Abstract: Described herein there is a computer-implemented method for generating a dialogue system output, comprising: receiving, at an input, input data relating to a speech or text input signal originating from a user device; receiving, at one or more processors, a plurality of domain snippets, wherein each domain snippet comprises data representing reference data and data representing an associated prompt; processing, by the one or more processors, the plurality of domain snippets to determine a plurality of similarity indicators, each similarity indicator indicating a similarity between the input data and a respective domain snippet; processing, by the one or more processors, the plurality of similarity indicators to select one or more of the data representing reference data; providing, by the one or more processors, data representing the input data and the one or more data representing reference data as an input to an input layer of a neural network configured to generate a dialogue system output by: identifying a

Abstract: A dialogue system, comprising: an input configured to obtain input data relating to speech or text provided by a user; an output configured to provide output data relating to speech or text to a user; and one or more processors, the one or more processors being configured to: receive, by way of the input, input data relating to speech or text provided by a user; receive, at a first module, structured information comprising information relating to a clinical state of the user, the structured information being generated from the input data, the first module comprising a subject understanding module and a subject recommendation module, wherein the subject understanding module comprises one or more subject understanding models, each of the one or more subject understanding models configured to take as input the structured information and provide as output subject profile information; generate, at the subject understanding module, subject profile information based on the structured information; determine a subject

Abstract: A dialogue system, comprising: an input configured to receive input data relating to speech or text provided by a user; an output configured to provide output data relating to speech or text to a user; and one or more processors, configured to: receive, by way of the input, input data relating to speech or text provided by a user; provide the input data to a subject safety module, the subject safety module configured to receive the input data and evaluate the input data before a system response is output, evaluating the input data comprising performing a first determination on the input data using a matching module and a second determination on the input data using a trained model, wherein the matching module performs the first determination to determine whether the input data matches one or more items from a pre-determined set of one or more items; generate a system response using a first process or using a second process, wherein the first process uses at least one trained language model to generate a dynam

Abstract: The present invention relates to a method of continuously monitoring the biometrics of a user in order to determine and gather more accurate data on their mental state. More particularly, the present invention relates to a method of dynamically prompting the user in response to the monitoring of the user and the determination of the user's mental state. Aspects and/or embodiments seek to provide a method of substantially continuous monitoring of a user's mental state, and prompting of users based on their monitored mental state.

Abstract: The present invention relates to the determination or classification of the mental state of a user and associated confidence values for the determined mental state. More particularly, the present invention relates to the use of various sensor data to determine the mental states of users, such as optical heart data or electrocardiography data, for example, from wearable devices (in a variety of form-factors, for example smart watches, fitness trackers, smart rings, smart textile, headsets, or wearable patches) or other devices having sensors operable to detect relevant attributes of a user that can be used to determine the user's mental state, such as physiological attributes. Aspects and/or embodiments seek to provide methods and systems for detecting (or determining) a mental state and a confidence for the detected mental state of a user.

Abstract: The present invention relates to a computer implemented method for training one or more parameters of a model. More particularly, the present invention relates to a computer implemented method for training one or more parameters of a model based on emotion signals. Aspects and/or embodiments seek to provide a computer implemented method which can calculate and/or predict emotion signals for training software implementations of mathematical models or machine learned models based on these emotion signals.

Abstract: A dynamic boost audio system includes a booster circuit having a dynamically sliding power supply unit (PSU) capable of outputting power among a plurality of different power levels. The booster circuit is configured to identify a real-time audio level of an audio signal, and automatically adjust the power to the power level such that the audio signal is output in response to the real-time audio level.

Abstract: An amplifier system includes a Class-D power amplifier integrated circuit (IC) that is nested inside a feedback loop of a low noise differential operational amplifier (op-amp).

Abstract: A pre-amplifier circuit including a microphone pre-amplifier stage with a direct injection (DI) unit that provides a high impedance source signal and a low impedance XLR connection operable without a line or mic switch.

Abstract: A digital-to-analog converter (DAC) circuit includes a pair of output stages, each including a DAC configured to convert a digital audio signal into an analog audio signal. A low-pass filter circuit includes an operational amplifier in signal communication with the DAC. The operation amplifier generates a filtered analog signal based on the analog audio signal. An amplifier network generates an amplified audio signal based on the filtered analog signal. The operational amplifier includes a feedback circuit path including a first node connected to the output of the amplifier network and a second node connected to the input of the operational amplifier. The amplifier network is electrically nested in the feedback circuit path.

