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Sound-Word2Vec: Learning Word Representations Grounded in Sounds

Sound-Word2Vec: Learning Word Representations Grounded in Sounds

6 March 2017
Ashwin K. Vijayakumar
Ramakrishna Vedantam
Devi Parikh
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Papers citing "Sound-Word2Vec: Learning Word Representations Grounded in Sounds"

5 / 5 papers shown
Title
Using Pause Information for More Accurate Entity Recognition
Using Pause Information for More Accurate Entity Recognition
Sahas Dendukuri
Pooja Chitkara
Joel Ruben Antony Moniz
Xiao Yang
M. Tsagkias
S. Pulman
21
5
0
27 Sep 2021
Theoretical foundations and limits of word embeddings: what types of
  meaning can they capture?
Theoretical foundations and limits of word embeddings: what types of meaning can they capture?
Alina Arseniev-Koehler
36
19
0
22 Jul 2021
Impressions2Font: Generating Fonts by Specifying Impressions
Impressions2Font: Generating Fonts by Specifying Impressions
Seiya Matsuda
Akisato Kimura
S. Uchida
VLM
29
7
0
18 Mar 2021
Word2vec to behavior: morphology facilitates the grounding of language
  in machines
Word2vec to behavior: morphology facilitates the grounding of language in machines
David Matthews
Sam Kriegman
C. Cappelle
Josh Bongard
LM&Ro
19
6
0
03 Aug 2019
Visually grounded learning of keyword prediction from untranscribed
  speech
Visually grounded learning of keyword prediction from untranscribed speech
Herman Kamper
Shane Settle
Gregory Shakhnarovich
Karen Livescu
19
63
0
23 Mar 2017
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