Goeric Huybrechts

Orcid: 0000-0003-0222-3008

According to our database1, Goeric Huybrechts authored at least 13 papers between 2018 and 2024.

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

Timeline

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Bibliography

2024
SpeechGuard: Exploring the Adversarial Robustness of Multimodal Large Language Models.
CoRR, 2024

SpeechGuard: Exploring the Adversarial Robustness of Multi-modal Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Dynamic Chuck Convolution for Unified Streaming And Non-streaming Conformer ASR.
CoRR, 2023

DCTX-Conformer: Dynamic context carry-over for low latency unified streaming and non-streaming Conformer.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Dynamic Chunk Convolution for Unified Streaming and Non-Streaming Conformer ASR.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Low-data? No problem: low-resource, language-agnostic conversational text-to-speech via F0-conditioned data augmentation.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Cross-Speaker Style Transfer for Text-to-Speech Using Data Augmentation.
Proceedings of the IEEE International Conference on Acoustics, 2022

Voice Filter: Few-Shot Text-to-Speech Speaker Adaptation Using Voice Conversion as a Post-Processing Module.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Non-Autoregressive TTS with Explicit Duration Modelling for Low-Resource Highly Expressive Speech.
Proceedings of the 11th ISCA Speech Synthesis Workshop, 2021

EmoCat: Language-agnostic Emotional Voice Conversion.
Proceedings of the 11th ISCA Speech Synthesis Workshop, 2021

Low-Resource Expressive Text-To-Speech Using Data Augmentation.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Voice Conversion for Whispered Speech Synthesis.
IEEE Signal Process. Lett., 2020

2018
Traditional Machine Learning for Pitch Detection.
IEEE Signal Process. Lett., 2018


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