We propose a rapid adaptation of FAVE-Align to the Nordic languages, and we offer our own adaptation to Swedish as a template. This study is motivated by the fact that researchers of lesser-studied languages often neither have sufficient speech material nor sufficient time to train a forced aligner. Faced with a similar problem, we made a limited number of surface changes to FAVE-Align so that it – along with its original hidden Markov models for English – could be used on Stockholm Swedish. We tested the performance of this prototype on the three main sociolects of Stockholm Swedish and found that read-aloud alignments met all of the minimal benchmarks set by the literature. Spontaneous-speech alignments met three of the four minimal benchmarks. We conclude that an adaptation such as ours would especially suit laboratory experiments in Nordic phonetics that rely on elicited speech.
