mlsanityData to 7 Oct 2026

L3DAS22 Challenge: Learning 3D Audio Sources in a Real Office Environment

arXiv 2202.10372 ↗First posted 21 Feb 2022eess.AS cs.LG cs.SDcited by 10

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Abstract (arXiv)

The L3DAS22 Challenge is aimed at encouraging the development of machine learning strategies for 3D speech enhancement and 3D sound localization and detection in office-like environments. This challenge improves and extends the tasks of the L3DAS21 edition. We generated a new dataset, which maintains the same general characteristics of L3DAS21 datasets, but with an extended number of data points and adding constrains that improve the baseline model's efficiency and overcome the major difficulties encountered by the participants of the previous challenge. We updated the baseline model of Task 1, using the architecture that ranked first in the previous challenge edition. We wrote a new supporting API, improving its clarity and ease-of-use. In the end, we present and discuss the results submitted by all participants. L3DAS22 Challenge website: www.l3das.com/icassp2022.

Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). Builds on 17 of its 26 references that are in the map. First posted on arXiv 21 Feb 2022.

Builds on

17 of 26 references.

References · 17

  1. 2020wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representationscited by 3,853
  2. 2018Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for Speech Separationcited by 400
  3. 2020FSD50K: An Open Dataset of Human-Labeled Sound Eventscited by 339
  4. 2017Supervised Speech Separation Based on Deep Learning: An Overviewcited by 213
  5. 2018Sound Event Localization and Detection of Overlapping Sources Using Convolutional Recurrent Neural Networkscited by 84
  6. 2020Overview and Evaluation of Sound Event Localization and Detection in DCASE 2019cited by 30
  7. 2019FaSNet: Low-latency Adaptive Beamforming for Multi-microphone Audio Processingcited by 23
  8. 2020A Dataset of Reverberant Spatial Sound Scenes with Moving Sources for Sound Event Localization and Detectioncited by 21
  9. 2019Polyphonic Sound Event Detection and Localization using a Two-Stage Strategycited by 19
  10. 2017Sound Event Detection Using Spatial Features and Convolutional Recurrent Neural Networkcited by 14
  11. 2019First Order Ambisonics Domain Spatial Augmentation for DNN-based Direction of Arrival Estimationcited by 12
  12. 2021L3DAS21 Challenge: Machine Learning for 3D Audio Signal Processingcited by 9
5 more
  1. 2020SELD-TCN: Sound Event Localization & Detection via Temporal Convolutional Networkscited by 5
  2. 2019Discriminative Learning for Monaural Speech Separation Using Deep Embedding Featurescited by 3
  3. 2020DBNET: DOA-driven beamforming network for end-to-end farfield sound source separationcited by 3
  4. 2018Multichannel Sound Event Detection Using 3D Convolutional Neural Networks for Learning Inter-channel Featurescited by 2
  5. 2020An Iterative Graph Spectral Subtraction Method for Speech Enhancementcited by 2

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 2; 2023: 2; 2024: 4; 2025: 1; 2026: 1.

10 papers.