1 code implementation • LREC 2022 • Naoki Kimura, Zixiong Su, Takaaki Saeki, Jun Rekimoto
Although neural end-to-end models are successfully updating the state-of-the-art technology in the field of automatic speech recognition, SSR research based on ultrasound tongue imaging has still not evolved past cascaded DNN-HMM models due to the absence of a large dataset.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
no code implementations • 6 May 2024 • Takekazu Kitagishi, Yuichi Hiroi, Yuna Watanabe, Yuta Itoh, Jun Rekimoto
In addition, the existing actuation device can only present a limited number of known patterns and cannot transmit unknown tactile sensations of textiles.
no code implementations • 26 Mar 2024 • Kazuki Kawamura, Jun Rekimoto
Therefore, there is a risk of missing important information when both the teacher's speech and visual information on the blackboard or slides are important, such as in a lecture video.
no code implementations • 5 Mar 2024 • Kazuki Kawamura, Jun Rekimoto
The system uses the speech recognizer score as a proxy for how well a human can hear a certain unit of speech and maximizes the speech playback speed to the extent that a human can hear.
no code implementations • 3 Mar 2023 • Naoki Kimura, Michinari Kono, Jun Rekimoto
To address these limitations, a system to detect a user's unvoiced utterance is proposed.
1 code implementation • 12 Feb 2023 • Zixiong Su, Shitao Fang, Jun Rekimoto
Silent speech interface is a promising technology that enables private communications in natural language.
no code implementations • 8 Dec 2022 • Kazuki Kawamura, Jun Rekimoto
The proposed system uses deep learning--based speech processing to display the pronunciation score of the learner's speech and the difference/distance between the learner's and a group of models' pronunciation in an intuitively visual manner.
no code implementations • 22 Aug 2022 • Jun Rekimoto
To address these problems, this study proposes a speech interaction method called DualVoice, by which commands can be input in a whispered voice and letters in a normal voice.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
no code implementations • 21 Oct 2019 • Jun Rekimoto
This article is submitted and accepted as ACM UIST 2019 Visions.
1 code implementation • 12 Feb 2019 • Kohei Toyoda, Michinari Kono, Jun Rekimoto
One of the commonly used DNNs is human pose estimation.
1 code implementation • 8 Feb 2019 • Michinari Kono, Jun Rekimoto
For the electric signals applied to the human body, various types of waveforms have been considered and tested.
Human-Computer Interaction