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Multidisciplinary Perspectives on Automatic Analysis of Children’s Language Samples: Where Do We Go from Here?

, , , , , , , and . Folia Phoniatrica et Logopaedica, 75 (1): 1--12 (2023)

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Mobile Assisted Language Learning Applications for Health Care Sciences Students: A User Experience Study., , and . HCI (27), volume 618 of Communications in Computer and Information Science, page 287-292. Springer, (2016)A comparison of LPC and FFT-based acoustic features for noise robust ASR., , , and . INTERSPEECH, page 865-868. ISCA, (2001)Automatic transcription of football commentaries in the MUMIS project., , , , , and . INTERSPEECH, page 1853-1856. ISCA, (2003)Multilingual Neural Network Acoustic Modelling for ASR of Under-Resourced English-isiZulu Code-Switched Speech., , , , and . INTERSPEECH, page 2603-2607. ISCA, (2018)The Speect text-to-speech system entry for the Blizzard Challenge 2013., , , , and . Blizzard Challenge, ISCA, (2013)Multidisciplinary Perspectives on Automatic Analysis of Children’s Language Samples: Where Do We Go from Here?, , , , , , , and . Folia Phoniatrica et Logopaedica, 75 (1): 1--12 (2023)Additive background noise as a source of non-linear mismatch in the cepstral and log-energy domain., , , and . Comput. Speech Lang., 19 (1): 31-54 (2005)Semi-supervised acoustic and language model training for English-isiZulu code-switched speech recognition., , , and . CodeSwitch@LREC, page 52-56. European Language Resources Association, (2020)Evaluation of formant-like features for ASR., , , , , and . INTERSPEECH, page 2101-2104. ISCA, (2002)Feature vector selection to improve ASR robustness in noisy conditions., , , , , , and . INTERSPEECH, page 201-204. ISCA, (2001)