摩爾線程宣佈開源音頻理解大模型MooER
摩爾線程宣佈開源其音頻理解大模型MooER，成爲首個基於國產全功能GPU的大型開源語音模型。MooER支持中英文語音識別與翻譯，採用三部分模型結構，展現強大多語言處理能力。已開源推理代碼與5000小時數據訓練的模型，計劃進一步開源訓練代碼與8萬小時數據訓練的增強版。在對比測試中，MooER-5K表現出色，中文CER爲4.21%，英文WER爲17.98%，特別是在Covost2zh2en測試集上，BLEU分數高達25.2，領先其他開源模型。基於8萬小時數據訓練的MooER-80k模型，中文CER降至3.50%，英文WER優化到12.66%，顯示了巨大性能提升潛力。此次開源不僅展示了國產GPU在AI領域的應用實力，也爲全球音頻AI技術發展注入活力，期待MooER在語音識別、翻譯等領域帶來更多創新突破。
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