Abstract: A method includes determining one or more audio characteristics of a first digital signal representing a first portion of streaming media content provided by a media playback application to an audio output component; playing the first portion of the media content into an environment; capturing, by an audio output component, a second digital signal representing the first portion of the media content as played; determining, based on the captured second digital signal, one or more detected audio characteristics of the media content as played into the environment; determining a difference between the one or more audio characteristics of the media content and the one or more detected audio characteristics; calibrating a second portion of the media content based on the difference and based on a determination that the second portion is to be calibrated; and playing, by the audio output component into the environment, the second portion as calibrated.

Abstract: A measure factory for generating analytic measures includes data sets representing business activities arranged as columnar arrays with each column being associated with a distinct source rule that applies to the column when it is used as a data source. The measure factory includes factory rules that govern which operations on available data sources may be executed under what conditions in the measure factory, such as by taking into account the source rules and other applicable factory rules. A factory rule execution hierarchy governs the execution of ready factory rules that lack dependency on other factory rules before executing ready factory rules that have dependency on other factory rules. A script generation facility generates a script to process the plurality of factory rules according to the factory rule execution hierarchy.

Abstract: A computer-implemented method includes accessing data from distinct data domains corresponding to different data sources, and determining a core dimension of the accessed data common to first and second distinct data domains. The method further includes generating a data set from the data sources using a columnar data generation engine, and deriving, from the data set via stateless processing, a first guided page including actionable elements depicting data derived from the first distinct data domain. The method further includes responsive to a user interaction with one of the actionable elements, providing, dependent on the common core dimension, direct navigation from the first to the second distinct data domain, and predicting, from the data set based on machine learning and prior to the user interaction, a second guided page that depicts data derived from the second distinct data domain and is presented responsive to the direct navigation.

Abstract: The invention relates to a flexible specimen collection container for use with a toilet frame comprising: a sealable opening for receiving stool directly from a donor; a first compartment for receiving and holding stool, said first compartment coupled to said opening; a second compartment for collecting and holding fluid received from the donor through the sealable opening, the second compartment being in fluid communication with said first compartment and configured to substantially separate the fluid from the stool. At least one port may be connected to said first compartment and being configured to pass at least a portion of the stool.

Abstract: A method for providing a frame-based mel spectral representation of speech includes receiving a text utterance having at least one word, and selecting a mel spectral embedding for the text utterance. Each word in the text utterance has at least one syllable and each syllable has at least one phoneme. For each phoneme, using the selected mel spectral embedding, the method also includes: predicting a duration of the corresponding phoneme by encoding linguistic features of the corresponding phoneme with a corresponding syllable embedding for the syllable that includes the corresponding phoneme; and generating a plurality of fixed-length predicted mel-frequency spectrogram frames based on the predicted duration for the corresponding phoneme. Each fixed-length predicted mel-frequency spectrogram frame representing mel-spectral information of the corresponding phoneme.

Abstract: Assisted analytics, facilitates responding to a user selection of a measure that is calculated from a data set that is characterized by a plurality of dimensions of data, populating, with a processor a set of dimensions of the data with dimensions that contribute at least one data value to the user selected measure by calculating, for each dimension of the data in the set of dimensions of data a measure outlier threshold for a set of timeframe-specific values of the measure. This outlier threshold is applied, for each dimension of the data in the set of dimensions of data to calculate a dimension-specific outlier factor by aggregating timeframe-specific outlier weights for each timeframe in which a timeframe-specific value in the set of timeframe-specific values exceeds the measure outlier threshold. The results of this aggregation can be displayed in a ranked list of dimensions based on the dimension-specific outlier factor.

Abstract: A measure factory for generating analytic measures includes data sets representing business activities arranged as columnar arrays with each column being associated with a distinct source rule that applies to the column when it is used as a data source. The measure factory includes factory rules that govern which operations on available data sources may be executed under what conditions in the measure factory, such as by taking into account the source rules and other applicable factory rules. A factory rule execution hierarchy governs the execution of ready factory rules that lack dependency on other factory rules before executing ready factory rules that have dependency on other factory rules. A script generation facility generates a script to process the plurality of factory rules according to the factory rule execution hierarchy.

Abstract: A method for providing a frame-based mel spectral representation of speech includes receiving a text utterance having at least one word, and selecting a mel spectral embedding for the text utterance. Each word in the text utterance has at least one syllable and each syllable has at least one phoneme. For each phoneme, using the selected mel spectral embedding, the method also includes: predicting a duration of the corresponding phoneme by encoding linguistic features of the corresponding phoneme with a corresponding syllable embedding for the syllable that includes the corresponding phoneme; and generating a plurality of fixed-length predicted mel-frequency spectrogram frames based on the predicted duration for the corresponding phoneme. Each fixed-length predicted mel-frequency spectrogram frame representing mel-spectral information of the corresponding phoneme.

Abstract: A method includes receiving an input text utterance to be synthesized into expressive speech having an intended prosody and a target voice and generating, using a first text-to-speech (TTS) model, an intermediate synthesized speech representation tor the input text utterance The intermediate synthesized speech representation possesses the intended prosody. The method also includes providing the intermediate synthesized speech representation to a second TTS model that includes an encoder portion and a decoder portion. The encoder portion is configured to encode the intermediate synthesized speech representation into an utterance embedding that specifies the intended prosody The decoder portion is configured to process the input text utterance and the utterance embedding to generate an output audio signal of expressive speech that has the intended prosody specified by the utterance embedding and speaker characteristics of the target voice.

Abstract: A removable gas sensor module is provided for a therapeutic gas delivery device. The gas sensor module includes a sample chamber which receives a sample gas from the therapeutic gas delivery device. A gas detection unit includes a plurality of sensors operable to measure at least one property of the sample gas. The sensors include two or more of a gas detection sensor, a humidity sensor, a temperature sensor, or a combination thereof. The gas sensor module is self-contained within the therapeutic gas delivery device and swappable with another gas sensor module.

