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20232026
most citedAudio-Visual Target Speaker Extraction with Reverse Selective Auditory Attention

1 citations · 2 across the 12 of their papers we have counts for

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6 papers · 1 filter

cs.SD2024

Flow-TSVAD: Target-Speaker Voice Activity Detection via Latent Flow Matching

Zhengyang Chen, Bing Han, Shuai Wang +2

Speaker diarization is typically considered a discriminative task, using discriminative approaches to produce fixed diarization results. In this paper, we explore the use of neural…

eess.AS2024

WavTokenizer: an Efficient Acoustic Discrete Codec Tokenizer for Audio Language Modeling

Shengpeng Ji, Ziyue Jiang, Wen Wang +14

Language models have been effectively applied to modeling natural signals, such as images, video, speech, and audio. A crucial component of these models is the codec tokenizer, whi…

eess.AS2024

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…

eess.AS2024★ 1 cited

Target Speech Diarization with Multimodal Prompts

Yidi Jiang, Ruijie Tao, Zhengyang Chen +2

Traditional speaker diarization seeks to detect ``who spoke when'' according to speaker characteristics. Extending to target speech diarization, we detect ``when target event occur…

eess.AS2024★ 1 cited

Audio-Visual Target Speaker Extraction with Reverse Selective Auditory Attention

Ruijie Tao, Xinyuan Qian, Yidi Jiang +3

Audio-visual target speaker extraction (AV-TSE) aims to extract the specific person's speech from the audio mixture given auxiliary visual cues. Previous methods usually search for…

eess.AS2024

Voice Conversion Augmentation for Speaker Recognition on Defective Datasets

Ruijie Tao, Zhan Shi, Yidi Jiang +2

Modern speaker recognition system relies on abundant and balanced datasets for classification training. However, diverse defective datasets, such as partially-labelled, small-scale…