René's URL Explorer Experiment

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                "text": "Speech recognition works by capturing audio input, preprocessing the signal to enhance its quality, extracting relevant features such as Mel-Frequency Cepstral Coefficients (MFCCs), and using a recognition algorithm to match these features to known patterns of speech, ultimately converting spoken language into text."
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                "text": "To create a neural network for speech recognition in Python, you can use deep learning frameworks like TensorFlow or PyTorch. Define the architecture of the neural network, including layers such as convolutional and recurrent layers, and train the network using a large dataset of labeled audio samples."
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