Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Systems, methods, and circuitry for performing distributed speech processing are provided. In one example voice activation circuitry is configured to receive audio data detected by a gateway that is connected to a plurality of devices and recognize a key phrase based on the audio data. In response to recognizing the key phrase, the voice activation circuitry is configured to store the audio data in memory located in the gateway and provide the stored audio data to a selected device in the plurality of devices for speech processing.

Abstract: A system, apparatus, method, and computer readable medium for using an audio trigger for surveillance in a security system. The method including receiving an audio input stream via a microphone. Dividing the audio input stream into audio segments. Filtering high energy audio segments from the audio segments. If a high energy audio segment includes speech, then determining if the speech is recognized as the speech of users of the system. If the high energy audio segment does not include the speech, then classifying the high energy audio segment as an interesting sound or an uninteresting sound. Determining whether to turn video on based on classification of the high energy audio segment as the interesting sound, speech recognition of the speech as the speech of the users of the system, and contextual data.

Abstract: 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.

Abstract: An integrated video processing circuit (VPC) and method for providing a displayed visual user interface for the display, selection and setup of video input sources on a shared display. A VPC processes video from two or more video input sources, where some subset of the two or more video input sources receive video from a respective device. The VPC creates on the display a visual user interface consisting of live or interval-updated video providing simultaneously (e.g., in a mosaic of windows) a visual indication of the status of some or all of the video input sources. The VPC allows for the easy selection and setup of the respective devices via the user interface on the display and an input device (e.g., a remote control device).