According to a first aspect of the present disclosure, a method for facilitating the detection of one or more time series patterns is conceived, comprising building one or more artificial neural networks, wherein, for at least one time series pattern to be detected, a specific one of said artificial neural networks is built. According to a second aspect of the present disclosure, a corresponding computer program is provided. According to a third aspect of the present disclosure, a non-transitory computer-readable medium is provided that comprises a computer program of the kind set forth. According to a fourth aspect of the present disclosure, a corresponding system for facilitating the detection of one or more time series patterns is provided.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A method for facilitating the detection of one or more time series patterns, comprising building one or more artificial neural networks, wherein, for at least one time series pattern to be detected, a specific one of said artificial neural networks is built. 2. A method as claimed in claim 1, wherein building said artificial neural networks comprises employing neuroevolution of augmenting topologies. 3. A method as claimed in claim 1, wherein the artificial neural networks are stored for subsequent use in a detection task. 4. A method as claimed in claim 3, wherein each time series pattern to be detected represents a class of said detection task. 5. A method as claimed in claim 1, wherein said time series patterns are audio patterns. 6. A method as claimed in claim 1, wherein a raw time series signal is provided as an input to each artificial neural network that is built. 7. A method as claimed in claim 5, wherein the audio patterns include at least one of the group of: voiced speech, unvoiced speech, user-specific speech, contextual sound, a sound event. 8. A method as claimed in claim 1, wherein the detection of the time series patterns forms part of a speaker authentication function. 9. A method as claimed in claim 7, wherein, for each speaker to be authenticated, at least one artificial neural network is built for detecting speech segments of said speaker. 10. A method as claimed in claim 9, wherein, for each speaker to be authenticated, an artificial neural network is built for detecting voiced speech segments of said speaker, and another artificial neural network is built for detecting unvoiced speech segments of said speaker. 11. A computer program comprising instructions which, when executed, carry out or control a method as claimed in claim 1. 12. A non-transitory computer-readable medium comprising a computer program as claimed in claim 11. 13. A system for facilitating the detection of one or more time series patterns, comprising a network building unit configured to build one or more artificial neural networks, wherein, for at least one time series pattern to be detected, the network building unit is configured to build a specific one of said artificial neural networks. 14. A system as claimed in claim 13, wherein the network building unit is configured to employ neuroevolution of augmenting topologies for building said artificial neural networks. 15. A system as claimed in claim 13, further comprising a storage unit, wherein the network building unit is further configured to store the artificial neural networks in said storage unit for subsequent use in a detection task.