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    <abstract>We present a visually grounded model of speech perception which projects spoken utterances and images to a joint semantic space. We use a multi-layer recurrent highway network to model the temporal nature of spoken speech, and show that it learns to extract both form and meaning-based linguistic knowledge from the input signal. We carry out an in-depth analysis of the representations used by different components of the trained model and show that encoding of semantic aspects tends to become richer as we go up the hierarchy of layers, whereas encoding of form-related aspects of the language input tends to initially increase and then plateau or decrease.</abstract>
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%0 Conference Proceedings
%T Representations of language in a model of visually grounded speech signal
%A Chrupała, Grzegorz
%A Gelderloos, Lieke
%A Alishahi, Afra
%Y Barzilay, Regina
%Y Kan, Min-Yen
%S Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
%D 2017
%8 July
%I Association for Computational Linguistics
%C Vancouver, Canada
%F chrupala-etal-2017-representations
%X We present a visually grounded model of speech perception which projects spoken utterances and images to a joint semantic space. We use a multi-layer recurrent highway network to model the temporal nature of spoken speech, and show that it learns to extract both form and meaning-based linguistic knowledge from the input signal. We carry out an in-depth analysis of the representations used by different components of the trained model and show that encoding of semantic aspects tends to become richer as we go up the hierarchy of layers, whereas encoding of form-related aspects of the language input tends to initially increase and then plateau or decrease.
%R 10.18653/v1/P17-1057
%U https://aclanthology.org/P17-1057
%U https://doi.org/10.18653/v1/P17-1057
%P 613-622

Markdown (Informal)

[Representations of language in a model of visually grounded speech signal](https://aclanthology.org/P17-1057) (Chrupała et al., ACL 2017)

• Representations of language in a model of visually grounded speech signal (Chrupała et al., ACL 2017)

ACL

• Grzegorz Chrupała, Lieke Gelderloos, and Afra Alishahi. 2017. Representations of language in a model of visually grounded speech signal. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 613–622, Vancouver, Canada. Association for Computational Linguistics.