… work usingdiscriminative large-margin algorithms to measure … We then describe a basic structured model using an RNN as … (Note the AutoVOT model is limited to the positive case only, …
… literature review of the works usingAutoVOT, a discriminative … AutoVOT is a discriminative large-margin learning algorithm … keeping in mind a modular software structure. This allows it to …
E Buz, A Buchwald, T Fuchs… - International Journal of …, 2018 - Taylor & Francis
… Here, we evaluate how well one automatic annotation tool, AutoVOT… In this article, we consider measurement of voiceonsettime (… discriminativestructured prediction. The Journal of the …
E Chodroff, J Godfrey, S Khudanpur… - ICPhS, 2015 - internationalphoneticassociation.org
… AutoVOT: A tool for automaticmeasurement of voiceonsettimeusingdiscriminative structured … Version 0.91, retrieved November 2014 from https://github.com/mlml/autovot/. [14] …
… AutoVOT: A tool for automaticmeasurement of voiceonsettimeusingdiscriminativestructured … Version 0.91, retrieved August 2014 from https://github.com/mlml/autovot/. [16] Kuhl, PK, & …
E Chodroff, L Bradshaw, V Livesay - Journal of Child Language, 2023 - cambridge.org
… AutoVOT: a tool for automaticmeasurement of voiceonsettimeusingdiscriminativestructured … Version 0.91, retrieved August 2014 from https://github.com/mlml/autovot/. Kewley-Port, D.,…
… that was automatically predicted. Predictions from AutoVOT were corrected for 2,121 voiceless stops, which accounts for approximately 12.2% of the total predicted VOT measurements. …