Search Results for author: Jun Rekimoto

Found 11 papers, 4 papers with code

SSR7000: A Synchronized Corpus of Ultrasound Tongue Imaging for End-to-End Silent Speech Recognition

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

Telextiles: End-to-end Remote Transmission of Fabric Tactile Sensation

no code implementations6 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.

Self-Supervised Learning

FastPerson: Enhancing Video Learning through Effective Video Summarization that Preserves Linguistic and Visual Contexts

no code implementations26 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.

Video Summarization

AIx Speed: Playback Speed Optimization Using Listening Comprehension of Speech Recognition Models

no code implementations5 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.

speech-recognition Speech Recognition

LipLearner: Customizable Silent Speech Interactions on Mobile Devices

1 code implementation12 Feb 2023 Zixiong Su, Shitao Fang, Jun Rekimoto

Silent speech interface is a promising technology that enables private communications in natural language.

Contrastive Learning Incremental Learning +2

DDSupport: Language Learning Support System that Displays Differences and Distances from Model Speech

no code implementations8 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.

DualVoice: Speech Interaction that Discriminates between Normal and Whispered Voice Input

no code implementations22 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

Homo Cyberneticus: The Era of Human-AI Integration

no code implementations21 Oct 2019 Jun Rekimoto

This article is submitted and accepted as ACM UIST 2019 Visions.

wavEMS: Improving Signal Variation Freedom of Electrical Muscle Stimulation

1 code implementation8 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

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