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West is an open source speech recognition transcription model that implements speech-to-text conversion based on a large language model (LLM) in a concise form of 300 lines of code. It consists of a large language model, a speech encoder and a projector, of which only the projector part is trainable. The development of WeST is inspired by SLAM-ASR and LLaMA 3.1, aiming to achieve efficient speech recognition functions through simplified code.
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