1 citations · 2 across the 7 of their papers we have counts for
8 papers
What Makes Codec Tokens Effective for Target Speaker Extraction? A Semantic-Acoustic Disentanglement Perspective
Wang Xiang, Bang Zeng, Ming Li
Target speaker extraction (TSE) aims to recover a target speaker's speech from a speech mixture using an enrollment utterance. Recent codec-based generative approaches formulate TS…
Discriminative-Generative Target Speaker Extraction with Decoder-Only Language Models
Bang Zeng, Beilong Tang, Wang Xiang +1
Target speaker extraction (TSE) aims to recover the speech of a desired speaker from a mixture given a short enrollment utterance, while speech enhancement (SE) focuses on improvin…
Robust Audio-Visual Target Speaker Extraction with Emotion-Aware Multiple Enrollment Fusion
Zhan Jin, Bang Zeng, Peijun Yang +5
Audio-Visual Target Speaker Extraction (AVTSE) is crucial for cocktail party scenarios. Leveraging multiple cues --such as utterance-level speaker embeddings or steady face images,…
LauraTSE: Target Speaker Extraction using Auto-Regressive Decoder-Only Language Models
Beilong Tang, Bang Zeng, Ming Li
We propose LauraTSE, an Auto-Regressive Decoder-Only Language Model for Target Speaker Extraction built upon the LauraGPT backbone. LauraTSE employs a small-scale auto-regressive d…
Universal Speaker Embedding Free Target Speaker Extraction and Personal Voice Activity Detection
Bang Zeng, Ming Li
Determining 'who spoke what and when' remains challenging in real-world applications. In typical scenarios, Speaker Diarization (SD) is employed to address the problem of 'who spok…
TSELM: Target Speaker Extraction using Discrete Tokens and Language Models
Beilong Tang, Bang Zeng, Ming Li
We propose TSELM, a novel target speaker extraction network that leverages discrete tokens and language models. TSELM utilizes multiple discretized layers from WavLM as input token…
USEF-TSE: Universal Speaker Embedding Free Target Speaker Extraction
Bang Zeng, Ming Li
Target speaker extraction aims to separate the voice of a specific speaker from mixed speech. Traditionally, this process has relied on extracting a speaker embedding from a refere…
Simultaneous Speech Extraction for Multiple Target Speakers under the Meeting Scenarios
Bang Zeng, Hongbing Suo, Yulong Wan +1
The common target speech separation directly estimate the target source, ignoring the interrelationship between different speakers at each frame. We propose a multiple-target speec…