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20182026
most citedA comparison of recent waveform generation and acoustic modeling methods for neural-network-based speech synthesis

7 citations · 18 across the 31 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.CL2023★ 2 cited

XFEVER: Exploring Fact Verification across Languages

Yi-Chen Chang, Canasai Kruengkrai, Junichi Yamagishi

This paper introduces the Cross-lingual Fact Extraction and VERification (XFEVER) dataset designed for benchmarking the fact verification models across different languages. We cons…

cs.SD2023★ 1 cited

DDSP-based Neural Waveform Synthesis of Polyphonic Guitar Performance from String-wise MIDI Input

Nicolas Jonason, Xin Wang, Erica Cooper +3

We explore the use of neural synthesis for acoustic guitar from string-wise MIDI input. We propose four different systems and compare them with both objective metrics and subjectiv…

cs.SD2023

SynVox2: Towards a privacy-friendly VoxCeleb2 dataset

Xiaoxiao Miao, Xin Wang, Erica Cooper +5

The success of deep learning in speaker recognition relies heavily on the use of large datasets. However, the data-hungry nature of deep learning methods has already being question…

cs.CR2023

Spoofing attack augmentation: can differently-trained attack models improve generalisation?

Wanying Ge, Xin Wang, Junichi Yamagishi +2

A reliable deepfake detector or spoofing countermeasure (CM) should be robust in the face of unpredictable spoofing attacks. To encourage the learning of more generaliseable artefa…

eess.AS2023★ 2 cited

Can large-scale vocoded spoofed data improve speech spoofing countermeasure with a self-supervised front end?

Xin Wang, Junichi Yamagishi

A speech spoofing countermeasure (CM) that discriminates between unseen spoofed and bona fide data requires diverse training data. While many datasets use spoofed data generated by…