Add pipeline benchmarking script - #14
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Replaces the old mixture_map.csv with a new format and location, and removes the pipeline_benchmark.py example script. The AudioSeparator class is simplified by removing the speaker count detection logic and related dependencies, streamlining the separation process. Also updates default Whisper model to 'large-v3' and beam size to 3 in constants.
重構 pipeline_eval.py，改善 CER 計算與預測分配邏輯 新增 examples/stats_summarizer.py，用於彙整與總結 pipeline 評估指標 更新 WhisperASR 預設語言為中文 (zh) 優化 orchestrator.py 的模組初始化邏輯，增加向下相容性 調整語者辨識的閾值，並在 constants.py 更新 Whisper 的預設模型
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Summary
pipeline_benchmark.pyexample for running separation, speaker ID, and ASR in a batchTesting
python -m py_compile examples/pipeline_benchmark.pyhttps://chatgpt.com/codex/tasks/task_e_688a4bf05164832a80ecef249334ea18