Enabling Non-Speech Experts to Develop Usable Speech-User Interfaces

@inproceedings{Kumar2014EnablingNE,
  title={Enabling Non-Speech Experts to Develop Usable Speech-User Interfaces},
  author={Anuj Kumar},
  year={2014}
}
.................................................................................................. Acknowledgements ..................................................................................... Table of 

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Showing 1-10 of 147 references

Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition

IEEE Transactions on Audio, Speech, and Language Processing • 2012
View 4 Excerpts
Highly Influenced

Designing speech and language interactions

CHI Extended Abstracts • 2014
View 4 Excerpts
Highly Influenced

PixelTone: a multimodal interface for image editing

CHI • 2013
View 5 Excerpts
Highly Influenced

Karaoke for social and cultural change

J. Inf., Comm, Ethics in Society • 2006
View 7 Excerpts
Highly Influenced

User-centered design

C. Abras, D. Maloney-Krichmar, J. Preece
Encyclopedia of Human-Computer Interaction, • 2004
View 11 Excerpts
Highly Influenced

Two decades of Ripple Down Rules research

DEBB I E R I CHARD
2010
View 3 Excerpts
Highly Influenced

Investigating recognition of children's speech

View 5 Excerpts
Highly Influenced

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