Spoken Digit Recognition using the k-Nearest-Neighbor method and Mel Frequency Cepstral Coefficients
This study investigates the utilization of the k-nearest-neighbor algorithm within the framework of machine learning for speech recognition applications. The AudioMNIST dataset is used for performing the evaluations in which the model predicts the spoken digit, namely from 0 to 9. Two different trai...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Inforec Association
2024-01-01
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| Series: | Informatică economică |
| Subjects: | |
| Online Access: | https://revistaie.ase.ro/content/110/01%20-%20muraru,%20cocianu.pdf |