voxseg_/extract_feats.py
def _get_mean_std(group: pd.core.groupby) -> pd.DataFrame:
    '''Auxiliary function used by normalize(). Calculates mean and standard deviation of a
    group of features.

    Args:
        group: A pd.GroupBy object referencing the features of a single wavefile (could be
        from multiple utterances).

    Returns:
        A pd.DataFrame with the mean and standard deviation of the group of features.
    '''

    return pd.DataFrame({'mean': [np.mean(np.vstack(group.to_numpy()))],
                         'std': [np.std(np.vstack(group.to_numpy()))]})
Auxiliary function used by normalize(). Calculates mean and standard deviation of a
    group of features.

    Args:
        group: A pd.GroupBy object referencing the features of a single wavefile (could be
        from multiple utterances).

    Returns:
        A pd.DataFrame with the mean and standard deviation of the group of features.
    
Auxiliary function used by normalize(). Calculates mean and standard deviation of a
group of features.

A pd.GroupBy object referencing the features of a single wavefile (could be
from multiple utterances).

A pd.DataFrame with the mean and standard deviation of the group of features.
Auxiliary function used by normalize () . Calculates mean and standard deviation of a group of features . A pd . GroupBy object referencing the features of a single wavefile ( could be from multiple utterances ) . A pd . DataFrame with the mean and standard deviation of the group of features .
def _get_mean_std(group: pd.core.groupby) -> pd.DataFrame:
    return pd.DataFrame({'mean': [np.mean(np.vstack(group.to_numpy()))],
                         'std': [np.std(np.vstack(group.to_numpy()))]})
def _get_mean_std ( group : pd . core . groupby ) -> pd . DataFrame : return pd . DataFrame ( { 'mean' : [ np . mean ( np . vstack ( group . to_numpy ( ) ) ) ] , 'std' : [ np . std ( np . vstack ( group . to_numpy ( ) ) ) ] } )
Auxiliary function used by normalize().
Auxiliary function used by normalize () .
'''Auxiliary function used by normalize(). Calculates mean and standard deviation of a
    group of features.

    Args:
        group: A pd.GroupBy object referencing the features of a single wavefile (could be
        from multiple utterances).

    Returns:
        A pd.DataFrame with the mean and standard deviation of the group of features.
    '''
group
pd.core.groupby