SubmissionNumber#=%=#25 FinalPaperTitle#=%=#Aspects of Selecting the Right ASR Training Languages for Under-Resourced Languages ShortPaperTitle#=%=# NumberOfPages#=%=#9 CopyrightSigned#=%=#J. Elizabeth Liebl JobTitle#==# Organization#==# Abstract#==#We investigate how training languages should be selected for cross-lingual IPA ASR on unseen languages. Using Common Voice audio and Vox Communis phonetic transcripts, we train multilingual IPA-based ASR models for Upper Sorbian, Luganda, and Tatar under three linguistically motivated selection strategies: genealogical relatedness, geographic proximity, and phonological inventory overlap. We compare these strategies to a random baseline and evaluate performance with phone error rate. Linguistically informed selection generally improves transfer, but no single strategy is consistently optimal. Geographic proximity performs best for Luganda, phonological overlap is slightly best for Tatar, and none of the proposed strategies outperform random selection for Upper Sorbian. The results suggest that linguistic similarity aids low-resource ASR transfer, but that the most useful dimension of similarity varies by target language. Author{1}{Firstname}#=%=#J. Elizabeth Author{1}{Lastname}#=%=#Liebl Author{1}{Username}#=%=#jliebl Author{1}{Orcid}#=%=# Author{1}{Email}#=%=#jliebl@gmu.edu Author{1}{Affiliation}#=%=#George Mason University Author{2}{Firstname}#=%=#Summer Author{2}{Lastname}#=%=#Chambers Author{2}{Username}#=%=#schamb3 Author{2}{Orcid}#=%=# Author{2}{Email}#=%=#schamb3@gmu.edu Author{2}{Affiliation}#=%=#George Mason University Author{3}{Firstname}#=%=#Matthew C. Author{3}{Lastname}#=%=#Kelley Author{3}{Username}#=%=#mckelley Author{3}{Orcid}#=%=#https://orcid.org/0000-0002-7218-5599 Author{3}{Email}#=%=#mkelle21@gmu.edu Author{3}{Affiliation}#=%=#George Mason University Author{4}{Firstname}#=%=#Géraldine Author{4}{Lastname}#=%=#Walther Author{4}{Username}#=%=#gwalther Author{4}{Orcid}#=%=#https://orcid.org/0000-0001-8368-7300 Author{4}{Email}#=%=#gwalthe@gmu.edu Author{4}{Affiliation}#=%=#George Mason University ========== èéáğö