34 citations · 34 across the 10 of their papers we have counts for
10 papers
CueNet: Robust Audio-Visual Speaker Extraction through Cross-Modal Cue Mining and Interaction
Jiadong Wang, Ke Zhang, Xinyuan Qian +3
Audio-visual speaker extraction has attracted increasing attention, as it removes the need for pre-registered speech and leverages the visual modality as a complement to audio. Alt…
Leveraging Language Information for Target Language Extraction
Mehmet Sinan Yıldırım, Ruijie Tao, Wupeng Wang +2
Target Language Extraction aims to extract speech in a specific language from a mixture waveform that contains multiple speakers speaking different languages. The human auditory sy…
Addressing Gradient Misalignment in Data-Augmented Training for Robust Speech Deepfake Detection
Duc-Tuan Truong, Tianchi Liu, Junjie Li +3
In speech deepfake detection (SDD), data augmentation (DA) is commonly used to improve model generalization across varied speech conditions and spoofing attacks. However, during tr…
QAMO: Quality-aware Multi-centroid One-class Learning For Speech Deepfake Detection
Duc-Tuan Truong, Tianchi Liu, Ruijie Tao +3
Recent work shows that one-class learning can detect unseen deepfake attacks by modeling a compact distribution of bona fide speech around a single centroid. However, the single-ce…
Interpolating Speaker Identities in Embedding Space for Data Expansion
Tianchi Liu, Ruijie Tao, Qiongqiong Wang +5
The success of deep learning-based speaker verification systems is largely attributed to access to large-scale and diverse speaker identity data. However, collecting data from more…
I2TTS: Image-indicated Immersive Text-to-speech Synthesis with Spatial Perception
Jiawei Zhang, Tian-Hao Zhang, Jun Wang +3
Controlling the style and characteristics of speech synthesis is crucial for adapting the output to specific contexts and user requirements. Previous Text-to-speech (TTS) works hav…
Unified Audio Event Detection
Yidi Jiang, Ruijie Tao, Wen Huang +2
Sound Event Detection (SED) detects regions of sound events, while Speaker Diarization (SD) segments speech conversations attributed to individual speakers. In SED, all speaker seg…
Multi-Stage Face-Voice Association Learning with Keynote Speaker Diarization
Ruijie Tao, Zhan Shi, Yidi Jiang +4
The human brain has the capability to associate the unknown person's voice and face by leveraging their general relationship, referred to as ``cross-modal speaker verification''. T…
A Benchmark for Multi-speaker Anonymization
Xiaoxiao Miao, Ruijie Tao, Chang Zeng +1
Privacy-preserving voice protection approaches primarily suppress privacy-related information derived from paralinguistic attributes while preserving the linguistic content. Existi…
Temporal-Channel Modeling in Multi-head Self-Attention for Synthetic Speech Detection
Duc-Tuan Truong, Ruijie Tao, Tuan Nguyen +3
Recent synthetic speech detectors leveraging the Transformer model have superior performance compared to the convolutional neural network counterparts. This improvement could be du…