Intel Corporation

Ze'ev Rivlin

Jonathan J Huang

Willem M Beltman

Vered Bar Bracha

Douglas L Gabel

Binuraj K Ravindran

Sylvia Downing

Narayan Biswal

Moshe Wasserblat

Oren Pereg

Vasudev Lal

Gadi Singer

Arden Ma

Ana Paula Quirino Simoes

Daniel Korat

Phillip Howard

Erik Norden

Nagib Hakim

Binuraj Ravindran

Douglas Gabel

Methods and apparatus for a knowledge-based deep learning refactoring model with tightly integrated functional nonparametric memory are disclosed. An example non-transitory computer readable medium comprises instructions that, when executed, cause a machine to at least estimate a first information extraction cost corresponding to retrieval of information from a local knowledge base, estimate a second information extraction cost corresponding retrieval of information from a remote knowledge base, select an information source based on the first and second estimated information extraction costs, query the selected information source, in response to determining that the selected information source was an external information source, store the queried information in the local knowledge base, organize the stored information in the local knowledge base, and return the queried information.

Methods and apparatus for a knowledge-based deep learning refactoring model with tightly integrated functional nonparametric memory

A system, apparatus, method, and computer program product for a speaking aid. The system including network interface circuitry to receive speech input from a user. The speech input includes a partial sentence with a missing word or the partial sentence with a stuttered word. The system also includes a processor coupled to the network interface circuitry and one or more memory devices coupled to the processor. The one or more memory devices include instructions, that when executed by the processor, cause the system to detect a stutter or pause in the speech input, predict the stuttered word or the missing word, present a predicted word from an n-best list to the user; and if a prompt is received from the user, present a next word from the n-best list until the user speaks a correct word to replace the stutter or the pause.

Time capsule based speaking aid

A system, method, apparatus and computer readable medium for hierarchical speech recognition resolution. The method of hierarchical speech recognition resolution on a platform includes receiving a speech stream from a microphone. The speech stream is resolved using a lowest possible level automatic speech recognition (ASR) engine of multi-level ASR engines. The selection of the lowest possible level ASR engine is based on policies defined for the platform. If resolution of the speech stream is rated less than a predetermined confidence level, the resolution of the speech stream is pushed to a next higher-level ASR engine of the multi-level ASR engines until the resolution of the speech stream meets the predetermined confidence level without violating one or more policies.

Hierarchical speech recognition resolution

Growing community of inventors

Raanana, Israel

Ze'ev Rivlin