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pro vyhledávání: '"Toda, A."'
Automatic music transcription (AMT), aiming to convert musical signals into musical notation, is one of the important tasks in music information retrieval. Recently, previous works have applied high-resolution labels, i.e., the continuous onset and o
Externí odkaz:
http://arxiv.org/abs/2409.19614
Developing a robust speech emotion recognition (SER) system in noisy conditions faces challenges posed by different noise properties. Most previous studies have not considered the impact of human speech noise, thus limiting the application scope of S
Externí odkaz:
http://arxiv.org/abs/2409.19585
Autor:
Pădurariu, Tudor, Toda, Yukinobu
In a previous paper, we introduced quasi-BPS categories for moduli stacks of semistable Higgs bundles. Under a certain condition on the rank, Euler characteristic, and weight, the quasi-BPS categories (called BPS in this case) are non-commutative ana
Externí odkaz:
http://arxiv.org/abs/2409.10800
In anomalous sound detection, the discriminative method has demonstrated superior performance. This approach constructs a discriminative feature space through the classification of the meta-information labels for normal sounds. This feature space ref
Externí odkaz:
http://arxiv.org/abs/2409.09332
Autor:
Huang, Wen-Chin, Fu, Szu-Wei, Cooper, Erica, Zezario, Ryandhimas E., Toda, Tomoki, Wang, Hsin-Min, Yamagishi, Junichi, Tsao, Yu
We present the third edition of the VoiceMOS Challenge, a scientific initiative designed to advance research into automatic prediction of human speech ratings. There were three tracks. The first track was on predicting the quality of ``zoomed-in'' hi
Externí odkaz:
http://arxiv.org/abs/2409.07001
Autor:
Nakao, Masato, Hamamoto, Kensei, Tsunoda, Masateru, Tahir, Amjed, Toda, Koji, Monden, Akito, Nakasai, Keitaro, Matsumoto, Kenichi
Developers must select a high-performance fault localization (FL) technique from available ones. A conventional approach is to try to select only one FL technique that is expected to attain high performance before debugging activity. In contrast, we
Externí odkaz:
http://arxiv.org/abs/2409.06268
Autor:
Hamamoto, Kensei, Tsunoda, Masateru, Tahir, Amjed, Bennin, Kwabena Ebo, Monden, Akito, Toda, Koji, Nakasai, Keitaro, Matsumoto, Kenichi
Ensemble learning methods have been used to enhance the reliability of defect prediction models. However, there is an inconclusive stability of a single method attaining the highest accuracy among various software projects. This work aims to improve
Externí odkaz:
http://arxiv.org/abs/2409.06264
Current cosmological observations allow for deviations from the standard growth of large-scale structures in the universe. These deviations could indicate modifications to General Relativity on cosmological scales or suggest the dynamical nature of d
Externí odkaz:
http://arxiv.org/abs/2408.16388
Autor:
Geloso, Vincent, Toda, Alexis Akira
American income inequality, generally estimated with tax data, in the 20th century is widely recognized to have followed a U-curve, though debates persist over the extent of this curve, specifically regarding how high the peaks are and how deep the t
Externí odkaz:
http://arxiv.org/abs/2408.16861
With the advancements in singing voice generation and the growing presence of AI singers on media platforms, the inaugural Singing Voice Deepfake Detection (SVDD) Challenge aims to advance research in identifying AI-generated singing voices from auth
Externí odkaz:
http://arxiv.org/abs/2408.16132