Andere Kunden interessierten sich auch für
![SPEECH RECOGNITIO ON DEEP LEARNING]( "SPEECH RECOGNITIO ON DEEP LEARNING")
SPEECH RECOGNITIO ON DEEP LEARNING36,99 €![Spracherkennung mit deep learning]( "Spracherkennung mit deep learning")
Spracherkennung mit deep learning54,90 €![Deep learning]( "Deep learning")
Deep learning26,99 €![SMART CONTROL OF TRAFFIC LIGHT USING DEEP LEARNING]( "SMART CONTROL OF TRAFFIC LIGHT USING DEEP LEARNING")
SMART CONTROL OF TRAFFIC LIGHT USING DEEP LEARNING29,99 €![Audio Segmentation for speech recognition using feature extraction]( "Audio Segmentation for speech recognition using feature extraction")
Audio Segmentation for speech recognition using feature extraction39,99 €![Predictive Analytics in Educational Data Mining With Machine Learning]( "Predictive Analytics in Educational Data Mining With Machine Learning")
Predictive Analytics in Educational Data Mining With Machine Learning44,99 €![Machine Learning Algorithms for Efficient Brain Tumor Segmentation]( "Machine Learning Algorithms for Efficient Brain Tumor Segmentation")
Machine Learning Algorithms for Efficient Brain Tumor Segmentation36,99 €
Speech Recognition using Convolution neural network, is used to recognized the words and digitize them and analyze the sound. It trains a deep learning model that detects the presence of speech commands in audio it implemented by using MATLAB. It uses a convolution neural network to train a model. The model was trained for commands and background noise. The trained model getting accuracy of 96.34% while testing the data. Define the level for audio processing and the level of identification in Hz and build an audio interface viewer that can interpret audio from your microphone. When we speak commands it detects and visualize it and we speak other than commands it shows unknown. When we not speaking anything it detecting background noise.