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Talking Points: The Role of Computer Voice in the Future of Speech-Based Human-Computer Interaction


Published: June 9, 2021
In the modern day, our interactions with voice-based devices and services continue to increase. In this light, researchers at Tokyo Institute of Technology and RIKEN, Japan, have performed a meta-synthesis to understand how we perceive and interact with the voice (and the body) of various machines. Their findings have generated insights into human preferences, and can be used by engineers and designers to develop future vocal technologies.
As humans, we primarily communicate vocally and aurally. We convey not just linguistic information, but also the complexities of our emotional states and personalities. Aspects of our voice such as tone, rhythm, and pitch are vital to the way we are perceived. In other words, the way we say things matters. ....

Katie Seaborn , Dial Inc , Tokyo Institute Of Technology Tech , Tokyo Institute , Tokyo Tech , Advanced Intelligence Project , Associate Professor Katie Seaborn , Visiting Researcher , Postdoctoral Researcher , Talking Points The Role Of Computer Voice In Future Speech Based Human Interaction , Tokyo Institute Of Technology , University Of Science And Technology , National Univer , டயல் செய்யுங்கள் இன்க் , டோக்கியோ நிறுவனம் ஆஃப் தொழில்நுட்பம் தொழில்நுட்பம் , டோக்கியோ நிறுவனம் , டோக்கியோ தொழில்நுட்பம் , வருகை ஆராய்ச்சியாளர் , போஸ்ட்‌டாக்டொரல் ஆராய்ச்சியாளர் , டோக்கியோ நிறுவனம் ஆஃப் தொழில்நுட்பம் , பல்கலைக்கழகம் ஆஃப் அறிவியல் மற்றும் தொழில்நுட்பம் , தேசிய உனிவேர் ,

Scientists find molecular patterns that may help identify extraterrestrial life


Published: June 1, 2021
Scientists have begun the search for extraterrestrial life in the Solar System in earnest, but such life may be subtly or profoundly different from Earth-life, and methods based on detecting particular molecules as biosignatures may not apply to life with a different evolutionary history. A new study by a joint Japan/US-based team, led by researchers at the Earth-Life Science Institute (ELSI) at the Tokyo Institute of Technology, has developed a machine learning technique which assesses complex organic mixtures using mass spectrometry to reliably classify them as biological or abiological.
Figure 1. It is not life as we know or understand it. ....

Nicholas Guttenberg , Tomohiro Mochizuki , Chuan Chen , Jim Cleaves , Us National Maglab , Life Science Institute , National Maglab , National High Magnetic Field Laboratory , Tokyo Institute Of Technology , Us National Science Foundation , Star Trek , Solar System , Earth Life Science Institute , Tokyo Institute , Science Foundation , Scientists Find Molecular Patterns That May Help Identify Extraterrestrial Life , Tokyo Tech , University Of Science And Technology , National University , நிக்கோலஸ் குட்டன்பெர்க் , ஹுவான் சென் , ஜிம் கிளீவ்ஸ் , வாழ்க்கை அறிவியல் நிறுவனம் , தேசிய உயர் காந்த புலம் ஆய்வகம் , டோக்கியோ நிறுவனம் ஆஃப் தொழில்நுட்பம் , எங்களுக்கு தேசிய அறிவியல் அடித்தளம் ,