Abstract: Compounds capable of mimicking the pyrin-domain of IF116 is provided together with compounds capable of binding to the pyrin-domain of IF116 or a fragment thereof as well as their uses in medicine. Specifically, the compounds are provided for use in the treatment of disorders associated with STING activity, including cancer and immuno-deficient or auto-immune disorders.

Abstract: The present invention relates to tools for modulating the P62-STING interaction as a method for modulating the innate immune response. The invention relates to compounds which are capable of either inhibiting or potentiating the interaction and thereby induce or prevent the innate immune response relating to STING. Specifically, compounds are provided for use in the treatment of disorders associated with STING activity, including cancer and immuno-deficient or auto-immune disorders.

Abstract: Compounds capable of mimicking the pyrin-domain of IFI16 is provided together with compounds capable of binding to the pyrin-domain of IFI16 or a fragment thereof as well as their uses in medicine. Specifically, the compounds are provided for use in the treatment of disorders associated with STING activity, including cancer and immuno-deficient or auto-immune disorders.

Abstract: A speech recognition system uses a phoneme counter to determine the length of a word to be recognized. The result is used to split a lexicon into one or more sub-lexicons containing only words which have the same or similar length to that of the word to be recognized, so restricting the search space significantly. In another aspect, a phoneme counter is used to estimate the number of phonemes in a word so that a transition bias can be calculated. This bias is applied to the transition probabilities between phoneme models in an HNN based recognizer to improve recognition performance for relatively short or long words.

Abstract: There is provided a novel approach for generating multilingual text-to-phoneme mappings for use in multilingual speech recognition systems. The multilingual mappings are based on the weighted output from a neural network text-to-phoneme model, trained on data mixed from several languages. The multilingual mappings used together with a branched grammar decoding scheme is able to capture both inter- and intra-language pronunciation variations which is ideal for multilingual speaker independent recognition systems. A significant improvement in overall system performance is obtained for a multilingual speaker independent name dialing task when applying multilingual instead of language dependent text-to-phoneme mapping.

Abstract: There is provided a novel approach for generating multilingual text-to-phoneme mappings for use in multilingual speech recognition systems. The multilingual mappings are based on the weighted outputs from a neural network text-to-phoneme model, trained on data mixed from several languages. The multilingual mappings used together with a branched grammar decoding scheme is able to capture both inter- and intra-language pronunciation variations which is ideal for multilingual speaker independent speech recognition systems. A significant improvement in overall system performance is obtained for a multilingual speaker independent name dialing task when applying multilingual instead of language dependent text-to-phoneme mapping.

Abstract: A speech recognition system uses a phoneme counter to determine the length of a word to be recognized. The result is used to split a lexicon into one or more sub-lexicons containing only words which have the same or similar length to that of the word to be recognized, so restricting the search space significantly. In another aspect, a phoneme counter is used to estimate the number of phonemes in a word so that a transition bias can be calculated. This bias is applied to the transition probabilities between phoneme models in an HNN based recognizer to improve recognition performance for relatively short or long words.