On-Device MFCC-CNN Voice Recognition System with ESP-32 and Web-Based Application
Author:
Affiliation:
1. Universitas Islam Indonesia,Department of Electrical Engineering,Yogyakarta,Indonesia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10317623/10317639/10317720.pdf?arnumber=10317720
Reference6 articles.
1. Penerapan metode mel frequency cepstrum coefficient dan dynamic time warping k-nearest neighbour dalam rekognisi aksen suku di Indonesia;ridho;Bachelor's Thesis Universitas Islam Negeri Maulana Malik Ibrahim,2019
2. PEMANFAATAN FITUR GOOGLE VOICE RECOGNITION PADA SMARTPHONE UNTUK PENGENDALIAN PERALATAN RUMAH TANGGA
3. Mel-frequency Cepstral Coefficient-Vector Quantization Implementation for Voice Detection of Rice-Eating Birds in The Rice Fields
4. Overview: Speech recognition technology, mel-frequency cepstral coefficients (mfcc), artificial neural network (ann);mistry;International Journal of Engineering Research and Technology,2013
5. Deep Learning for Audio Signal Processing
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