activity
20182026
most citedSelf-Attention Transducers for End-to-End Speech Recognition

85 citations · 410 across the 77 of their papers we have counts for

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Showing 2024Show all

16 papers · 1 filter

cs.SD2024

Region-Based Optimization in Continual Learning for Audio Deepfake Detection

Yujie Chen, Jiangyan Yi, Cunhang Fan +10

Rapid advancements in speech synthesis and voice conversion bring convenience but also new security risks, creating an urgent need for effective audio deepfake detection. Although…

cs.SD2024

Reject Threshold Adaptation for Open-Set Model Attribution of Deepfake Audio

Xinrui Yan, Jiangyan Yi, Jianhua Tao +6

Open environment oriented open set model attribution of deepfake audio is an emerging research topic, aiming to identify the generation models of deepfake audio. Most previous work…

cs.HC2024★ 1 cited

OV-MER: Towards Open-Vocabulary Multimodal Emotion Recognition

Zheng Lian, Haiyang Sun, Licai Sun +13

Multimodal Emotion Recognition (MER) is a critical research area that seeks to decode human emotions from diverse data modalities. However, existing machine learning methods predom…

cs.SD2024

WMCodec: End-to-End Neural Speech Codec with Deep Watermarking for Authenticity Verification

Junzuo Zhou, Jiangyan Yi, Yong Ren +3

Recent advances in speech spoofing necessitate stronger verification mechanisms in neural speech codecs to ensure authenticity. Current methods embed numerical watermarks before co…

cs.SD2024

Utilizing Speaker Profiles for Impersonation Audio Detection

Hao Gu, JiangYan Yi, Chenglong Wang +5

Fake audio detection is an emerging active topic. A growing number of literatures have aimed to detect fake utterance, which are mostly generated by Text-to-speech (TTS) or voice c…

cs.SD2024

Enhancing Partially Spoofed Audio Localization with Boundary-aware Attention Mechanism

Jiafeng Zhong, Bin Li, Jiangyan Yi

The task of partially spoofed audio localization aims to accurately determine audio authenticity at a frame level. Although some works have achieved encouraging results, utilizing…