Table 4.

Examples of the transcript processing algorithm applied to transcribed recordings from six speakers with varying levels of articulatory ability.

Sample description	Ground truth buttercup count	Wav2DDK character-level transcript	Processed transcript	Estimated buttercup count
Healthy speaker	19	BUTERCUP BUTERCUP BUTERCOP BUTERCOP BUTERCOP BUTERCOP BUTERCOP BUTERCOP BUTERCOP BUTERCOP BUTERCOP BUTERCOP BUTERCOP BUTERCOP BUTERCOP BUTERCOP BUTERCOP BUTERCOP BTERCUP BUTE	BUTERCU BUTERCU BUTERCO BUTERCO BUTERCO BUTERCO BUTERCO BUTERCO BUTERCO BUTERCO BUTERCO BUTERCO BUTERCO BUTERCO BUTERCO BUTERCO BUTERCO BUTERCO BTERCU	19
Mild dysarthria	15	PBUTTERGOUP BUTTERGUP PUTTERGUP BUTTERGUP BUTTERGUP BUTTERGUP PUTTERCUP PUTTERGUP BUTTERGUP PUTTERCUP BUTERGUP UTTERGUP BUTTERCUP PUTTERGUP PBUTTERGUP PU	BUTERCOU BUTERCU PUTERCU BUTERCU BUTERCU BUTERCU PUTERCU PUTERCU BUTERCU PUTERCU BUTERCU UTERCU BUTERCU PUTERCU BUTERCUP	15
Moderate dysarthria	10	BOTOF BATOF BA CAOF BOTOF BANOF BARNOF BANUM MOT OF BANOF BANOF BANO	BOTOF BATOF BA CAOF BOTOF BANOF BARNOF BANU BOT OF BANOF BANOF BANO	10
Severe dysarthria	7	MUTTER GOT BUTTER GOT MUTER GOT MUTER OTMUTER GUT MUTER GOT MUTER GOUT	MUTER COT BUTER COT MUTER COT MUTER OTMUTER CUT MUTER COT MUTER COUT	6
Severe dysarthria	5	MINOR OP BINDER OM MINOR OM MINORO MINOR OP	BINOR OP BINDER OM MINOR OM BINORO BINOR OP	5

Note. Bolded letters indicate the landmark characters used to detect the count of the number of “buttercup” utterances in service of diadochokinetic (DDK) rate estimation.