An image-based approach provides an eficient way for visual speech synthesis. In an image-based visual speech synthesis system, a few lip images, namely visemes, are used for generating an arbitrary new sentence. Many approaches select visemes manually. In this papel; we propose a method for a system to automatically select visemes by minimizing the synthesis error The feasibility of the propos...

Several recent results show that the Lambek Calculus L and its close relative L1 are sound and complete under (possibly relativized) relational interpretation. This paper transfers these results to L3, the multimodal extension of the Lambek Calculus that was proposed in Moortgat (1996). Two simple relational interpretations of L3 are proposed and shown to be sound and complete. The completeness...

In this paper we explore several neural network architectures for the WMT 2017 multimodal translation sub-task on multilingual image caption generation. The goal of the task is to generate image captions in German, using a training corpus of images with captions in both English and German. We explore several models which attempt to generate captions for both languages, ignoring the English outp...

In this paper, we describe an implementation of multimodal interaction for speech interpretation to enable access to the Web. As per W3C recommendation on 10 February 2009 the latest version of, EMMA is used for translation of speech signals into a format interpreted by the application language, greatly simplifying the process of adding multiple modes to an application. EMMA is used for annotat...

In this paper we present an approach to multi-language image description bringing together insights from neural machine translation and neural image description. To create a description of an image for a given target language, our sequence generation models condition on feature vectors from the image, the description from the source language, and/or a multimodal vector computed over the image a...

Multiple candidate biomarkers for amyotrophic lateral sclerosis (ALS) have emerged across a range of platforms. Replication of results, however, has been absent in all but a few cases, and the range of control samples has been limited. If progress toward clinical translation is to continue, the specific biomarker needs of ALS, which differ from those of other neurodegenerative disorders, as wel...

The Spoken Language Systems Lab was formally created in 2001, bringing together the expertise of several research groups that shared a common goal: to bridge the gap between natural spoken language and the underlying semantic information, focusing on European Portuguese. This paper describes our efforts towards this long-term goal, starting by the two main areas of activity: semantic processing...

Modeling attention in neural multi-source sequence-to-sequence learning remains a relatively unexplored area, despite its usefulness in tasks that incorporate multiple source languages or modalities. We propose two novel approaches to combine the outputs of attention mechanisms over each source sequence, flat and hierarchical. We compare the proposed methods with existing techniques and present...

Imaging approaches that visualize molecular targets rather than anatomic structures aim to illuminate vital molecular and cellular aspects of atherosclerosis biology in vivo. Several such molecular imaging strategies stand ready for rapid clinical application. This review describes the growing role of in vivo optical molecular imaging in atherosclerosis and highlights its ability to visualize a...

This essay explores the multimodal translation of Scottish community oral cultures to cinema through a critical reflection upon aspects production and post-production feature-length documentary film, Mysterious Object. Guided by work cultural studies authors such as James Clifford Stuart Hall, alongside reference cinemas elsewhere in world (such Apichatpong Weerasethakul Thailand, indigenous fi...