Transcriber: Development and use of a tool for assisting speech corpora production
Speech Communication - Special issue on speech annotation and corpus tools
Quantitative and qualitative evaluation of Darpa Communicator spoken dialogue systems
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
Speech and Language Processing (2nd Edition)
Speech and Language Processing (2nd Edition)
A study of speech recognition for children and the elderly
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 01
Recognition of elderly speech and voice-driven document retrieval
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 01
On the tip-of-the-tongue: Neural correlates of increased word-finding failures in normal aging
Journal of Cognitive Neuroscience
Simulating the behaviour of older versus younger users when interacting with spoken dialogue systems
HLT-Short '08 Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics on Human Language Technologies: Short Papers
Reducing working memory load in spoken dialogue systems
Interacting with Computers
Being Old Doesn’t Mean Acting Old: How Older Users Interact with Spoken Dialog Systems
ACM Transactions on Accessible Computing (TACCESS)
Ageing voices: the effect of changes in voice parameters on ASR performance
EURASIP Journal on Audio, Speech, and Music Processing - Special issue on atypical speech
Toward a virtual assistant for vulnerable users: designing careful interaction
SMIAE '12 Proceedings of the 1st Workshop on Speech and Multimodal Interaction in Assistive Environments
Android-based speech processing for eldercare robotics
Proceedings of the companion publication of the 2013 international conference on Intelligent user interfaces companion
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Although older people are an important user group for smart environments, there has been relatively little work on adapting natural language interfaces to their requirements. In this paper, we focus on a particularly thorny problem: processing speech input from older users. Our experiments on the MATCH corpus show clearly that we need age-specific adaptation in order to recognize older users' speech reliably. Language models need to cover typical interaction patterns of older people, and acoustic models need to accommodate older voices. Further research is needed into intelligent adaptation techniques that will allow existing large, robust systems to be adapted with relatively small amounts of in-domain, age appropriate data. In addition, older users need to be supported with adequate strategies for handling speech recognition errors.