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- W4367321325 abstract "Abstract: This project is based on converting the audio signals receiver to text using speech to text API. Speech to text conversion comprises of small, medium and large vocabulary conversions. Such systems process or accept the voice which then gets converted to their respective text. This paper gives a comparative analysis of the technologies used in small, medium, and large vocabulary Speech Recognition System. The comparative study determines the benefits and liabilities of all the approaches so far. The experiment shows the role of language models in improving the accuracy of speech to text conversion system. We experiment the speech data with noisy sentences and incomplete words. The results show a prominent result for randomly chosen sentences compared to sequential set of sentences" @default.
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- W4367321325 date "2023-04-30" @default.
- W4367321325 modified "2023-09-25" @default.
- W4367321325 title "Audio to Sign Language Translator" @default.
- W4367321325 doi "https://doi.org/10.22214/ijraset.2023.50873" @default.
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