Abstract
Virtual assistant or human-like robot has become the most attractive technology nowadays., where we badly need communication. And verbal communication is the most comfortable one. Here, it comes with the necessity of voice recognition system. Recently, researchers are really focusing on developing voice recognition systems with the help of machine learning and deep learning algorithms. And for that, researchers need a large amount of audio data. In this research, we will discuss from collecting audio files from different speakers to represent them into numeric formation so that it becomes possible to apply machine learning or deep learning algorithm on it. Its need some requirement as well as specific formation, instruction to the speaker, organized the speeches and making the scripts are the most important things. And all the description in this work has been described with experience of our own work with speech data. The dataset of this work has exactly 10,992 speech data of 1000 unique words of more than 50 speakers.
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Saiful Islam Badhon, S.M., Rupon, F.R., Habibur Rahaman, M., Abujar, S. (2021). A Language-Independent Speech Data Collection and Preprocessing Technique. In: Hassanien, A.E., Bhattacharyya, S., Chakrabati, S., Bhattacharya, A., Dutta, S. (eds) Emerging Technologies in Data Mining and Information Security. Advances in Intelligent Systems and Computing, vol 1300. Springer, Singapore. https://doi.org/10.1007/978-981-33-4367-2_9
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DOI: https://doi.org/10.1007/978-981-33-4367-2_9
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