Abstract: Devices, systems, and methods for filter life prediction for an aspirating smoke detector are described herein. In some examples, one or more embodiments include a computing device comprising a memory and a processor to execute instructions stored in the memory to log operational data of the aspirating smoke detector for a first time period to generate an initial data set, fit a machine learning model to the initial data set, and determine, based on the machine learning model, a remaining useful life of the filter.

Abstract: Methods and systems for identifying human activity in a building. An illustrative method includes storing one or more room sound profiles for a room in a building based at least in part on background audio captured in the room without a presence of humans in the room. Background noise filters are generated for the room based on the room sound profiles. Real time audio may be captured from the room and filtered with at least one of the background noise filters. The filtered real time audio may be analyzed to identify one or more sounds associated with human activity in the room. A situation report may be generated based at least in part on the identified one or more sounds associated with human activity in the room and transmitted for use by a user.

Abstract: Methods and systems for identifying human activity in a building. An illustrative method includes storing one or more room sound profiles for a room in a building based at least in part on background audio captured in the room without a presence of humans in the room. Background noise filters are generated for the room based on the room sound profiles. Real time audio may be captured from the room and filtered with at least one of the background noise filters. The filtered real time audio may be analyzed to identify one or more sounds associated with human activity in the room. A situation report may be generated based at least in part on the identified one or more sounds associated with human activity in the room and transmitted for use by a user.

Abstract: Methods and systems for identifying human activity in a building. An illustrative method includes storing one or more room sound profiles for a room in a building based at least in part on background audio captured in the room without a presence of humans in the room. Background noise filters are generated for the room based on the room sound profiles. Real time audio may be captured from the room and filtered with at least one of the background noise filters. The filtered real time audio may be analyzed to identify one or more sounds associated with human activity in the room. A situation report may be generated based at least in part on the identified one or more sounds associated with human activity in the room and transmitted for use by a user.

Abstract: Methods and systems for identifying human activity in a building. An illustrative method includes storing one or more room sound profiles for a room in a building based at least in part on background audio captured in the room without a presence of humans in the room. Background noise filters are generated for the room based on the room sound profiles. Real time audio may be captured from the room and filtered with at least one of the background noise filters. The filtered real time audio may be analyzed to identify one or more sounds associated with human activity in the room. A situation report may be generated based at least in part on the identified one or more sounds associated with human activity in the room and transmitted for use by a user.

Abstract: Systems and methods for bio-phonetic multi-phrase speaker identity verification are disclosed. Generally, a speaker identity verification engine generates a dynamic phrase including at least one dynamically-generated word. The speaker identity verification engine prompts a user to speak the dynamic phrase and receives a dynamic phrase utterance. The speaker identity verification engine extracts at least one voice characteristic from the dynamic phrase utterance and compares the at least one voice characteristic with a voice profile the generate a score. The speaker identity verification engine then determines whether to accept a speaker identity claim based on the score.

Abstract: Example methods and apparatus to generate relevance rankings for use by a program selector of a media presentation system are disclosed. An example method comprises tabulating a plurality of occurrence counts for respective ones of a plurality of terms of a program guide, each of the occurrence counts indicating a corresponding number of times each of the terms appears in the program guide, computing a plurality of relevance ranking scores for respective ones of a plurality of programs listed in the program guide based on the plurality of occurrence counts, selecting a list of programs from the program guide based on the relevance ranking scores, and outputting the list of programs.

Abstract: Disclosed herein are systems, computer-implemented methods, and tangible computer-readable media for automatically transcribing voicemail. The method includes receiving a plurality of voicemail messages from callers, identifying for each voicemail message in the plurality of voicemail messages a first frequency with which the respective caller leaves voicemails, identifying for each voicemail message in the plurality of voicemail messages a second frequency with which a user requests transcription of each voicemail, assigning a priority ranking to each voicemail message in the plurality of voicemail messages based on the respective first frequency and the respective second frequency, and transcribing untranscribed voicemail messages with a highest priority ranking. The method can include establishing a priority ranking threshold and repeatedly transcribing a next highest ranking untranscribed voicemail message until no further untranscribed voicemail messages remain above the priority ranking threshold.

Abstract: Devices, systems and methods are disclosed which relate to remotely monitoring the health of an individual. The individual wears a health monitoring device, with an attached strap, capable of sensing characteristics of the individual. These characteristics may include voice level and tone, movements, blood pressure, temperature, etc. The device allows individuals to constantly monitor their health without having to physically visit a doctor or other health care professional. Wireless communication, for instance with an Internet Protocol Television (IPTV) set-top box, allows measurements to be made and evaluated by a ‘computerized’ healthcare service provider. For a more accurate evaluation, measurements are sent over the INTERNET to a service. The device communicates with services in order to diagnose the individual based upon the characteristics.