Abstract: The present application provides switchable, homogeneous paint composition and methods of painting and/or forming films or coatings using the composition. The composition includes a liquid having an aqueous solution and dissolved acid gas (e.g., carbonated water), and a switchable polymer. The switchable polymer converts from a protonated, water-soluble form in the liquid to a water-insoluble unprotonated form following removal or substantial removal of the liquid and acid gas.

Abstract: An apparatus and a method for detecting, classifying and tracking road users on frames of video data are provided. An object detection unit identifies an object in a frame of the video data. A pre-filtering unit determines whether the identifier associated to an object corresponds to another identifier associated to the same object in the same frame of the video data when the identifiers overlap. A tracking unit matches the identified object to a corresponding object in another frame of the video data, such that a path of the sequence of matched objects is tracked throughout the frames of the video data. A scenario unit determines a safety indicator that is a function of the risk indicators indicating interactions between road users.

Abstract: Assisted analytics, facilitates responding to a user selection of a measure that is calculated from a data set that is characterized by a plurality of dimensions of data, populating, with a processor a set of dimensions of the data with dimensions that contribute at least one data value to the user selected measure by calculating, for each dimension of the data in the set of dimensions of data a measure outlier threshold for a set of timeframe-specific values of the measure. This outlier threshold is applied, for each dimension of the data in the set of dimensions of data to calculate a dimension-specific outlier factor by aggregating timeframe-specific outlier weights for each timeframe in which a timeframe-specific value in the set of timeframe-specific values exceeds the measure outlier threshold. The results of this aggregation can be displayed in a ranked list of dimensions based on the dimension-specific outlier factor.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating speech from text. One of the systems includes one or more computers and one or more storage devices storing instructions that when executed by one or more computers cause the one or more computers to implement: a sequence-to-sequence recurrent neural network configured to: receive a sequence of characters in a particular natural language, and process the sequence of characters to generate a spectrogram of a verbal utterance of the sequence of characters in the particular natural language; and a subsystem configured to: receive the sequence of characters in the particular natural language, and provide the sequence of characters as input to the sequence-to-sequence recurrent neural network to obtain as output the spectrogram of the verbal utterance of the sequence of characters in the particular natural language.

Abstract: A method for generating a prosodic representation includes receiving a text utterance having one or more words. Each word has at least one syllable having at least one phoneme. The method also includes generating, using a Bidirectional Encoder Representations from Transformers (BERT) model, a sequence of wordpiece embeddings and selecting an utterance embedding for the text utterance, the utterance embedding representing an intended prosody. Each wordpiece embedding is associated with one of the one or more words of the text utterance. For each syllable, using the selected utterance embedding and a prosody model that incorporates the BERT model, the method also includes generating a corresponding prosodic syllable embedding for the syllable based on the wordpiece embedding associated with the word that includes the syllable and predicting a duration of the syllable by encoding linguistic features of each phoneme of the syllable with the corresponding prosodic syllable embedding for the syllable.

Abstract: A measure factory for generating analytic measures includes data sets representing business activities arranged as columnar arrays with each column being associated with a distinct source rule that applies to the column when it is used as a data source. The measure factory includes factory rules that govern which operations on available data sources may be executed under what conditions in the measure factory, such as by taking into account the source rules and other applicable factory rules. A factory rule execution hierarchy governs the execution of ready factory rules that lack dependency on other factory rules before executing ready factory rules that have dependency on other factory rules. A script generation facility generates a script to process the plurality of factory rules according to the factory rule execution hierarchy.

Abstract: A cultivar growing system is disclosed that may comprise a plurality of chambers. Each chamber comprises a floor, walls and a ceiling. The chambers also support a plurality of cultivars. The chambers also include sensors that monitor light, temperature, humidity, leaf temperature, vapor pressure deficit, carbon dioxide, plus grow medium temperature, oxygen, pH level, total dissolved solids, and electrical conductivity, and nutrients in the chamber and lighting elements that supply light from the direction of the ceiling of the chamber. The chamber also includes an air supply that supplies air from the direction of the floor of the chamber and a nutrient supply that provides nutrients and water to the cultivars. The chamber may also include one or more control systems for controlling the lighting elements, air supply and nutrient supply, wherein the one or more control systems incorporates information from the sensors and a predetermined growth recipe.

Abstract: The invention relates to alpha conotoxin (?-conotoxin) peptides and methods for their preparation. Also described are pharmaceutical compositions comprising alpha conotoxin (?-conotoxin) peptides and their use in the treatment or prevention of indications 5 associated with nicotinic acetylcholine receptors and/or voltage gated calcium channels.

Abstract: The disclosure provides methods and systems for analyzing genotype data. In some embodiments, a computer-implemented method comprises receiving data relating to one or more phenotypes of a subject or family members thereof, and ranking genes based on their association score with one or more phenotypes. Next, an output of the data is generated, the output comprising a comparison of the data based on the association score. The comparison can be in at least one of numeric and graphic form.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating speech from text. One of the systems includes one or more computers and one or more storage devices storing instructions that when executed by one or more computers cause the one or more computers to implement: a sequence-to-sequence recurrent neural network configured to: receive a sequence of characters in a particular natural language, and process the sequence of characters to generate a spectrogram of a verbal utterance of the sequence of characters in the particular natural language; and a subsystem configured to: receive the sequence of characters in the particular natural language, and provide the sequence of characters as input to the sequence-to-sequence recurrent neural network to obtain as output the spectrogram of the verbal utterance of the sequence of characters in the particular natural language.