Abstract
Automatic and real-time language identification is a crucial task in several automated applications such as call centre, online robotic tele-medicine counselling, etc. With the help of advancement in the machine learning technique, automatic language identification problems can be solved very easily. In this work, an online language identification system has been developed with the help of open-source software Python and its libraries like numpy, scipy, and tkinter. In this proposed system, Mel Frequency Cepstral Coefficients (MFCC) has been used as feature vector. Further, Artificial Neural Network (ANN) with multiple layer architecture has been used as a classifier in order to classify the input speech signal into different languages. Python graphical user interface (GUI) was also developed in order to make the classification and sound recording task easier for the end-user.
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Sajjan, M., Reddy, M.V., Hanumanthappa, M. (2021). Python GUI for Language Identification in Real-Time Using FFNN and MFCC Features. In: Kaiser, M.S., Xie, J., Rathore, V.S. (eds) Information and Communication Technology for Competitive Strategies (ICTCS 2020). Lecture Notes in Networks and Systems, vol 190. Springer, Singapore. https://doi.org/10.1007/978-981-16-0882-7_21
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DOI: https://doi.org/10.1007/978-981-16-0882-7_21
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