Abstract: Example methods and apparatus to generate relevance rankings for use by a program selector of a media presentation system are disclosed. An example method comprises tabulating a plurality of occurrence counts for respective ones of a plurality of terms of a program guide, each of the occurrence counts indicating a corresponding number of times each of the terms appears in the program guide, computing a plurality of relevance ranking scores for respective ones of a plurality of programs listed in the program guide based on the plurality of occurrence counts, selecting a list of programs from the program guide based on the relevance ranking scores, and outputting the list of programs.

Abstract: Systems and methods for bio-phonetic multi-phrase speaker identity verification are disclosed. Generally, a speaker identity verification engine generates a dynamic phrase including at least one dynamically-generated word. The speaker identity verification engine prompts a user to speak the dynamic phrase and receives a dynamic phrase utterance. The speaker identity verification engine extracts at least one voice characteristic from the dynamic phrase utterance and compares the at least one voice characteristic with a voice profile the generate a score. The speaker identity verification engine then determines whether to accept a speaker identity claim based on the score.

Abstract: Example methods and apparatus to generate relevance rankings for use by a program selector of a media presentation system are disclosed.

Abstract: Disclosed herein are systems, computer-implemented methods, and tangible computer-readable media for automatically transcribing voicemail. The method includes receiving a plurality of voicemail messages from callers, identifying for each voicemail message in the plurality of voicemail messages a first frequency with which the respective caller leaves voicemails, identifying for each voicemail message in the plurality of voicemail messages a second frequency with which a user requests transcription of each voicemail, assigning a priority ranking to each voicemail message in the plurality of voicemail messages based on the respective first frequency and the respective second frequency, and transcribing untranscribed voicemail messages with a highest priority ranking. The method can include establishing a priority ranking threshold and repeatedly transcribing a next highest ranking untranscribed voicemail message until no further untranscribed voicemail messages remain above the priority ranking threshold.

Abstract: Systems and methods for bio-phonetic multi-phrase speaker identity verification are disclosed. Generally, a speaker identity verification engine generates a dynamic phrase including at least one dynamically-generated word. The speaker identity verification engine prompts a user to speak the dynamic phrase and receives a dynamic phrase utterance. The speaker identity verification engine extracts at least one voice characteristic from the dynamic phrase utterance and compares the at least one voice characteristic with a voice profile the generate a score. The speaker identity verification engine then determines whether to accept a speaker identity claim based on the score.

Abstract: Methods and apparatus to generate a speech recognition library for use by a speech recognition system are disclosed. An example method comprises identifying a plurality of video segments having closed caption data corresponding to a phrase, the plurality of video segments associated with respective ones of a plurality of audio data segments, computing a plurality of difference metrics between a baseline audio data segment associated with the phrase and respective ones of the plurality of audio data segments, selecting a set of the plurality of audio data segments based on the plurality of difference metrics, identifying a first one of the audio data segments in the set as a representative audio data segment, determining a first phonetic transcription of the representative audio data segment, and adding the first phonetic transcription to a speech recognition library when the first phonetic transcription differs from a second phonetic transcription associated with the phrase in the speech recognition library.

Abstract: Disclosed herein are systems, computer-implemented methods, and tangible computer-readable media for automatically transcribing voicemail. The method includes receiving a plurality of voicemail messages from callers, identifying for each voicemail message in the plurality of voicemail messages a first frequency with which the respective caller leaves voicemails, identifying for each voicemail message in the plurality of voicemail messages a second frequency with which a user requests transcription of each voicemail, assigning a priority ranking to each voicemail message in the plurality of voicemail messages based on the respective first frequency and the respective second frequency, and transcribing untranscribed voicemail messages with a highest priority ranking. The method can include establishing a priority ranking threshold and repeatedly transcribing a next highest ranking untranscribed voicemail message until no further untranscribed voicemail messages remain above the priority ranking threshold.

Abstract: Example methods and apparatus to generate relevance rankings for use by a program selector of a media presentation system are disclosed.

Abstract: A remote control device includes a digital audio storage device, a talk button, and an optical distance measurer. The digital audio storage device is configured to continually record an audio input for a specific amount of time. The talk button is coupled to the digital audio storage device and is configured to initiate a transmission of the audio input to a set-top box device. The optical distance measurer is coupled to the talk button and is configured to automatically measure a distance to a user in response to the talk button being pressed.

Abstract: Example methods and apparatus to generate relevance rankings for use by a program selector of a media presentation system are disclosed. An example method comprises tabulating a plurality of occurrence counts for respective ones of a plurality of terms of a program guide, each of the occurrence counts indicating a corresponding number of times each of the terms appears in the program guide, computing a plurality of relevance ranking scores for respective ones of a plurality of programs listed in the program guide based on the plurality of occurrence counts, selecting a list of programs from the program guide based on the relevance ranking scores, and outputting the list of programs.

Abstract: A method, computer-readable storage device and apparatus for processing an utterance are disclosed. For example, the method captures the utterance made by a speaker, captures a video of the speaker making the utterance, sends the utterance and the video to a speech to text transcription device, receives a text representing the utterance from the speech to text transcription device, wherein the text is presented on a screen of a mobile endpoint device, and sends the utterance to a hearing aid device.