qbe_std: Detect queries in test items
In parledoct/sousrir: Search On Untranscribed Speech Rapidly In R

Detect queries in test items

qbe_std(
  queries_loc,
  references_loc,
  names_fetcher = fetch_npz_names,
  features_fetcher = fetch_npz_item,
  search_mf_maker = create_allcomb_df,
  post_processor = create_qbestd_df,
  nndtw_func = sousrir_1nndtw,
  ssdtw_func = sousrir_ssdtw,
  progress_bar = TRUE,
  use_multisession = TRUE
)

`queries_loc`	Location of queries (default: an npz file containing a named dictionary of NumPy feature matrices of shape TxF)
`references_loc`	Location of references (default: an npz file containing a named dictionary of NumPy feature matrices of shape TxF)
`names_fetcher`	A function that takes queries_loc/references_loc and returns the items contained in them (default: fetch_npz_names)
`features_fetcher`	A function that takes queries_loc/references_loc and an item name, and returns the features associated with that item (default: fetch_npz_item)
`search_mf_maker`	A function that takes the list of query and reference names and returns a two-column data frame with pairs of queries and references (default: create_allcomb_df)
`post_processor`	A function to process the search results (default: create_qbestd_df)
`nndtw_func`	A function to shortlist starting indices (default: sousrir_1nndtw)
`ssdtw_func`	A function to calculate a score of how likely a query occurs in a reference, given starting indices (default: sousrir_ssdtw)
`progress_bar`	Show progress bar while running search
`use_multisession`	Use future::multisession to run search using multiple R sessions in parallel