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TELKOMNIKA Telecommunication, Computing, Electronics and Control
The convolutional neural networks for Amazigh speech recognition system
In this paper, we present an approach based on convolutional neural networks
to build an automatic speech recognition system for the Amazigh language.
This system is built with TensorFlow and uses mel frequency cepstral
coefficient (MFCC) to…
to build an automatic speech recognition system for the Amazigh language.
This system is built with TensorFlow and uses mel frequency cepstral
coefficient (MFCC) to…
Journal of ICT Research and Applications ITB Bandung Vol. 15 No. 1 2021
Unsupervised Detection of Anomalous Sound for Machine Condition Monitoring using Fully Connected U-Net
Abstract. Anomaly detection in the sound from machines is an important task in machine monitoring. An autoencoder architecture based on the reconstruction error using a log-Mel spectrogram feature is a conventional approach for this domain. However,…