from sbvoicedb import sbvoicedb

# to create a database instance
sbvoicedb = sbvoicedb.SbVoiceDb('<path to the root directory of the extracted database>')
# - if no downloaded database data found, it'll automatically download the database (not files)

# to query the recording session entries which are pathological, female, between 50-69 yrs old
df = sbvoicedb.query(T='p', G='w', A=[50,70])

# to get a dataframe of WAV files and start and ending audio sample indices of
# all normal-pitch /a/ segments
df = sbvoicedb.get_files('a_n')

# to get the audio data of /a/ vowel at normal pitch from the recording session 2091
fs, x = sbvoicedb.read_data(2091, 'a_n')

# to iterate over 'a_n' acoustic data of male participants along with aux with age and pathologies
for id, fs, x, auxdata in sbvoicedb.iter_data('a_n',
                                    auxdata_fields=["A","Pathologies"],
                                    G="m"):
  # run the acoustic data through your analysis function, get measurements
  params = my_analysis_function(fs, x)

  # log the measurements along with aux data
  my_logger.log_outcome(id, *auxdata, *params)