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Dysfluencies Seldom Come Alone - Detection as a Multi-Label Problem., , , , , and . CoRR, (2022)Speaker Adaptation for End-To-End Speech Recognition Systems in Noisy Environments., , , , and . CoRR, (2022)Detecting Vocal Fatigue with Neural Embeddings., , , , and . CoRR, (2022)Detection of Vowel Errors in Children's Speech using Synthetic Phonetic Transcripts., , , , and . ASRU, page 1-8. IEEE, (2023)A Stutter Seldom Comes Alone - Cross-Corpus Stuttering Detection as a Multi-label Problem., , , , , , and . INTERSPEECH, page 1538-1542. ISCA, (2023)Initial Limit Datalog: a New Extensible Class of Decidable Constrained Horn Clauses., , , and . LICS, page 1-13. IEEE, (2021)Detecting Dysfluencies in Stuttering Therapy Using wav2vec 2.0., , , and . INTERSPEECH, page 2868-2872. ISCA, (2022)Optimization of feature interactions for automotive combustion engines., , , and . SAC, page 1401-1406. ACM, (2016)Diagonalisation SGD: Fast & Convergent SGD for Non-Differentiable Models via Reparameterisation and Smoothing., , and . AISTATS, volume 238 of Proceedings of Machine Learning Research, page 1801-1809. PMLR, (2024)Vocoder-Free Non-Parallel Conversion of Whispered Speech With Masked Cycle-Consistent Generative Adversarial Networks., , and . CoRR, (2023)