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It provides recipes and pretrained models for speech recognition, speaker verification, speech enhancement, speech separation, language modeling, and text-to-speech across 40+ datasets.\n\n## Installation\n\nUse the upstream install or setup path that matches your environment:\n- pip install speechbrain\n- git clone https://github.com/speechbrain/speechbrain.git\n- pip install -r requirements.txt\n- pip install --editable .\n\nRequirements and caveats from upstream:\n- python\n- python train.py hparams/train.yaml\n- The hyperparameters are encapsulated in a YAML file, while the training process is orchestrated through a Python script.\n\nBasic usage or getting-started notes:\n- asr_model.transcribe_file(\"speechbrain/asr-conformer-transformerlm-librispeech/example.wav\")\n- Every class or function has clear explanations and examples that you can run. 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