13 citations · 33 across the 21 of their papers we have counts for
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cs.LG2021
Fairness and underspecification in acoustic scene classification: The case for disaggregated evaluations
Andreas Triantafyllopoulos, Manuel Milling, Konstantinos Drossos +1
Underspecification and fairness in machine learning (ML) applications have recently become two prominent issues in the ML community. Acoustic scene classification (ASC) application…
cs.SD2021★ 9 cited
On the Impact of Word Error Rate on Acoustic-Linguistic Speech Emotion Recognition: An Update for the Deep Learning Era
Shahin Amiriparian, Artem Sokolov, Ilhan Aslan +9
Text encodings from automatic speech recognition (ASR) transcripts and audio representations have shown promise in speech emotion recognition (SER) ever since. Yet, it is challengi…