小紅書開源的語音識別模型FireRedASR，中文識別準確率優越
在語音識別領域，中文識別的技術發展一直備受關注。近日，小紅書的 FireRed 團隊發佈了一個全新的開源語音識別模型 ——FireRedASR。這個基於大模型的語音識別系統在多個標準測試集上取得了優異的成績，標誌着中文語音識別技術的一次重大突破。FireRedASR 的核心指標是字錯誤率（CER），該指標越低，表示模型的識別效果越好。在最近的公開測試中，FireRedASR 的 CER 達到了3.05%，較之前的最佳模型 Seed-ASR 降低了8.4%。這一結果顯示出 FireRed 團隊在語音識別技術上的創新能力。FireRedASR 模型分
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