mlsanityData to 7 Oct 2026

Dual Quaternion Ambisonics Array for Six-Degree-of-Freedom Acoustic Representation

arXiv 2204.01851 ↗First posted 4 Apr 2022eess.AS cs.LG cs.SDcited by 8

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Abstract (arXiv)

Spatial audio methods are gaining a growing interest due to the spread of immersive audio experiences and applications, such as virtual and augmented reality. For these purposes, 3D audio signals are often acquired through arrays of Ambisonics microphones, each comprising four capsules that decompose the sound field in spherical harmonics. In this paper, we propose a dual quaternion representation of the spatial sound field acquired through an array of two First Order Ambisonics (FOA) microphones. The audio signals are encapsulated in a dual quaternion that leverages quaternion algebra properties to exploit correlations among them. This augmented representation with 6 degrees of freedom (6DOF) involves a more accurate coverage of the sound field, resulting in a more precise sound localization and a more immersive audio experience. We evaluate our approach on a sound event localization and detection (SELD) benchmark. We show that our dual quaternion SELD model with temporal convolution blocks (DualQSELD-TCN) achieves better results with respect to real and quaternion-valued baselines thanks to our augmented representation of the sound field. Full code is available at: https://github.com/ispamm/DualQSELD-TCN.

Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). Builds on 19 of its 53 references that are in the map. First posted on arXiv 4 Apr 2022.

Builds on

19 of 53 references.

References · 19

  1. 2016WaveNet: A Generative Model for Raw Audiocited by 1,710
  2. 2020FSD50K: An Open Dataset of Human-Labeled Sound Eventscited by 339
  3. 2018Sound Event Localization and Detection of Overlapping Sources Using Convolutional Recurrent Neural Networkscited by 84
  4. 2020An Overview of Deep-Learning-Based Audio-Visual Speech Enhancement and Separationcited by 81
  5. 2017Deep Quaternion Networkscited by 48
  6. 2017A Wavenet for Speech Denoisingcited by 47
  7. 2021Move2Hear: Active Audio-Visual Source Separationcited by 35
  8. 2020Overview and Evaluation of Sound Event Localization and Detection in DCASE 2019cited by 30
  9. 2021PHNNs: Lightweight Neural Networks via Parameterized Hypercomplex Convolutionscited by 26
  10. 2021Quaternion Generative Adversarial Networkscited by 17
  11. 2021Node Co-occurrence based Graph Neural Networks for Knowledge Graph Link Predictioncited by 12
  12. 2020A Quaternion-Valued Variational Autoencodercited by 11
7 more
  1. 2022L3DAS22 Challenge: Learning 3D Audio Sources in a Real Office Environmentcited by 10
  2. 2021L3DAS21 Challenge: Machine Learning for 3D Audio Signal Processingcited by 9
  3. 2020SELD-TCN: Sound Event Localization & Detection via Temporal Convolutional Networkscited by 5
  4. 2020Predicting Rigid Body Dynamics using Dual Quaternion Recurrent Neural Networks with Quaternion Attentioncited by 4
  5. 2021Quaternion Factorization Machines: A Lightweight Solution to Intricate Feature Interaction Modellingcited by 4
  6. 2021SALADnet: Self-Attentive multisource Localization in the Ambisonics Domaincited by 4
  7. 2021Direction of Arrival Estimation of Noisy Speech Using Convolutional Recurrent Neural Networks with Higher-Order Ambisonics Signalscited by 3

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Cited by year

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

8 papers.

  1. 2024Universal Approximation Theorem for Vector- and Hypercomplex-Valued Neural Networkscited by 11
  2. 2022Learning Speech Emotion Representations in the Quaternion Domaincited by 7
  3. 2022Extending the Universal Approximation Theorem for a Broad Class of Hypercomplex-Valued Neural Networkscited by 5
  4. 2023Understanding Vector-Valued Neural Networks and Their Relationship with Real and Hypercomplex-Valued Neural Networkscited by 4
  5. 2024Towards Explaining Hypercomplex Neural Networkscited by 3
  6. 2023PHYDI: Initializing Parameterized Hypercomplex Neural Networks as Identity Functionscited by 2
  7. 2024PHemoNet: A Multimodal Network for Physiological Signalscited by 2
  8. 2024Demystifying the Hypercomplex: Inductive Biases in Hypercomplex Deep Learningcited by 1