Recorded:
Feb 16, 2017
Uploaded:
February 16, 2017
Part of
Computational Tutorials
Speaker(s):
Evan Remington
Evan Remington, MIT
An introduction to the OpenMind computing resources, and best practices when using it.
More information can be found here - https://stellar-mit-edu.ezproxyberklee.flo.org/S/project/bcs-comp-tut/index.html
Recorded:
Feb 10, 2017
Uploaded:
February 10, 2017
Part of
All Captioned Videos, CBMM Special Seminars
Speaker(s):
Brian Subirana, Bror Saxberg
Dr. Brian Subirana & Dr. Bror Saxberg
In this talk, Brian Subirana will first review research conducted over the last 120 years since Ebbinghaus's seminal work in 1885 on the forgetting curve. This review (joint work in progress with Aikaterini...
Recorded:
Feb 3, 2017
Uploaded:
February 10, 2017
Part of
Speech Representation, Perception and Recognition
Speaker(s):
Brian Kingsbury
Brian Kingsbury, IBM
Abstract: A key to achieving good automatic speech recognition performance has been the availability of vast amounts of labeled and unlabeled speech and text data that can be used to train speech models; however, there are...
Recorded:
Feb 3, 2017
Uploaded:
February 10, 2017
Part of
Speech Representation, Perception and Recognition
Speaker(s):
Jim Glass
Jim Glass, MIT
Abstract: Despite continuous advances over many decades, automatic speech recognition remains fundamentally a supervised learning scenario that requires large quantities of annotated training data to achieve good performance. This...
Recorded:
Feb 3, 2017
Uploaded:
February 10, 2017
Part of
Speech Representation, Perception and Recognition
Speaker(s):
Matt Davis
Matt Davis, MRC Cognition and Brain Sciences Unit
Recorded:
Feb 3, 2017
Uploaded:
February 10, 2017
Part of
Speech Representation, Perception and Recognition
Speaker(s):
Yoshua Bengio
Yoshua Bengio, U. Montreal
Recorded:
Feb 3, 2017
Uploaded:
February 10, 2017
Part of
Speech Representation, Perception and Recognition
Speaker(s):
Heiga Zen
Heiga Zen, Google
Abstract: Recent progress in generative modeling has improved the naturalness of synthesized speech significantly. In this talk I will summarize these generative model-based approaches for speech synthesis and describe possible...
Recorded:
Feb 2, 2017
Uploaded:
February 10, 2017
Part of
Speech Representation, Perception and Recognition
CBMM Speaker(s):
Georgios Evangelopoulos
Georgios Evangelopoulos, (CBMM, MIT)
Recorded:
Feb 2, 2017
Uploaded:
February 8, 2017
Part of
Speech Representation, Perception and Recognition
Speaker(s):
Bob McMurray
Bob McMurray, U. Iowa
Abstract: One of the most challenging aspects of speech perception is the rampant variability in the signal. One consequence of this variability is that purely bottom up approaches to categorizing phonemes have not consistently...
Recorded:
Feb 2, 2017
Uploaded:
February 8, 2017
Part of
Speech Representation, Perception and Recognition
Speaker(s):
Karen Livescu
Karen Livescu, TTI
Abstract: For a number of speech tasks, it can be useful to represent speech segments of arbitrary length by fixed-dimensional vectors, or embeddings. In particular, vectors representing word segments -- acoustic word embeddings...