TieLent

التفاصيل البيبلوغرافية
العنوان: TieLent
المؤلفون: Naoki Kimura, Jun Rekimoto, Kentaro Hayashi
المصدر: AVI
بيانات النشر: ACM, 2020.
سنة النشر: 2020
مصطلحات موضوعية: Artificial neural network, Casual, Computer science, Speech recognition, 02 engineering and technology, Interference (wave propagation), 01 natural sciences, Silent speech interface, Software portability, Face (geometry), 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, RGB color model, 020201 artificial intelligence & image processing, Set (psychology), 010301 acoustics
الوصف: With the increased use of smart speakers, silent speech interaction (SSI) is attracting attention. Unfortunately, traditional silent speech interaction methods require the addition of obtrusive sensors and devices around the user's face, making wearability and portability a challenge. Considering that most uses for smart speakers do not require many words, we suggest a more casual approach, TieLent, which can easily be worn between the neck and the chest. TieLent's RGB camera is set away from the user's face, presenting less interference with the user. Although TieLent's camera is not able to capture the whole mouth, when combined with our image-to-speech neural network model, it is able to generate the recognizable speech of 15 commands with an average accuracy of 94%.
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::0b2973bb1258c5be48de90ecd2a9e385
https://doi.org/10.1145/3399715.3399852
رقم الأكسشن: edsair.doi...........0b2973bb1258c5be48de90ecd2a9e385
قاعدة البيانات: OpenAIRE