process_corpus

process_corpus(corpus_path, entry_classes=['Word', 'Phone'], target_tier='Phone', target_labels='[AEIOU]', min_duration=0.05, min_max_formant=4000, max_max_formant=7000, nstep=20, n_formants=4, window_length=0.025, time_step=0.002, pre_emphasis_from=50, smoother=Smoother(), loss_fun=Loss(), agg_fun=Agg())

Given a directory to a corpus of audio/textgrid pairs, return candidates for all vowels.

Parameters

Name	Type	Description	Default
corpus_path	str | Path	A path to the corpus	required
entry_classes	list	Entry classes for the textgrid tiers. Defaults to [“Word”, “Phone”].	['Word', 'Phone']
target_tier	str	The tier to target. Defaults to “Phone”.	'Phone'
target_labels	str	A regex that will match intervals to target. Defaults to “[AEIOU]”.	'[AEIOU]'
min_duration	float	Minimum vowel duration to mention. Defaults to 0.05.	0.05
min_max_formant	float	The lowest max-formant value to try. Defaults to 4000.	4000
max_max_formant	float	The highest max formant to try. Defaults to 7000.	7000
nstep	int	The number of steps from the min to the max max formant. Defaults to 20.	20
n_formants	int	The number of formants to track. Defaults to 4.	4
window_length	float	Window length of the formant analysis. Defaults to 0.025.	0.025
time_step	float	Time step of the formant analyusis window. Defaults to 0.002.	0.002
pre_emphasis_from	float	Pre-emphasis threshold. Defaults to 50.	50
smoother	Smoother	The smoother method to use. Defaults to Smoother().	Smoother()
loss_fun	Loss	The loss function to use. Defaults to Loss().	Loss()
agg_fun	Agg	The loss aggregation function to use. Defaults to Agg().	Agg()

Returns

Type	Description
list[CandidateTracks]	A list of candidate tracks.