Skip to main navigation
Skip to search
Skip to main content
Princeton University Home
Help & FAQ
Link opens in a new tab
Search content at Princeton University
Home
Profiles
Research units
Facilities
Projects
Research output
Press/Media
One-shot learning of generative speech concepts
Brenden M. Lake
, Chia Ying Lee
, James R. Glass
, Joshua B. Tenenbaum
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
39
Link opens in a new tab
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'One-shot learning of generative speech concepts'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Hierarchical Bayesian Model
100%
One-shot Learning
100%
Learning Algorithm
50%
Computational Model
50%
Unsupervised Learning
50%
Ability to Learn
50%
Spoken Word
50%
Classification Task
50%
Phoneme
50%
New Words
50%
Model Representation
50%
Word Learning
50%
Human Abilities
50%
Word Meaning
50%
Acoustic Variability
50%
Generation Task
50%
One-shot Object Detection
50%
Speaker Identity
50%
Traditional Learning
50%
Word Search
50%
Japanese Word
50%
Good Performance
50%
Acoustic Model
50%
Compositional Representation
50%
One-Shot Generation
50%
Arts and Humanities
new words
100%
Phoneme
100%
Word meaning
100%
Phonological
100%
Spoken word
100%
Computer Simulation
100%
Speaker
100%
Computer Science
One-Shot Learning
100%
Learning Algorithm
50%
Unsupervised Learning
50%
Good Performance
50%
Computational Modeling
50%
Hierarchical Bayesian Model
50%
One Shot Classification
50%
Social Sciences
Bayesian
100%
Logopedics
100%
Phoneme
50%
Computer Simulation
50%
Acoustics
50%
Psychology
Learning Algorithm
100%
Phoneme
100%