mlsanityData to 14 Oct 2026

LocSelect: Target Speaker Localization with an Auditory Selective Hearing Mechanism

arXiv 2310.10497 ↗First posted 16 Oct 2023cs.SD cs.AI eess.AScited by 6

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Abstract (arXiv)

The prevailing noise-resistant and reverberation-resistant localization algorithms primarily emphasize separating and providing directional output for each speaker in multi-speaker scenarios, without association with the identity of speakers. In this paper, we present a target speaker localization algorithm with a selective hearing mechanism. Given a reference speech of the target speaker, we first produce a speaker-dependent spectrogram mask to eliminate interfering speakers' speech. Subsequently, a Long short-term memory (LSTM) network is employed to extract the target speaker's location from the filtered spectrogram. Experiments validate the superiority of our proposed method over the existing algorithms for different scale invariant signal-to-noise ratios (SNR) conditions. Specifically, at SNR = -10 dB, our proposed network LocSelect achieves a mean absolute error (MAE) of 3.55 and an accuracy (ACC) of 87.40%.

Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). Builds on 12 of its 30 references that are in the map. First posted on arXiv 16 Oct 2023.

Builds on

12 of 30 references.

References · 12

  1. 2015Deep Residual Learning for Image Recognitioncited by 52,096
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  4. 2017VoxCeleb: a large-scale speaker identification datasetcited by 732
  5. 2018VoiceFilter: Targeted Voice Separation by Speaker-Conditioned Spectrogram Maskingcited by 73
  6. 2018gpuRIR: A Python Library for Room Impulse Response Simulation with GPU Accelerationcited by 46
  7. 2017Direction of arrival estimation for multiple sound sources using convolutional recurrent neural networkcited by 27
  8. 2017Deep Neural Networks for Multiple Speaker Detection and Localizationcited by 23
  9. 2019Polyphonic Sound Event Detection and Localization using a Two-Stage Strategycited by 19
  10. 2017Broadband DOA estimation using Convolutional neural networks trained with noise signalscited by 15
  11. 2021Multi-target DoA Estimation with an Audio-visual Fusion Mechanismcited by 14
  12. 2020A General Network Architecture for Sound Event Localization and Detection Using Transfer Learning and Recurrent Neural Networkcited by 5

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 3; 2026: 3.

6 papers.

  1. 2025Steering Deep Non-Linear Spatially Selective Filters for Weakly Guided Extraction of Moving Speakers in Dynamic Scenarioscited by 4
  2. 2025Self-Steering Deep Non-Linear Spatially Selective Filters for Efficient Extraction of Moving Speakers under Weak Guidancecited by 2
  3. 2025Text2Sign Diffusion: A Generative Approach for Gloss-Free Sign Language Productioncited by 1
  4. 2026Autoregressive Guidance of Deep Spatially Selective Filters using Bayesian Tracking for Efficient Extraction of Moving Speakerscited by 1
  5. 2026SelectTSL: Prompt-Guided Selective Target Sound Localization in Complex Scenarioscited by 1
  6. 2026Analytic Incremental Learning For Sound Source Localization With Imbalance Rectificationcited by 0