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Paper Citation Record · LEDGER

Deep Learning for Personalized Binaural Audio Reproduction

As of 8 August 2026, this Paper Citation Record lists 100 of 260 outbound references and 1 inbound Pith citation observation for arXiv:2509.00400.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2509.00400 v1

Coverage vector

measured 100 of 260 reference resolution

Typed states for the displayed outbound observations.

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measured 101 of 101 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T12:50:23.886751Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

100 of 260 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3f7b4fdc-e0be-42ed-b2c6-48342c49c00e · outbound

This paper cites an unresolved cited work.

Deep Learning for Personalized Binaural Audio Reproduction Unresolved cited work

Reference 1

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Observation 54a7a235-846f-442f-92e5-37dd0df0dca1 · outbound

This paper cites Blauert, Spatial hearing: the psychophysics of human sound localization.

Deep Learning for Personalized Binaural Audio Reproduction Blauert, Spatial hearing: the psychophysics of human sound localization

Reference 2

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Observation b3e69067-64f3-4786-817b-1a5250716463 · outbound

This paper cites Spatial sound- scapes and virtual worlds: Challenges and opportuni- ties,.

Deep Learning for Personalized Binaural Audio Reproduction Spatial sound- scapes and virtual worlds: Challenges and opportuni- ties,

Reference 3

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Observation 145f0aae-0342-4a59-8912-2e30fea183d9 · outbound

This paper cites Spatial sound-history, principle, progress and challenge,.

Deep Learning for Personalized Binaural Audio Reproduction Spatial sound-history, principle, progress and challenge,

Reference 4

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Observation b7f2ed9d-74f2-4ef9-9052-819169811ece · outbound

This paper cites A computationally-efficient and perceptually-plausible al- gorithm for binaural room impulse response simula- tion,.

Deep Learning for Personalized Binaural Audio Reproduction A computationally-efficient and perceptually-plausible al- gorithm for binaural room impulse response simula- tion,

Reference 5

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Observation 397fd985-f405-47c7-bbcb-a366f369912b · outbound

This paper cites Low-order filter approxima- tion of diffraction for virtual acoustics,.

Deep Learning for Personalized Binaural Audio Reproduction Low-order filter approxima- tion of diffraction for virtual acoustics,

Reference 6

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Observation 3f6b27b2-667a-4eab-965a-b572c020e1f4 · outbound

This paper cites A filter representation of diffraction at infinite and finite wedges,.

Deep Learning for Personalized Binaural Audio Reproduction A filter representation of diffraction at infinite and finite wedges,

Reference 7

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Observation b9722643-e10d-49e9-b2e1-faca274b412e · outbound

This paper cites A universal filter approx- imation of edge diffraction for geometrical acoustics,.

Deep Learning for Personalized Binaural Audio Reproduction A universal filter approx- imation of edge diffraction for geometrical acoustics,

Reference 8

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Observation e45ae808-f644-4162-9208-23c24d959a7d · outbound

This paper cites Machine-learning-based estimation and rendering of scattering in virtual reality,.

Deep Learning for Personalized Binaural Audio Reproduction Machine-learning-based estimation and rendering of scattering in virtual reality,

Reference 9

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Observation 851841c1-f77d-48ff-aa06-bf36e8524a0f · outbound

This paper cites Computationally-efficient simulation of late reverberation for inhomogeneous boundary conditions and coupled rooms,.

Deep Learning for Personalized Binaural Audio Reproduction Computationally-efficient simulation of late reverberation for inhomogeneous boundary conditions and coupled rooms,

Reference 10

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Observation ac7921a5-f993-4de7-af22-234ad8d9861d · outbound

This paper cites Integrating real-time room acoustics simulation into a cad modeling software to enhance the architectural design process,.

