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"!pip install transformers\n", - "!pip install -U datasets\n", - "!pip install soundfile\n", - "!pip install librosa\n", - "!pip install gradio" - ] - }, - { - "cell_type": "code", - "source": [ - "%%capture\n", - "# Load the librispeech-asr dataset for example with a specific split (\"train.clean.100\")\n", - "# This dataset is often used for automatic speech recognition tasks.\n", - "from datasets import load_dataset\n", - "dataset = load_dataset(\"librispeech_asr\",\n", - " split = \"train.clean.100\",\n", - " streaming = True)" - ], - "metadata": { - "id": "vI5RBCyogg-I" - }, - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "# Extracting the first example from the dataset\n", - "# iter() converts the dataset object into an iterator and allows user to iterate over the elements of a dataset one by one\n", - "example = next(iter(dataset))" - ], - "metadata": { - "id": "peLS0xdUg59J" - }, - "execution_count": 3, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "# Create list of dataset_head containing the first 5 elements (or samples) from the original dataset\n", - "dataset_head = dataset.take(5)\n", - "list(dataset_head)" - ], - "metadata": { - "id": "KYrvkBGAhBFs" - }, - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "# Print the third element of the dataset_head, to understand the structure or content of that\n", - "list(dataset_head)[2]" - ], - "metadata": { - "id": "m89zvYXphF89" - }, - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "# Print exmaple\n", - "example" - ], - "metadata": { - "id": "xFStgx0shPJ5" - }, - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "# Import class Audio from IPythonAudio to display audio within IPython or Jupyter environments\n", - "from IPython.display import Audio as IPythonAudio\n", - "# Createing an instance of the IPythonAudio class with two arguments:\n", - "IPythonAudio(#audio data array extracted from the example dictionary in a format that IPythonAudio can handle\n", - 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