Dominik Wagner

Affiliations:
  • Technische Hochschule Nürnberg Georg Simon Ohm, Germany


According to our database1, Dominik Wagner authored at least 31 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition.
CoRR, May, 2025

FedSVD: Adaptive Orthogonalization for Private Federated Learning with LoRA.
CoRR, May, 2025

HarmAug: Effective Data Augmentation for Knowledge Distillation of Safety Guard Models.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Optimized Self-supervised Training with BEST-RQ for Speech Recognition.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

SELMA: A Speech-Enabled Language Model for Virtual Assistant Interactions.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

SafeRoute: Adaptive Model Selection for Efficient and Accurate Safety Guardrails in Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Generative adversarial networks for whispered to voiced speech conversion: a comparative study.
Int. J. Speech Technol., December, 2024

Personalizing Large Sequence-to-Sequence Speech Foundation Models With Speaker Representations.
Proceedings of the IEEE Spoken Language Technology Workshop, 2024

Automatic Evaluation of a Sentence Memory Test for Preschool Children.
Proceedings of the 25th Annual Conference of the International Speech Communication Association, 2024

Towards Self-Attention Understanding for Automatic Articulatory Processes Analysis in Cleft Lip and Palate Speech.
Proceedings of the 25th Annual Conference of the International Speech Communication Association, 2024

Outlier Reduction with Gated Attention for Improved Post-training Quantization in Large Sequence-to-sequence Speech Foundation Models.
Proceedings of the 25th Annual Conference of the International Speech Communication Association, 2024

Large Language Models for Dysfluency Detection in Stuttered Speech.
Proceedings of the 25th Annual Conference of the International Speech Communication Association, 2024

A Multimodal Approach to Device-Directed Speech Detection with Large Language Models.
Proceedings of the IEEE International Conference on Acoustics, 2024

Towards Interpretability of Automatic Phoneme Analysis in Cleft Lip and Palate Speech.
Proceedings of the IEEE International Conference on Acoustics, 2024

MMUTF: Multimodal Multimedia Event Argument Extraction with Unified Template Filling.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Optimized Speculative Sampling for GPU Hardware Accelerators.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
Multimodal Data and Resource Efficient Device-Directed Speech Detection with Large Foundation Models.
CoRR, 2023

Vocoder-Free Non-Parallel Conversion of Whispered Speech With Masked Cycle-Consistent Generative Adversarial Networks.
CoRR, 2023

Multi-class Detection of Pathological Speech with Latent Features: How does it perform on unseen data?
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

A Stutter Seldom Comes Alone - Cross-Corpus Stuttering Detection as a Multi-label Problem.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Influence of Utterance and Speaker Characteristics on the Classification of Children with Cleft Lip and Palate.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Speaker Adaptation for End-to-End Speech Recognition Systems in Noisy Environments.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

Detection of Vowel Errors in Children's Speech using Synthetic Phonetic Transcripts.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

2022
Dysfluencies Seldom Come Alone - Detection as a Multi-Label Problem.
CoRR, 2022

The Importance of Speech Stimuli for Pathologic Speech Classification.
CoRR, 2022

Detecting Vocal Fatigue with Neural Embeddings.
CoRR, 2022

The Influence of Dataset Partitioning on Dysfluency Detection Systems.
Proceedings of the Text, Speech, and Dialogue - 25th International Conference, 2022

Generative Models for Improved Naturalness, Intelligibility, and Voicing of Whispered Speech.
Proceedings of the IEEE Spoken Language Technology Workshop, 2022

Detecting Dysfluencies in Stuttering Therapy Using wav2vec 2.0.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Nonwords Pronunciation Classification in Language Development Tests for Preschool Children.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

2019
Latent representations of transaction network graphs in continuous vector spaces as features for money laundering detection.
Proceedings of the Studierendenkonferenz Informatik, 2019


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