LAB LOGA page on LabLog, a review site (not the lab's official page)
Kobayashi Lab
Machine-translated · View original
A lab that scientifically studies communication between humans and machines through speech recognition and dialogue robots.
AboutAbout the lab
Communication, studied scientifically
Kobayashi Lab studies communication between humans and machines using speech and image processing.
The lab builds speech recognition that is robust to voice variation caused by speaking environments and speaking styles, as well as a system that collects and makes use of language resources scattered across the web.
It also develops dialogue robots that can converse naturally with people.
Key terms
- Speech recognition
- Technology by which a computer listens to spoken voice and converts it into text or meaning
- Probabilistic model
- A computational framework that expresses how likely events are in mathematical form and selects the best-fitting answer
- Turn-taking
- Alternating who speaks in a conversation. In dialogue between humans, this happens unconsciously
NewsLab news
Professor Kobayashi was elected a Fellow of the Association for Natural Language Processing
A doctoral student received the IPSJ Yamashita SIG Research Award from the Information Processing Society of Japan
A doctoral student and a master's student received the Best Paper Award at SIGDIAL 2024
A Lecturer at the Research Institute received the Waseda Research Award
A master's student received the Young Researcher Excellence Award at the JSAI Symposium on Dialogue Systems
ResearchResearch themes
Kobayashi Lab studies mechanisms that let humans and machines interact naturally by picking up human intent from information such as speech and images. It works on dialogue robots that can converse naturally with people and on noise-robust speech recognition.
*Illustrative imageNoise-Robust Speech Recognition
To build speech recognition systems that are robust to variation in speech caused by speaking environments and speaking styles, the lab studies the probabilistic models and search algorithms used for recognition.
*Illustrative imageSystem for Collecting Language Resources
To reduce the effort required to define the vocabulary needed for speech recognition, the lab develops a system that automatically collects language resources scattered across the web and improves their quality.
*Illustrative imageA Robot That Converses Naturally
ROBISUKE is a robot designed to converse naturally with people. The lab worked on realizing turn-taking, which occurs naturally in dialogue between humans.
MembersFaculty
The members of Kobayashi Lab consist of faculty, visiting researchers, administrative staff, and doctoral, master's, and undergraduate students.As of 2026
- ProfessorTetsunori Kobayashi
VoicesStudent voices
Ratings and reviews reflect the experiences of individual current or former students, not the lab's official views. Whether a lab has reviews, or how many, says nothing about the lab itself.
Students who take part in an interview may receive a thank-you gift worth ¥1,000, regardless of what they say.
Student ratings (0 students)
--
--
--
--
--
--
Student voices answer questions like these
- What's great about this lab?
- What did you learn after joining?
- What's the vibe, and what is the professor like?
- Who is this lab for?
- Where do graduates go?
Your experience can help younger students choose their lab. Your name won't be shown.
Write a lab reviewAnonymous · Your draft is saved if you stopRelatedLabs similar to Kobayashi Lab
Ogawa LabSchool of Fundamental Science and Engineering, Department of Communications and Computer EngineeringSpoken language processing, acoustic signal processing, patt…
Kawahara LabSchool of Fundamental Science and Engineering, Department of Communications and Computer EngineeringNatural language processing, Web information processing, art…
Watanabe LabSchool of Fundamental Science and Engineering, Department of Communications and Computer EngineeringVideo coding and video recognition
Katto LabSchool of Fundamental Science and Engineering, Department of Communications and Computer EngineeringImage processing; information networksThe information on this page is compiled by the LabLog team from the lab's public information and interviews. For corrections or removal requests, please contact LabLog, not the lab.
Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Spectrogram of Papuan Malay sentence de bicara keras” Emflazie / CC0 (cropped)
- Noise-Robust Speech Recognition: “Barn Owl ( )” Andy Morffew / CC BY 2.0 (cropped)
- System for Collecting Language Resources: “Acorn woodpecker on granary tree-7270” Frank Schulenburg / CC BY-SA 4.0 (cropped)
- A Robot That Converses Naturally: “Ars Electronica 2008 Kotaro” Manfred Werner - Tsui / CC BY-SA 3.0 (cropped)
- Related lab (Ogawa Lab): “Spectrogram - It Rains a Lot in Portland” Aaron Parecki / CC BY 2.0 (cropped)
- Related lab (Kawahara Lab): “Kanji (Unsplash)” Niketh Vellanki / CC0 (cropped)
- Related lab (Watanabe Lab): “Ouster OS1-64 lidar point cloud of intersection of Folsom and Dore St, San Francisco” Daniel L. Lu / CC BY 4.0 (cropped)
- Related lab (Katto Lab): “Studio A broadcast area ( )” Atomic Taco from Seattle, WA, USA / CC BY-SA 2.0 (cropped)
About LabLog
LabLog is a lab review app for students only. Student members at each university interview students in labs and publish what they say. Student voices can only be read by students who sign up with a university email address. Operated by bestiee Inc.
Learn more about LabLog ↗Search engines and AI may reference the basic lab info and rating summaries on this page and the description of LabLog. Student voices are for student members only. Automated collection by programs (scraping, or input to or training of AI) is prohibited under Article 8 of the Terms of Service. If you need data for research or analysis, please contact us.