An automatic proficiency evaluation method and apparatus for speech according to the present invention comprises the steps of: extracting voice feature data from input voice data; obtaining time-aligned character string information by performing forced alignment on input text data and the extracted speech feature data based on native speaker and non-native speaker acoustic models; and evaluating the fluency of the input voice data using the time-aligned character string information and a linear regression-based fluency score model. An objective of the present invention is to provide a system and method for evaluating the fluency of speaking by using an acoustic model trained with augmented data in the presence of a predetermined vocalization script (or vocal string).
Method and apparatus for automatic proficiency evaluation of speech