Zobrazeno 1 - 10
of 8 233
pro vyhledávání: '"Hansen, P. H"'
Autor:
Wang, Zhenyu, Hansen, John H. L.
Publikováno v:
IEEE ACCESS 2024
Advances in automatic speaker verification (ASV) promote research into the formulation of spoofing detection systems for real-world applications. The performance of ASV systems can be degraded severely by multiple types of spoofing attacks, namely, s
Externí odkaz:
http://arxiv.org/abs/2408.13341
Autor:
Dutta, Satwik, Hansen, John H. L.
Privacy is a hot topic for policymakers across the globe, including the United States. Evolving advances in AI and emerging concerns about the misuse of personal data have pushed policymakers to draft legislation on trustworthy AI and privacy protect
Externí odkaz:
http://arxiv.org/abs/2407.19677
In speech synthesis, modeling of rich emotions and prosodic variations present in human voice are crucial to synthesize natural speech. Although speaker embeddings have been widely used in personalized speech synthesis as conditioning inputs, they ar
Externí odkaz:
http://arxiv.org/abs/2407.04291
The accelerated expansion of the Universe is impressively well described by a cosmological constant. However, the observed value of the cosmological constant is much smaller than expected based on quantum field theories. Recent efforts to achieve con
Externí odkaz:
http://arxiv.org/abs/2406.15390
Autor:
Hansen, Lasse H., Jensen, Simon B., Philipsen, Mark P., Møgelmose, Andreas, Bodum, Lars, Moeslund, Thomas B.
Identifying and classifying underground utilities is an important task for efficient and effective urban planning and infrastructure maintenance. We present OpenTrench3D, a novel and comprehensive 3D Semantic Segmentation point cloud dataset, designe
Externí odkaz:
http://arxiv.org/abs/2404.07711
Autor:
Sang, Mufan, Hansen, John H. L.
With excellent generalization ability, self-supervised speech models have shown impressive performance on various downstream speech tasks in the pre-training and fine-tuning paradigm. However, as the growing size of pre-trained models, fine-tuning be
Externí odkaz:
http://arxiv.org/abs/2403.00293
Arrays of bioinspired artificial hair-cell airflow velocity sensors can enable flight-by-feel of small, unmanned aircraft. Natural fliers - bats, insects, and birds - have hundred or thousands of velocity sensors distributed across their wings. Aircr
Externí odkaz:
http://arxiv.org/abs/2312.14228
Autor:
Li, Zhen, Hansen, Steen H.
Understanding the nature of dark matter is among the top priorities of modern physics. However, due to its inertness, detecting and studying it directly in terrestrial experiments is extremely challenging. Numerical N-body simulations currently repre
Externí odkaz:
http://arxiv.org/abs/2312.12304
Without the need for a clean reference, non-intrusive speech assessment methods have caught great attention for objective evaluations. While deep learning models have been used to develop non-intrusive speech assessment methods with promising results
Externí odkaz:
http://arxiv.org/abs/2311.08878
Autor:
Xie, Jiamin, Hansen, John H. L.
In this paper, we present MixRep, a simple and effective data augmentation strategy based on mixup for low-resource ASR. MixRep interpolates the feature dimensions of hidden representations in the neural network that can be applied to both the acoust
Externí odkaz:
http://arxiv.org/abs/2310.18450