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cs.SD2024
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…
eess.AS2024
A Dual-Path Framework with Frequency-and-Time Excited Network for Anomalous Sound Detection
Yucong Zhang, Juan Liu, Yao Tian +2
In contrast to human speech, machine-generated sounds of the same type often exhibit consistent frequency characteristics and discernible temporal periodicity. However, leveraging…
eess.AS2024★ 1 cited
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…