Deep Learning for Personalized Binaural Audio Reproduction Integrating real-time room acoustics simulation into a cad modeling software to enhance the architectural design process,

Reference 11

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Observation 396560f6-1b5b-44ef-a217-e67ed0752b23 · outbound

This paper cites A round robin on room acoustical simulation and auralization,.

Deep Learning for Personalized Binaural Audio Reproduction A round robin on room acoustical simulation and auralization,

Reference 12

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Observation a2334623-6ecb-4268-821d-d347807b6f47 · outbound

This paper cites Overview of geomet- rical room acoustic modeling techniques,.

Deep Learning for Personalized Binaural Audio Reproduction Overview of geomet- rical room acoustic modeling techniques,

Reference 13

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Observation 0c8c8549-81e7-48be-b23a-ea0c3e79e607 · outbound

This paper cites Interactive simulation and free-field auralization of acoustic space with the rtSOFE,.

Deep Learning for Personalized Binaural Audio Reproduction Interactive simulation and free-field auralization of acoustic space with the rtSOFE,

Reference 14

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Observation 1daefc9a-f556-4a7b-ab58-b560fd0f567c · outbound

This paper cites Schr ¨oder, Physically based real-time auralization of interactive virtual environments.

Deep Learning for Personalized Binaural Audio Reproduction Schr ¨oder, Physically based real-time auralization of interactive virtual environments

Reference 15

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Observation 51c206ff-a50f-4725-9e11-eca75eb6d7b6 · outbound

This paper cites Efficient HRTF-based spatial audio for area and volumetric sources,.

Deep Learning for Personalized Binaural Audio Reproduction Efficient HRTF-based spatial audio for area and volumetric sources,

Reference 16

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Observation 4171baab-bf45-477b-8400-b5f8e9dad31e · outbound

This paper cites Natural listening over head- phones in augmented reality using adaptive filtering techniques,.

Deep Learning for Personalized Binaural Audio Reproduction Natural listening over head- phones in augmented reality using adaptive filtering techniques,

Reference 17

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Observation 02bae440-3388-4975-a9c1-ab7577b599d7 · outbound

This paper cites Larsson, A.

Deep Learning for Personalized Binaural Audio Reproduction Larsson, A

Reference 18

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Observation 3c3fe2ac-e9dc-4828-9adf-814d84f3f751 · outbound

This paper cites Acoustic control by wave field synthesis,.

Deep Learning for Personalized Binaural Audio Reproduction Acoustic control by wave field synthesis,

Reference 19

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Observation b6a396ac-6669-440d-b1d1-b371f358986b · outbound

This paper cites Further investiga- tions of high-order ambisonics and wavefield synthesis for holophonic sound imaging,.

Deep Learning for Personalized Binaural Audio Reproduction Further investiga- tions of high-order ambisonics and wavefield synthesis for holophonic sound imaging,

Reference 20

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Observation 727029af-2b28-49d1-9a62-04404e1e8423 · outbound

This paper cites Rumsey, Spatial audio.

Deep Learning for Personalized Binaural Audio Reproduction Rumsey, Spatial audio

Reference 21

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Observation 95c83919-83d5-4c33-93b6-fe015825df41 · outbound

This paper cites Headphone simula- JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2025 18 tion of free-field listening. I: Stimulus synthesis,.

Deep Learning for Personalized Binaural Audio Reproduction Headphone simula- JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2025 18 tion of free-field listening. I: Stimulus synthesis,

Reference 22

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Observation 314b9648-221c-41c3-b731-9c2bc632e976 · outbound

This paper cites Sound localiza- tion by human listeners,.

Deep Learning for Personalized Binaural Audio Reproduction Sound localiza- tion by human listeners,

Reference 23

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Observation f5073a11-3ba2-4dcc-9ab4-2e516001f95e · outbound

This paper cites Xie, Head-related transfer function and virtual au- ditory display.

Deep Learning for Personalized Binaural Audio Reproduction Xie, Head-related transfer function and virtual au- ditory display

Reference 24

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Observation 2e3ad2b9-7b8f-4674-8a7b-caac099d478d · outbound

This paper cites Fundamentals of binaural technology,.

