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Functions13 in github.com/Fraunhofer-IIS/ODAQ

⨍ Functions 13◇ Types & classes 0
↓ 2 callersFunctionplot_and_correlate
(df_filtered, experiment_name)
benchmark/ProcessAndAnalyzeODAQScores.py:89
↓ 1 callersFunctionadd_objective_score_to_pooled_df
(pooled_df, objective_scores)
benchmark/ProcessAndAnalyzeODAQScores.py:137
↓ 1 callersFunctioncalculate_confidence_interval
Calculate the 95% confidence interval for a dataset.
benchmark/ProcessAndAnalyzeODAQScores.py:206
↓ 1 callersFunctioncalculate_objective_score
(result_table, folder_path)
benchmark/ProcessAndAnalyzeODAQScores.py:104
↓ 1 callersFunctioncalculate_pesq
Load audio files and runs PESQ on them. This function performs mono downmix while loading the audio files! Args: sut_path: str,
benchmark/BringYourOwnMetric.py:14
↓ 1 callersFunctioncalculate_sisdr
A simple function for calculating SI-SDR (adapted from https://github.com/sigsep/bsseval/issues/3) This function performs mono downmix while
benchmark/BringYourOwnMetric.py:35
↓ 1 callersFunctioncall_metric
To evaluate your own metric, please import your own method here :param ref_file: str, filepath to a reference signal :param test_file: st
benchmark/ProcessAndAnalyzeODAQScores.py:21
↓ 1 callersFunctioncheck_output_path
(output_dir)
benchmark/ProcessAndAnalyzeODAQScores.py:257
↓ 1 callersFunctionmain
()
benchmark/ProcessAndAnalyzeODAQScores.py:263
↓ 1 callersFunctionparseMUSHRAxmlODAQ
(folder_paths)
benchmark/ProcessAndAnalyzeODAQScores.py:147
↓ 1 callersFunctionplot_scatter_with_correlation
(df, experiment_name=None)
benchmark/ProcessAndAnalyzeODAQScores.py:74
↓ 1 callersFunctionpool_table
Pools the DataFrame into a new table with calculated mean, confidence interval, and standard deviation.
benchmark/ProcessAndAnalyzeODAQScores.py:216
↓ 1 callersFunctionsummarize_correlations
(df)
benchmark/ProcessAndAnalyzeODAQScores.py:41