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Neural network (machine learning)
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=== Speech recognition === By modeling speech signals, ANNs are used for tasks like speaker identification and speech-to-text conversion. Deep neural network architectures have introduced significant improvements in large vocabulary continuous speech recognition, outperforming traditional techniques.<ref name=":07"/><ref name=":15">{{Cite journal |last1=Kariri |first1=Elham |last2=Louati |first2=Hassen |last3=Louati |first3=Ali |last4=Masmoudi |first4=Fatma |date=2023 |title=Exploring the Advancements and Future Research Directions of Artificial Neural Networks: A Text Mining Approach |journal=Applied Sciences |language=en |volume=13 |issue=5 |page=3186 |doi=10.3390/app13053186 |issn=2076-3417 |doi-access=free }}</ref> These advancements have enabled the development of more accurate and efficient voice-activated systems, enhancing user interfaces in technology products.{{citation needed|date=October 2024}}
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