abbfdc5b04ec1824e42cebb472626d234ff7bd36,scripts/speaker_embedding.py,,test,#Any#Any#Any#Any#Any#,383

Before Change

    X, y = generate_test(protocol, subset, feature_extraction,
                         duration, min_duration=min_duration)
    fX = sequence_embedding.transform(X, batch_size=batch_size)
    if distance == "angular":
        cosine_distance = pdist(fX, metric="cosine")
        y_distance = np.arccos(np.clip(1.0 - cosine_distance, -1.0, 1.0))
    else:
        y_distance = pdist(fX, metric=distance)
    y_true = pdist(y, metric="chebyshev") < 1

    fpr, tpr, thresholds = sklearn.metrics.roc_curve(
        y_true, -y_distance, pos_label=True, drop_intermediate=True)

After Change

    for key, preprocessor in config.get("preprocessors", {}).items():
        preprocessor_name = preprocessor["name"]
        preprocessor_params = preprocessor.get("params", {})
        preprocessors = __import__("pyannote.audio.preprocessors",
                                   fromlist=[preprocessor_name])
        Preprocessor = getattr(preprocessors, preprocessor_name)
        protocol.preprocessors[key] = Preprocessor(**preprocessor_params)

    // -- FEATURE EXTRACTION --

Instances