mlsanityData to 13 Oct 2026

SpEx+: A Complete Time Domain Speaker Extraction Network

arXiv 2005.04686 ↗First posted 10 May 2020eess.AS cs.SDcited by 33

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Abstract (arXiv)

Speaker extraction aims to extract the target speech signal from a multi-talker environment given a target speaker's reference speech. We recently proposed a time-domain solution, SpEx, that avoids the phase estimation in frequency-domain approaches. Unfortunately, SpEx is not fully a time-domain solution since it performs time-domain speech encoding for speaker extraction, while taking frequency-domain speaker embedding as the reference. The size of the analysis window for time-domain and the size for frequency-domain input are also different. Such mismatch has an adverse effect on the system performance. To eliminate such mismatch, we propose a complete time-domain speaker extraction solution, that is called SpEx+. Specifically, we tie the weights of two identical speech encoder networks, one for the encoder-extractor-decoder pipeline, another as part of the speaker encoder. Experiments show that the SpEx+ achieves 0.8dB and 2.1dB SDR improvement over the state-of-the-art SpEx baseline, under different and same gender conditions on WSJ0-2mix-extr database respectively.

Key facts. Cited by 33 papers in the map (data through 13 Oct 2026). First posted on arXiv 10 May 2020.

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Citing papers per year: 2021: 3; 2022: 4; 2023: 8; 2024: 4; 2025: 9; 2026: 5.

33 papers.

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  1. 2023Target Speech Extraction with Conditional Diffusion Modelcited by 15
  2. 2024Look Once to Hear: Target Speech Hearing with Noisy Examplescited by 11
  3. 2024TSELM: Target Speaker Extraction using Discrete Tokens and Language Modelscited by 10
  4. 2022An Audio-Visual Speech Separation Model Inspired by Cortico-Thalamo-Cortical Circuitscited by 9
  5. 2025SoloSpeech: Enhancing Intelligibility and Quality in Target Speech Extraction through a Cascaded Generative Pipelinecited by 9
  6. 2024Separate in the Speech Chain: Cross-Modal Conditional Audio-Visual Target Speech Extractioncited by 7
  7. 2023X-SepFormer: End-to-end Speaker Extraction Network with Explicit Optimization on Speaker Confusioncited by 6
  8. 2023Typing to Listen at the Cocktail Party: Text-Guided Target Speaker Extractioncited by 6
  9. 2025FlowTSE: Target Speaker Extraction with Flow Matchingcited by 6
  10. 2022Speaker Extraction with Co-Speech Gestures Cuecited by 5
  11. 2023Self-Supervised Disentangled Representation Learning for Robust Target Speech Extractioncited by 5
  12. 2025LauraTSE: Target Speaker Extraction using Auto-Regressive Decoder-Only Language Modelscited by 5
21 more
  1. 2023Conditional Diffusion Model for Target Speaker Extractioncited by 4
  2. 2025UniSE: A Unified Framework for Decoder-Only Autoregressive LM-Based Speech Enhancementcited by 4
  3. 2025MeanFlow-TSE: One-Step Generative Target Speaker Extraction with Mean Flowcited by 4
  4. 2021WASE: Learning When to Attend for Speaker Extraction in Cocktail Party Environmentscited by 3
  5. 2023Improving Audio-Visual Speech Recognition by Lip-Subword Correlation Based Visual Pre-training and Cross-Modal Fusion Encodercited by 3
  6. 2021Time-Domain Speech Extraction with Spatial Information and Multi Speaker Conditioning Mechanismcited by 2
  7. 2025Adaptive Deterministic Flow Matching for Target Speaker Extractioncited by 2
  8. 2022Single microphone speaker extraction using unified time-frequency Siamese-Unetcited by 1
  9. 2023MBTFNet: Multi-Band Temporal-Frequency Neural Network For Singing Voice Enhancementcited by 1
  10. 2024TDFNet: An Efficient Audio-Visual Speech Separation Model with Top-down Fusioncited by 1
  11. 2025Target Speaker Extraction through Comparing Noisy Positive and Negative Audio Enrollmentscited by 1
  12. 2025GenTSE: Enhancing Target Speaker Extraction via a Coarse-to-Fine Generative Language Modelcited by 1
  13. 2026SAM Audio Judge: A Unified Multimodal Framework for Perceptual Evaluation of Audio Separationcited by 1
  14. 2026StarTSE: Towards Streaming Target Speaker Extraction via Chunk-wise Interleaved Splicing of Autoregressive Language Modelcited by 1
  15. 2021Sparsely Overlapped Speech Training in the Time Domain: Joint Learning of Target Speech Separation and Personal VAD Benefitscited by 0
  16. 2022VCSE: Time-Domain Visual-Contextual Speaker Extraction Networkcited by 0
  17. 2023Improving Target Speaker Extraction with Sparse LDA-transformed Speaker Embeddingscited by 0
  18. 2025Audio-Visual Speech Enhancement In Complex Scenarios With Separation And Dereverberation Joint Modelingcited by 0
  19. 2026AlphaFlowTSE: One-Step Generative Target Speaker Extraction via Conditional AlphaFlowcited by 0
  20. 2026Mask2Flow-TSE: Two-Stage Target Speaker Extraction with Masking and Flow Matchingcited by 0
  21. 2026Breaking the Quality--Intelligibility Trade-off in Streaming Target Speaker Extraction via Deep-Feature-Anchored Preference Optimizationcited by 0