Neural techniques for modeling visually grounded speech
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018.
Main Author: | Leidal, Kenneth (Kenneth Knute) |
---|---|
Other Authors: | James Glass and David Harwath. |
Format: | Thesis |
Language: | eng |
Published: |
Massachusetts Institute of Technology
2018
|
Subjects: | |
Online Access: | http://hdl.handle.net/1721.1/119562 |
Similar Items
-
Towards multilingual lexicon discovery from visually grounded speech
by: Azuh, Emmanuel Mensah
Published: (2020) -
Parts-based models and local features for automatic speech recognition
by: Schutte, Kenneth Thomas, 1979-
Published: (2010) -
Understanding sketch-and-speech descriptions of machines
by: Scott, Jeremy (Jeremy Kenneth)
Published: (2013) -
Result comparison of model validation techniques on audio-visual speech recognition
by: Thum, Wei Seong, et al.
Published: (2017) -
Statistical modeling and analysis of audio-visual association in speech
by: Siracusa, Michael Richard, 1980-
Published: (2006)