moving sound sources based on neural full-rank spatial covariance analysis

IEEE Signal Processing Letters

Hokuto Munakata

Yoshiaki Bando

Ryu Takeda

Kazunori Komatani

Masaki Onishi

2023/4/5

Knowledge Graph Augmentation with Entity Identification for Improving Knowledge Graph Completion Performance

Shuichi Chikatsuji

Kenta Yamamoto

Ryu Takeda

Kazunori Komatani

2023/11/10

Analysis of Role of Multimodal Information and Physiological Signals in Self-Reported and Third-Party Sentiment Estimation

IEICE Technical Report; IEICE Tech. Rep.

Shun Katada

Shogo Okada

Kazunori Komatani

2023/1/14

Out-of-Vocabulary Word Detection in Spoken Dialogues Based on Joint Decoding with User Response Patterns

Miki Oshio

Hokuto Munakata

Ryu Takeda

Kazunori Komatani

2023/10/31

Link Prediction Based on Large Language Model and Knowledge Graph Retrieval under Open-World and Resource-Restricted Environment

Ryu Takeda

Hokuto Munakata

Kazunori Komatani

2023

Multimodal Emotion Recognition based on 2D Kernel Density Estimation for Multiple Labels Fusion

Zhaojie Luo

Kazunori Komatani

2023/10/31

Flexible Evidence Model to Reduce Uncertainty Mismatch Between Speech Enhancement and ASR Based on Encoder-Decoder Architecture

Ryu Takeda

Yui Sudo

Kazunori Komatani

2023/10/31

User-adaptive Tourist Information Dialogue System with Yes/No Classifier and Sentiment Estimator

arXiv preprint arXiv:2312.13787

Ryo Yanagimoto

Yunosuke Kubo

Miki Oshio

Mikio Nakano

Kenta Yamamoto

...

2023/12/21

Design guidelines for developing systems for dialogue system competitions

Kazunori Komatani

Ryu Takeda

Keisuke Nakashima

Mikio Nakano

2022/11/1

Graph-combined Coreference Resolution Methods on Conversational Machine Reading Comprehension with Pre-trained Language Model

Zhaodong Wang

Kazunori Komatani

2022/5

Team OS's system for dialogue robot competition 2022

arXiv preprint arXiv:2210.09928

Yuki Kubo

Ryo Yanagimoto

Hayato Futase

Mikio Nakano

Zhaojie Luo

...

2022/10/18

Effects of physiological signals in different types of multimodal sentiment estimation

IEEE Transactions on Affective Computing

Shun Katada

Shogo Okada

Kazunori Komatani

2022/3/3

User impressions of system questions to acquire lexical knowledge during dialogues

Dialogue & Discourse

Kazunori Komatani

Kohei Ono

Ryu Takeda

Eric Nichols

Mikio Nakano

2022/6/22

Empirical Sampling from Latent Utterance-wise Evidence Model for Missing Data ASR based on Neural Encoder-Decoder Model.

Ryu Takeda

Yui Sudo

Kazuhiro Nakadai

Kazunori Komatani

2022

Lexical Acquisition during Dialogues through Implicit Confirmation

Dialogue & Discourse

Kazunori Komatani

Kohei Ono

Ryu Takeda

Eric Nichols

Mikio Nakano

2022/6/21

Training Data Generation with DOA-based Selecting and Remixing for Unsupervised Training of Deep Separation Models.

Hokuto Munakata

Ryu Takeda

Kazunori Komatani

2022

Collection and analysis of travel agency task dialogues with age-diverse speakers

Michimasa Inaba

Yuya Chiba

Ryuichiro Higashinaka

Kazunori Komatani

Yusuke Miyao

...

2022/6

See List of Professors in Kazunori Komatani University(Osaka University)

Co-Authors

H-index: 52
Alexander Rudnicky

Alexander Rudnicky

Carnegie Mellon University

H-index: 49
Tatsuya Kawahara

Tatsuya Kawahara

Kyoto University

H-index: 41
Tetsuya Ogata

Tetsuya Ogata

Waseda University

H-index: 33
Kazuyoshi Yoshii

Kazuyoshi Yoshii

Kyoto University

H-index: 17
Shogo Okada

Shogo Okada

Japan Advanced Institute of Science and Technology

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