Digit-Number Speech-Recognition using Spectrogram-Based Convolutional Neural Network
Author:
Affiliation:
1. Bandung Institute of Technology,School of Electrical Engineering and Informatics,Indonesia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9980473/9980545/09980803.pdf?arnumber=9980803
Reference12 articles.
1. Anti-balance Load Control System Applied to an Overhead Crane Prototype Activated by Voice Commands
2. Binary Neural Networks for Classification of Voice Commands From Throat Microphone
3. EdgeRNN: A Compact Speech Recognition Network With Spatio-Temporal Features for Edge Computing
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1. Efficient Real-Time Smart Keyword Spotting Using Spectrogram-Based Hybrid CNN-LSTM for Edge System;IEEE Access;2024
2. Unmasking the Truth: A Deep Learning Approach to Detecting Deepfake Audio Through MFCC Features;2023 International Conference on Information Technology (ICIT);2023-08-09
3. SpectroNet: A Low Complexity CNN-LSTM Architecture for Keyword Spotting Application;2023 IEEE 66th International Midwest Symposium on Circuits and Systems (MWSCAS);2023-08-06
4. Multilingual and Mixed-lingual Digit Speech Recognition System for Indian Context;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06
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