Speaker Separation

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

3 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

1 subtask in the archive's task tree.

Most implemented papers archive 2025-07-28

13 shown of 13 papers with code (58 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.

• Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for Speech Separation
  20 Sep 2018 17 repositories listed Syntology ran 7 of 36 samples · 29 unverified · 16 pointer-only (licence)
  The majority of the previous methods have formulated the separation problem through the time-frequency representation of the mixed signal, which has several drawbacks, including the decoupling of the phase and magnitude…
• VoiceFilter: Targeted Voice Separation by Speaker-Conditioned Spectrogram Masking
  11 Oct 2018 5 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  In this paper, we present a novel system that separates the voice of a target speaker from multi-speaker signals, by making use of a reference signal from the target speaker.
• Multi-microphone Complex Spectral Mapping for Utterance-wise and Continuous Speech Separation
  4 Oct 2020 2 repositories listed Syntology ran 1 of 9 samples · 8 unverified
  Although our system is trained on simulated room impulse responses (RIR) based on a fixed number of microphones arranged in a given geometry, it generalizes well to a real array with the same geometry.
• Single-Channel Multi-Speaker Separation using Deep Clustering
  7 Jul 2016 2 repositories listed
  In this paper we extend the baseline system with an end-to-end signal approximation objective that greatly improves performance on a challenging speech separation.
• SepMamba: State-space models for speaker separation using Mamba
  28 Oct 2024 1 repository listed
  Our approach provides a computationally favorable alternative to transformer-based architectures for deep speech separation.
• 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.
• Blind Speech Separation and Dereverberation using Neural Beamforming
  24 Mar 2021 1 repository listed
  In this paper, we present the Blind Speech Separation and Dereverberation (BSSD) network, which performs simultaneous speaker separation, dereverberation and speaker identification in a single neural network.
• Stabilizing Label Assignment for Speech Separation by Self-supervised Pre-training
  29 Oct 2020 1 repository listed
  Speech separation has been well developed, with the very successful permutation invariant training (PIT) approach, although the frequent label assignment switching happening during PIT training remains to be a problem…
• Speech Separation Based on Multi-Stage Elaborated Dual-Path Deep BiLSTM with Auxiliary Identity Loss
  6 Aug 2020 1 repository listed
  We have open sourced our re-implementation of the DPRNN-TasNet here (https://github.
• Divide and Conquer: A Deep CASA Approach to Talker-independent Monaural Speaker Separation
  25 Apr 2019 1 repository listed
  Simultaneous grouping is first performed in each time frame by separating the spectra of different speakers with a permutation-invariantly trained neural network.
• Neural separation of observed and unobserved distributions
  30 Nov 2018 1 repository listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  In this work, we introduce a new method---Neural Egg Separation---to tackle the scenario of extracting a signal from an unobserved distribution additively mixed with a signal from an observed distribution.
• Monaural Audio Speaker Separation with Source Contrastive Estimation
  12 May 2017 1 repository listed
  Although the matrix determined by the output weights is dependent on a set of known speakers, we only use the input vectors during inference.
• Deep attractor network for single-microphone speaker separation
  27 Nov 2016 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  We propose a novel deep learning framework for single channel speech separation by creating attractor points in high dimensional embedding space of the acoustic signals which pull together the time-frequency bins…

Syntology lines on 5 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.