Special Interest Group on Speech and Language Processing for Assistive Technologies
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2012
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Proceedings of the 1st Workshop on Speech and Multimodal Interaction in Assistive Environments
- W12-35 [bib]: Entire Volume
- W12-3500 [bib]: Front Matter
- W12-3501 [bib]: Stefan Goetze; Sven Fischer; Niko Moritz; Jens-E. Appell; Frank Wallhoff
Multimodal Human-Machine Interaction for Service Robots in Home-Care Environments
- W12-3502 [bib]: Kiran Pala; Ram Naresh; Sachin Joshi; Suryakanth V Ganagshetty
Integration of Multimodal Interaction as Assistance in Virtual Environments
- W12-3503 [bib]: Ramin Yaghoubzadeh; Stefan Kopp
Toward a Virtual Assistant for Vulnerable Users: Designing Careful Interaction
- W12-3504 [bib]: Dimitra Anastasiou; Cui Jian; Desislava Zhekova
Speech and Gesture Interaction in an Ambient Assisted Living Lab
- W12-3505 [bib]: Benjamin Cauchi; Stefan Goetze; Simon Doclo
Reduction of Non-stationary Noise for a Robotic Living Assistant using Sparse Non-negative Matrix Factorization
- W12-3506 [bib]: Janneke van de Loo; Jort F. Gemmeke; Guy De Pauw; Joris Driesen; Hugo Van hamme; Walter Daelemans
Towards a Self-Learning Assistive Vocal Interface: Vocabulary and Grammar Learning
- W12-3507 [bib]: Sankar Mukherjee; Shyamal Kumar Das Mandal
A Bengali Speech Synthesizer on Android OS
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Proceedings of the Third Workshop on Speech and Language Processing for Assistive Technologies
- W12-29 [bib]: Entire Volume
- W12-2900 [bib]: Front Matter
- W12-2901 [bib]: Peter Ljunglöf; Sandra Derbring; Maria Olsson
A free and open-source tool that reads movie subtitles aloud
- W12-2902 [bib]: Eva Szekely; Zeeshan Ahmed; Joao P. Cabral; Julie Carson-Berndsen
WinkTalk: a demonstration of a multimodal speech synthesis platform linking facial expressions to expressive synthetic voices
- W12-2903 [bib]: Margaret Mitchell; Richard Sproat
Discourse-Based Modeling for AAC
- W12-2904 [bib]: Ha Trinh; Annalu Waller; Keith Vertanen; Per Ola Kristensson; Vicki L. Hanson
Applying Prediction Techniques to Phoneme-based AAC Systems
- W12-2905 [bib]: Karl Wiegand; Rupal Patel
Non-Syntactic Word Prediction for AAC
- W12-2906 [bib]: Nancy Green; Curry Guinn; Ronnie Smith
Assisting Social Conversation between Persons with Alzheimer’s Disease and their Conversational Partners
- W12-2907 [bib]: Frank Rudzicz; Rozanne Wilson; Alex Mihailidis; Elizabeth Rochon; Carol Leonard
Communication strategies for a computerized caregiver for individuals with Alzheimer’s disease
- W12-2908 [bib]: Kris Lohmann; Ole Eichhorn; Timo Baumann
Generating Situated Assisting Utterances to Facilitate Tactile-Map Understanding: A Prototype System
- W12-2909 [bib]: Pengfei Lu; Matt Huenerfauth
Learning a Vector-Based Model of American Sign Language Inflecting Verbs from Motion-Capture Data
- W12-2910 [bib]: Stefan Bott; Horacio Saggion; David Figueroa
A Hybrid System for Spanish Text Simplification
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Proceedings of the First Workshop on Predicting and Improving Text Readability for target reader populations
- W12-22 [bib]: Entire Volume
- W12-2200 [bib]: Front Matter
- W12-2201 [bib]: Tucker Maney; Linda Sibert; Dennis Perzanowski; Kalyan Gupta; Astrid Schmidt-Nielsen
Toward Determining the Comprehensibility of Machine Translations
- W12-2202 [bib]: Biljana Drndarevic; Horacio Saggion
Towards Automatic Lexical Simplification in Spanish: An Empirical Study
- W12-2203 [bib]: Advaith Siddharthan; Napoleon Katsos
Offline Sentence Processing Measures for testing Readability with Users
- W12-2204 [bib]: Luz Rello; Horacio Saggion; Ricardo Baeza-Yates; Eduardo Graells
Graphical Schemes May Improve Readability but Not Understandability for People with Dyslexia
- W12-2205 [bib]: Julian Brooke; Vivian Tsang; David Jacob; Fraser Shein; Graeme Hirst
Building Readability Lexicons with Unannotated Corpora
- W12-2206 [bib]: Sara Tonelli; Ke Tran Manh; Emanuele Pianta
Making Readability Indices Readable
- W12-2207 [bib]: Thomas François; Eleni Miltsakaki
Do NLP and machine learning improve traditional readability formulas?
- W12-2208 [bib]: Yi Ma; Ritu Singh; Eric Fosler-Lussier; Robert Lofthus
Comparing human versus automatic feature extraction for fine-grained elementary readability assessment