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license: apache-2.0 |
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fine-tune the pre-trained OpenAI Whisper model for audio classification in PyTorch. |
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Audio classification is an important task that can be applied in various scenarios, such as speech dialogue detection, sentiment analysis, music genre recognition, environmental sound identification, etc. |
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OpenAI Whisper is an excellent model for audio classification that achieved state-of-the-art results on several benchmarks. It is based on the transformer architecture and uses self-attention to process audio inputs. OpenAI Whisper can recognize speech and audio from different languages, accents, and domains with high accuracy and robustness. |
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classify various sounds by fine-tuning the OpenAI Whisper model from Hugging Face in the PyTorch deep learning library. load the pre-trained model, prepare a custom audio dataset, train the model on the dataset, and evaluate the model performance. |
