[Draft] [TTS] Evaluation: Batch the ASR; refactor for parallelization

examples/tts/magpietts_inference.py

@@ -308,8 +308,10 @@ def run_inference_and_evaluation(
             with open(os.path.join(eval_dir, f"{dataset}_metrics_{repeat_idx}.json"), "w") as f:
                 json.dump(metrics, f, indent=4)
 
+            # Sort by CER descending for human-readable output (highest error first)
+            sorted_filewise = sorted(filewise_metrics, key=lambda x: x.get('cer', 0), reverse=True)
             with open(os.path.join(eval_dir, f"{dataset}_filewise_metrics_{repeat_idx}.json"), "w") as f:
-                json.dump(filewise_metrics, f, indent=4)
+                json.dump(sorted_filewise, f, indent=4)
 
             # Append to per-run CSV
             append_metrics_to_csv(per_run_csv, full_checkpoint_name, dataset, metrics)