Abstract: A switchless pre-amplifier input circuit includes an audio input connector that receives a first audio device operable at a first impedance and a second audio device operable at a second impedance less than the first impedance. A preamplifier circuit outputs a preamplified audio signal in response to amplifying a first audio signal generated by the first audio device or a second audio signal generated by the second audio device. The switchless pre-amplifier input circuit further includes a impedance selector circuit that adjusts an impedance at the output to reach the second impedance in response to connecting the second audio device to the audio input connector and to adjust the impedance at the output to reach the first impedance in response to connecting the first audio device to the audio input.

Abstract: An amplifier system includes a Class-D power amplifier integrated circuit (IC) that is nested inside a feedback loop of a low noise differential operational amplifier (op-amp).

Abstract: A digital-to-analog converter (DAC) circuit includes a pair of output stages, each including a DAC configured to convert a digital audio signal into an analog audio signal. A low-pass filter circuit includes an operational amplifier in signal communication with the DAC. The operation amplifier generates a filtered analog signal based on the analog audio signal. An amplifier network generates an amplified audio signal based on the filtered analog signal. The operational amplifier includes a feedback circuit path including a first node connected to the output of the amplifier network and a second node connected to the input of the operational amplifier. The amplifier network is electrically nested in the feedback circuit path.

Abstract: A pre-amplifier circuit including a microphone pre-amplifier stage with a direct injection (DI) unit that provides a high impedance source signal and a low impedance XLR connection operable without a line or mic switch.

Abstract: A switchless pre-amplifier input circuit includes an audio input connector that receives a first audio device operable at a first impedance and a second audio device operable at a second impedance less than the first impedance. A preamplifier circuit outputs a preamplified audio signal in response to amplifying a first audio signal generated by the first audio device or a second audio signal generated by the second audio device. The switchless pre-amplifier input circuit further includes a impedance selector circuit that adjusts an impedance at the output to reach the second impedance in response to connecting the second audio device to the audio input connector and to adjust the impedance at the output to reach the first impedance in response to connecting the first audio device to the audio input.

Abstract: A dynamic boost audio system includes a booster circuit having a dynamically sliding power supply unit (PSU) capable of outputting power among a plurality of different power levels. The booster circuit is configured to identify a real-time audio level of an audio signal, and automatically adjust the power to the power level such that the audio signal is output in response to the real-time audio level.

Abstract: The present invention relates to plant of the species Cucumis melo, said plant comprising a genetic element derived from a plant of the species Cucumis melo var. agrestis, which genetic element comprises a closterovirus-resistance-conferring QTL or a closterovirus-resistance-conferring part thereof linked to at least one marker located on the chromosome equivalent to linkage group (LG) 6 of melon accession PI 313970, wherein said plant is not melon accession PI 313970.

Abstract: The present invention relates to a plant of a cucumber breeding line having an introgression from cucumber accession PI 169383, a representative sample of seed of which has been deposited with the NCIMB, Aberdeen, Scotland under accession number NCIMB 41532 and depositors reference PI169383, wherein said introgression is an introgression on linkage group 4 associated with increased yield of said plants, wherein said plant exhibits an increased yield relative a plant of said cucumber breeding line lacking said introgression, and wherein said increased yield refers to a higher total fruit weight per plant.

Abstract: The present invention relates to a plant of a cucumber breeding line comprising an introgression from cucumber inbred line URS 189, a representative sample of seed of which has been deposited with the NCIMB, Aberdeen, Scotland under accession number NCIMB 41612 and depositors reference URS 189, or a Fusarium-resistant offspring plant of line URS 189, wherein said introgression confers to said plant of said cucumber breeding line resistance to the causal agent of Fusarium stem and root rot Fusarium oxysporum f. sp. radicis cucumerinum (Forc).

Abstract: The present invention relates to a plant of a cucumber breeding line comprising an introgression from cucumber inbred line URS 189, a representative sample of seed of which has been deposited with the NCIMB, Aberdeen, Scotland under accession number NCIMB 41612 and depositors reference URS 189, or a Fusarium-resistant offspring plant of line URS 189, wherein said introgression confers to said plant of said cucumber breeding line resistance to the causal agent of Fusarium stem and root rot Fusarium oxysporum f. sp. radicis cucumerinum (Forc).