Intel Corporation

Gong I.o Ltd.

Ruth Aloni-Lavi

Eliav Zipper

Shimeon Greenberg

A system and method for automated speech recognition using customized language models. A method includes identifying a plurality of words among first content, wherein the first content corresponds to a use case; adjusting a language model based on the plurality of words in order to create a customized language model, wherein the customized language model is configured to output language predictions when applied to features extracted from audio content, wherein the language model is adjusted to increase a likelihood that the language model outputs the plurality of words as language predictions; applying the customized language model to second content in order to determine a plurality of outputs of the customized language model, wherein the second content is audio content corresponding to the use case; and determining speech recognition outputs based on the plurality of outputs of the customized language model.

Language model customization techniques and applications thereof

Briefly, some embodiments of the invention provide devices, systems and methods of multiple transceivers control. For example, a method in accordance with an embodiment of the invention may include determining whether interference is expected between an intended activity of a first wireless transceiver of a wireless communication station and an activity of a second wireless transceiver of said wireless communication station; and based on the determination result, modifying an operational parameter of an interference reducer of said wireless communication station.

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Raanana, Israel

Ruth Aloni-Lavi