Dynamic Voltage Scaling with Links for Power Optimization of Interconnection Networks
HPCA '03 Proceedings of the 9th International Symposium on High-Performance Computer Architecture
On Intelligence
CASIS: a context-aware speech interface system
Proceedings of the 10th international conference on Intelligent user interfaces
Power-Performance Simulation and Design Strategies for Single-Chip Heterogeneous Multiprocessors
IEEE Transactions on Computers
Webpage-based benchmarks for mobile device design
Proceedings of the 2008 Asia and South Pacific Design Automation Conference
Communications of the ACM - Security in the Browser
A study on multilingual acoustic modeling for large vocabulary ASR
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
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Many multicore computers are single-user devices, creating the potential to partition by situational usage contexts, similar to how the human brain is organized. Contextual partitioning (CP) permits multiple simplified versions of the same task to exist in parallel, with selection tied to the context in use. We introduce CP for speech recognition, specifically targeted at user interfaces in handheld embedded devices. Contexts are drawn from webpage interactions. CP results in 61% fewer decoding errors, 97% less training for vocabulary changes, near-linear scaling potential with increasing core counts, and up to a potential 90% reduction in power usage.