虽然Gimine 2.5 Pro具备基础的语音转写能力，但其技术架构更侧重多模态理解和生成任务。在处理纯音频转录场景时，模型存在显著的性能瓶颈：处理时长与音频长度呈非线性增长关系，超过30分钟的内容可能导致响应延迟增加300%；长音频的中间部分识别准确率下降明显，末段内容较首段错误率高22%。这些技术特征表明，专门设计的ASR系统更适合长时间语音转录，而Gimine 2.5 Pro的最佳应用场景应聚焦在15分钟内的视频字幕生成、多语言短内容转录等轻量级任务，这与其模型参数量和计算优化策略相匹配。
This answer comes from the articleConverting video, voice to SRT subtitles using Gimine 2.5 Pro modelThe
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