Target Speaker Extraction

Description from the archive archive 2025-07-28.

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Most implemented papers archive 2025-07-28

20 shown of 20 papers with code (55 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• GPU-accelerated Guided Source Separation for Meeting Transcription
  10 Dec 2022 2 repositories listed
  In this paper, we describe our improved implementation of GSS that leverages the power of modern GPU-based pipelines, including batched processing of frequencies and segments, to provide 300x speed-up over CPU-based…
• M3ANet: Multi-scale and Multi-Modal Alignment Network for Brain-Assisted Target Speaker Extraction
  31 May 2025 1 repository listed Syntology ran 30 of 41 samples · 11 unverified · 41 pointer-only (licence)
  Specifically, to eliminate the temporal inconsistency between EEG and speech modalities, the modal alignment module that uses a contrastive learning strategy is applied to align the temporal features of both modalities.
• LauraTSE: Target Speaker Extraction using Auto-Regressive Decoder-Only Language Models
  10 Apr 2025 1 repository listed
  To the best of our knowledge, LauraTSE is the first single-task TSE model to leverage an auto-regressive decoder-only language model as the backbone.
• Metis: A Foundation Speech Generation Model with Masked Generative Pre-training
  5 Feb 2025 1 repository listed
  Experiments demonstrate that Metis can serve as a foundation model for unified speech generation: Metis outperforms state-of-the-art task-specific or multi-task systems across five speech generation tasks, including…
• Multi-Level Speaker Representation for Target Speaker Extraction
  21 Oct 2024 1 repository listed
  In this work, we propose a multi-level speaker representation approach, from raw features to neural embeddings, to serve as the speaker reference cue.
• Generative Speech Foundation Model Pretraining for High-Quality Speech Extraction and Restoration
  24 Sep 2024 1 repository listed
  The proposed method is evaluated on multiple speech restoration tasks, including speech denoising, bandwidth extension, codec artifact removal, and target speaker extraction.
• WeSep: A Scalable and Flexible Toolkit Towards Generalizable Target Speaker Extraction
  24 Sep 2024 1 repository listed
  Target speaker extraction (TSE) focuses on isolating the speech of a specific target speaker from overlapped multi-talker speech, which is a typical setup in the cocktail party problem.
• TSELM: Target Speaker Extraction using Discrete Tokens and Language Models
  12 Sep 2024 1 repository listed
  We propose TSELM, a novel target speaker extraction network that leverages discrete tokens and language models.
• USEF-TSE: Universal Speaker Embedding Free Target Speaker Extraction
  4 Sep 2024 1 repository listed
  Traditionally, this process has relied on extracting a speaker embedding from a reference speech, in which a speaker recognition model is required.
• Spectron: Target Speaker Extraction using Conditional Transformer with Adversarial Refinement
  2 Sep 2024 1 repository listed
  Our experiments show that the use of a dual path transformer in the separator backbone along with proposed training paradigm improves the CNN baseline by $3.
• AV-CrossNet: an Audiovisual Complex Spectral Mapping Network for Speech Separation By Leveraging Narrow- and Cross-Band Modeling
  17 Jun 2024 1 repository listed
  Adding visual cues to audio-based speech separation can improve separation performance.
• Audio-Visual Target Speaker Extraction with Reverse Selective Auditory Attention
  29 Apr 2024 1 repository listed
  To this end, we propose a novel selective auditory attention mechanism, which can suppress interference speakers and non-speech signals to avoid incorrect speaker extraction.
• Typing to Listen at the Cocktail Party: Text-Guided Target Speaker Extraction
  11 Oct 2023 1 repository listed
  We demonstrate that textual descriptions alone can effectively serve as cues for extraction, thus addressing privacy concerns and reducing dependency on voiceprints.
• RTFS-Net: Recurrent Time-Frequency Modelling for Efficient Audio-Visual Speech Separation
  29 Sep 2023 1 repository listed Syntology ran 0 of 1 samples · 1 unverified
  This is the first time-frequency domain audio-visual speech separation method to outperform all contemporary time-domain counterparts.
• ImagineNET: Target Speaker Extraction with Intermittent Visual Cue through Embedding Inpainting
  31 Oct 2022 1 repository listed
  In this paper, we study the audio-visual speaker extraction algorithms with intermittent visual cue.
• A Hybrid Continuity Loss to Reduce Over-Suppression for Time-domain Target Speaker Extraction
  31 Mar 2022 1 repository listed
  We propose a hybrid continuity loss function for time-domain speaker extraction algorithms to settle the over-suppression problem.
• L-SpEx: Localized Target Speaker Extraction
  21 Feb 2022 1 repository listed
  Speaker extraction aims to extract the target speaker's voice from a multi-talker speech mixture given an auxiliary reference utterance.
• Selective Listening by Synchronizing Speech with Lips
  14 Jun 2021 1 repository listed
  A speaker extraction algorithm seeks to extract the speech of a target speaker from a multi-talker speech mixture when given a cue that represents the target speaker, such as a pre-enrolled speech utterance, or an…
• Target Speaker Verification with Selective Auditory Attention for Single and Multi-talker Speech
  30 Mar 2021 1 repository listed
  Inspired by the study on target speaker extraction, e.
• Muse: Multi-modal target speaker extraction with visual cues
  15 Oct 2020 1 repository listed
  Speaker extraction algorithm relies on the speech sample from the target speaker as the reference point to focus its attention.

Syntology lines on 2 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.