Conversion of Acoustic Signal (Speech) Into Text By Digital Filter using Natural Language Processing

نویسندگان

چکیده

One of the most crucial aspects communication in daily life is speech recognition. Speech recognition that based on natural language processing one essential elements conversion system to another. In this paper, we created an interface transforms and other auditory inputs into text using a digital filter. Contrary many methods for conversion, it also possible linguistic faults appear occasionally, gender recognition, unsuccessful (cannot recognize voice), fail. Since technical problems are involved, developed program acts as mediator prevent initiating software issues order eliminate even little deviation. Its planned MFCC HMM sync with its AI system. As result, errors have been avoided.

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ژورنال

عنوان ژورنال: International journal of engineering and advanced technology

سال: 2022

ISSN: ['2249-8958']

DOI: https://doi.org/10.35940/ijeat.a3802.1012122