WhisperChain的文本优化引擎采用两级过滤机制：初级过滤基于概率模型识别常见的填充词（如”嗯””啊”等），高级过滤则通过上下文语义分析判断冗余内容。实测数据显示，对于普通会议录音，系统能消除92.3%的口语干扰词，同时保留98%的有效信息。优化算法特别设计了语境感知模块，能区分必须保留的语气词（如强调性”呃”）与纯干扰词。用户可通过refine_config.yaml配置文件调整过滤强度，设置特殊词保护名单，实现个性化文本处理。
This answer comes from the articleWhisperChain: real-time speech-to-text and optimization of spoken wordsThe
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