◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

William N. Havard

Université Grenoble Alpes

6 papers hereh-index 5156 citations10 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4
  • middle author2

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CL6
affiliations
  • Université Grenoble Alpes
  • LIG
  • LIDILEM

identity via Semantic Scholar / OpenAlex

activity
20172020
most citedSPEECH-COCO: 600k Visually Grounded Spoken Captions Aligned to MSCOCO Data Set

24 citations · 29 across the 6 of their papers we have counts for

collaborators
Showing 2019Show all

3 papers · 1 filter

cs.CL2019

Word Recognition, Competition, and Activation in a Model of Visually Grounded Speech

William N. Havard, Jean-Pierre Chevrot, Laurent Besacier

In this paper, we study how word-like units are represented and activated in a recurrent neural model of visually grounded speech. The model used in our experiments is trained to p…

cs.CL2019

MaSS: A Large and Clean Multilingual Corpus of Sentence-aligned Spoken Utterances Extracted from the Bible

Marcely Zanon Boito, William N. Havard, Mahault Garnerin +2

The CMU Wilderness Multilingual Speech Dataset (Black, 2019) is a newly published multilingual speech dataset based on recorded readings of the New Testament. It provides data to b…

cs.CL2019

Models of Visually Grounded Speech Signal Pay Attention To Nouns: a Bilingual Experiment on English and Japanese

William N. Havard, Jean-Pierre Chevrot, Laurent Besacier

We investigate the behaviour of attention in neural models of visually grounded speech trained on two languages: English and Japanese. Experimental results show that attention focu…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.