In this project, a Keyword Spotting System is developed for predict words from audio files. In this case, the words that the system can detect are:
"one", "two", "three", "four", "five", "six", "seven", "eight", "nine", "zero",
"up", "down", "left", "right", "go", "stop", "on", "off", "yes", "no", "cat", "dog"
In addition, such a system is deployed on a Flask API server to predict from a client scipt.
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os
librosa
json
numpy == 1.21
scikitlearn
tensorflow.keras
matplotlib.pyplot
flask
random
requests
- Deep Learning (Audio) application: From degign to deployment (V.Velardo): https://www.youtube.com/playlist?list=PL-wATfeyAMNpCRQkKgtOZU_ykXc63oyzp
- Google's Speech Commands Dataset: https://ai.googleblog.com/2017/08/launching-speech-commands-dataset.html