The document presents a methodology for developing a bilingual speech identification system using artificial neural networks for Assamese and English languages. It discusses the significance of multilingual speech processing and the implementation of the system utilizing feature extraction techniques like MFCC and classification via an ANN. The results indicate successful identification of words in both languages, highlighting the challenges faced due to language similarities and ambiguities.
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