Chen, William, Meng, Chutong, Shi, Jiatong, Bartelds, Martijn, Wang, Shih-Heng, Wang, Hsiu-Hsuan, Mosquera, Rafael, Hincapie, Sara, Jurafsky, Dan, Anastasopoulos, Antonis, Lee, Hung-yi, Livescu, Karen, and Watanabe, Shinji. The ML-SUPERB 2.0 Challenge: Towards Inclusive ASR Benchmarking for All Language Varieties. Retrieved from https://par.nsf.gov/biblio/10653970. Web. doi:10.21437/Interspeech.2025-1013.

Chen, William, Meng, Chutong, Shi, Jiatong, Bartelds, Martijn, Wang, Shih-Heng, Wang, Hsiu-Hsuan, Mosquera, Rafael, Hincapie, Sara, Jurafsky, Dan, Anastasopoulos, Antonis, Lee, Hung-yi, Livescu, Karen, & Watanabe, Shinji. The ML-SUPERB 2.0 Challenge: Towards Inclusive ASR Benchmarking for All Language Varieties. Retrieved from https://par.nsf.gov/biblio/10653970. https://doi.org/10.21437/Interspeech.2025-1013

Chen, William, Meng, Chutong, Shi, Jiatong, Bartelds, Martijn, Wang, Shih-Heng, Wang, Hsiu-Hsuan, Mosquera, Rafael, Hincapie, Sara, Jurafsky, Dan, Anastasopoulos, Antonis, Lee, Hung-yi, Livescu, Karen, and Watanabe, Shinji. "The ML-SUPERB 2.0 Challenge: Towards Inclusive ASR Benchmarking for All Language Varieties". Country unknown/Code not available: ISCA. https://doi.org/10.21437/Interspeech.2025-1013. https://par.nsf.gov/biblio/10653970.

@article{osti_10653970,
place = {Country unknown/Code not available}, title = {The ML-SUPERB 2.0 Challenge: Towards Inclusive ASR Benchmarking for All Language Varieties}, url = {https://par.nsf.gov/biblio/10653970}, DOI = {10.21437/Interspeech.2025-1013}, abstractNote = {Not Available}, journal = {}, publisher = {ISCA}, author = {Chen, William and Meng, Chutong and Shi, Jiatong and Bartelds, Martijn and Wang, Shih-Heng and Wang, Hsiu-Hsuan and Mosquera, Rafael and Hincapie, Sara and Jurafsky, Dan and Anastasopoulos, Antonis and Lee, Hung-yi and Livescu, Karen and Watanabe, Shinji}, }