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Section 4. develops the channel estimator and data detector, and suggests the optimal training sequence design.
This chapter describes a programming-by-example system for the Web named Creo and a data detector named Miro.
The missing data detector used is the method described in [23] which integrates harmonicity and SNR with a speech model based on vector quantization.
A missing data detector makes a binary decision about which spectro-temporal components are unreliable due to noise distortions and which remain reliable, i.e., are dominated by speech.
With a suitable missing data detector, the solutions described in this article open pathways to also efficiently cover reverberated speech and exploit multiple microphones to implement directional hearing.
EM-based joint data detector [2] has excellent multiuser efficiency and is robust against errors in the estimation of the channel parameters.
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Similarly, data detectors, as Apple calls them, recognise when an email includes an invitation like "How about drinks tomorrow at 8PM?".
This is sort of like how data detectors work in iOS, but Google's feature looks to be more comprehensive, and it's powered by Google's AI for smarter identification.
Among them were Data Detectors, the Mac OS X Dock, the Finder, grammar checking, iCal, iChat, Mail, Parental Controls, Quick Look, Rosetta, Safari, Time Machine, and Leopard's 802.11 AirPort implementation".
A ground truth comparison with standard missing data detectors shows that the proposed algorithm dramatically reduces the number of falsely detected missing data regions.
All the symbols in blue show the data for detector 1, while those in black are for detector 2. The fit to the paralyzable model is displayed in red.
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