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Yumi Wakita
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2020 – today
- 2024
- [c27]Miyu Namba, Yumi Wakita:
Simple Wearable Vibration Device for Music Appreciation. HCI (5) 2024: 79-88 - [c26]Atsuteru Iida, Hikaru Nishida, Yumi Wakita:
Estimating Reliability of Speech Recognition Results Using Recognition Results Change Degree When Minute Changes to Speech Waveform. HCI (52) 2024: 190-201 - 2023
- [c25]Kanae Fujii, Yumi Wakita:
Relationship Between Impression Change Degree of Music by Adding Video and Cumulative Contribution Ratio of Principal Component Analysis. GCCE 2023: 1084-1086 - [c24]Nana Kasajima, Yumi Wakita:
Possibility of Relaxation Level Measurement During Music Listening Using Reverberation Envelope. HCI (4) 2023: 19-29 - [c23]Hikaru Nishida, Yotaro Iida, Yumi Wakita, Yoshihisa Nakatoh:
Misrecognized Utterance Identification in Support Systems for Daily Human-to-Human Conversations. HCI (41) 2023: 126-134 - 2022
- [c22]Hikaru Nishida, Yotaro Iida, Yumi Wakita:
Age Estimation Function Using End-of Sentence Expression for Conversation Support System Based on Associative Words Board. DCAI (1) 2022: 240-248 - [c21]Tsuneyoshi Tomoki, Yumi Wakita:
Development of practice support system for violin bowing. GCCE 2022: 9-12 - [c20]Tomoyuki Takata, Yumi Wakita:
Estimation of Online Lecture Quality Using Fundamental Frequency Characteristics ExTracted from Student Utterances. HCI (27) 2022: 304-312 - 2021
- [c19]Ose Makiko, Yumi Wakita:
Impression and acoustic characteristics evaluation of food-related sounds for digital signage in the food markets. GCCE 2021: 376-378 - [c18]Youtaro Iida, Yumi Wakita:
Topic-Shift Characteristics of Japanese Casual Conversations Between Elderlies and Between Youths. HCI (26) 2021: 418-427 - 2020
- [c17]Natsumi Kana, Yumi Wakita, Chitose Matsuda:
Age-dependent degradation estimation focusing on dynamic features of head motion in daily conversation. GCCE 2020: 373-375 - [c16]Naoto Kosaka, Yumi Wakita:
Identification of Target Speech Utterances from Real Public Conversation. HCI (19) 2020: 52-63 - [c15]Natsumi Kana, Yumi Wakita, Yoshihisa Nakatoh:
Effectiveness of dynamic image features for estimating daily conversation atmosphere. IICAIET 2020: 1-4 - [c14]Naoto Kosaka, Yumi Wakita:
Evaluating target utterance identification method using practical free conversation. IICAIET 2020: 1-5
2010 – 2019
- 2019
- [c13]Naoto Kosaka, Kohei Kido, Yumi Wakita:
A Simple Identification Method for Differentiating Between Ambient and Target Speech. GCCE 2019: 836-839 - [c12]Natsumi Kana, Yumi Wakita, Yoshihisa Nakatoh:
Estimating Age-Dependent Degradation Using Nonverbal Feature Analysis of Daily Conversation. HCI (17) 2019: 222-231 - 2018
- [c11]Yumi Wakita, Shinya Kondo, Yoshihisa Nakatoh:
Potential for Estimating Age-Dependent Degradation using the Acoustic Characteristics of Daily Conversation. GCCE 2018: 331-333 - [c10]Natsumi Kana, Yuya Saitoh, Yumi Wakita, Yoshihisa Nakatoh:
Changes in fundamental frequency and gesture of response corresponding to the understanding level of partner's talk. IICAIET 2018: 1-4 - 2017
- [c9]Yumi Wakita, Shunpei Matsumoto:
F0 Feature Analysis of Communication Between Elderly Individuals for Health Assessment. HCI (17) 2017: 195-205 - 2016
- [c8]Yumi Wakita, Yuta Yoshida, Mayu Nakamura:
Influence of Personal Characteristics on Nonverbal Information for Estimating Communication Smoothness. HCI (3) 2016: 148-157 - 2015
- [j2]Anisur Rahman
, Naoshi Kondo, Yuichi Ogawa
, Tetsuhito Suzuki, Yuri Shirataki, Yumi Wakita:
Prediction of K value for fish flesh based on ultraviolet-visible spectroscopy of fish eye fluid using partial least squares regression. Comput. Electron. Agric. 117: 149-153 (2015)
2000 – 2009
- 2004
- [c7]Kenji Mizutani, Tomohiro Konuma, Mitsuru Endo, Taro Nambu, Yumi Wakita:
Evaluation of a speech translation system for travel conversation installed in PDA. CCNC 2004: 465-470 - 2001
- [c6]Kenji Matsui, Yumi Wakita, Tomohiro Konuma, Kenji Mizutani, Mitsuru Endo, Masashi Murata:
An experimental multilingual speech translation system. PUI 2001: 3:1-3:4 - 2000
- [c5]Yumi Wakita, Kenji Matsui, Yoshinori Sagisaka:
Fine keyword clustering using a thesaurus and example sentences for speech translation. INTERSPEECH 2000: 390-393 - [c4]Chengqing Zong, Yumi Wakita, Bo Xu, Zhenbiao Chen, Kenji Matsui:
Japanese-to-Chinese spoken language translation based on the simple expression. INTERSPEECH 2000: 418-421
1990 – 1999
- 1999
- [j1]Yumi Wakita, Harald Singer, Yoshinori Sagisaka:
Multiple pronunciation dictionary using HMM-state confusion characteristics. Comput. Speech Lang. 13(2): 143-153 (1999) - 1997
- [c3]Yumi Wakita, Harald Singer, Yoshinori Sagisaka:
Speech recognition using HMM-state confusion characteristics. EUROSPEECH 1997: 7-10 - 1996
- [c2]Yumi Wakita, Jun Kawai, Hitoshi Iida:
An evaluation of statistical language modeling for speech recognition using a mixed category of both words and parts-of-speech. ICSLP 1996: 530-533 - 1994
- [c1]Yumi Wakita, Eiichi Tsuboka:
State duration constraint using syllable duration for speech recognition. ICSLP 1994: 195-198
Coauthor Index
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last updated on 2024-06-13 20:59 CEST by the dblp team
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