Deep Learning for Personalized Binaural Audio Reproduction Fundamentals of binaural technology,

Reference 25

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Observation 6189a048-c15b-458e-bee9-4af1de275eae · outbound

This paper cites Individual differences in external- ear transfer functions reduced by scaling in frequency,.

Deep Learning for Personalized Binaural Audio Reproduction Individual differences in external- ear transfer functions reduced by scaling in frequency,

Reference 26

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Observation de54e899-f927-473b-acff-b2f08e51a56c · outbound

This paper cites Localization using nonindividualized head- related transfer functions,.

Deep Learning for Personalized Binaural Audio Reproduction Localization using nonindividualized head- related transfer functions,

Reference 27

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Observation 42ce8378-f707-4854-b123-bd6a99af1efd · outbound

This paper cites Binaural technique: Do we need individual recordings?.

Deep Learning for Personalized Binaural Audio Reproduction Binaural technique: Do we need individual recordings?

Reference 28

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Observation d67fafa5-3c02-4fb4-96a7-de5e59072814 · outbound

This paper cites Personalized HRTF model- ing based on deep neural network using anthropometric measurements and images of the ear,.

Deep Learning for Personalized Binaural Audio Reproduction Personalized HRTF model- ing based on deep neural network using anthropometric measurements and images of the ear,

Reference 29

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Observation aec51472-c9f0-4b70-88fb-e2b6bd7bd058 · outbound

This paper cites Measurement of head-related transfer functions: A review,.

Deep Learning for Personalized Binaural Audio Reproduction Measurement of head-related transfer functions: A review,

Reference 30

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Observation 2db1281e-f606-483b-ac40-ea69f6d46c7d · outbound

This paper cites The CIPIC HRTF database,.

Deep Learning for Personalized Binaural Audio Reproduction The CIPIC HRTF database,

Reference 31

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Observation 77dd89b5-64bb-49ad-9f86-18894dd2e5ec · outbound

This paper cites Boundary element method calculation of individual head-related transfer function. I. Rigid model calculation,.

Deep Learning for Personalized Binaural Audio Reproduction Boundary element method calculation of individual head-related transfer function. I. Rigid model calculation,

Reference 32

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Observation 8ef032c0-ac58-4c06-a4e4-bd7020441c54 · outbound

This paper cites A cross-evaluated database of measured and simulated HRTFs including 3D head meshes, anthropometric features, and headphone im- pulse responses,.

Deep Learning for Personalized Binaural Audio Reproduction A cross-evaluated database of measured and simulated HRTFs including 3D head meshes, anthropometric features, and headphone im- pulse responses,

Reference 33

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Observation 43522786-1c55-4737-9778-1efcf5ba4050 · outbound

This paper cites Virtual sound source positioning using vector base amplitude panning,.

Deep Learning for Personalized Binaural Audio Reproduction Virtual sound source positioning using vector base amplitude panning,

Reference 34

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Observation 65df5a70-daa9-4e28-82c7-a15d38c57233 · outbound

This paper cites A new HRTF interpolation approach for nonlinear 3D audio systems,.

Deep Learning for Personalized Binaural Audio Reproduction A new HRTF interpolation approach for nonlinear 3D audio systems,

Reference 35

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Observation 3dfa21b4-cc3b-4ef2-9538-9bf0dd84b669 · outbound

This paper cites A model of head- related transfer functions based on principal compo- nents analysis and minimum-phase reconstruction,.

Deep Learning for Personalized Binaural Audio Reproduction A model of head- related transfer functions based on principal compo- nents analysis and minimum-phase reconstruction,

Reference 36

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Observation 96a30fa1-e44e-4a87-9a87-fffe3948b5d9 · outbound

This paper cites Implicit HRTF modeling using temporal convolutional networks,.

Deep Learning for Personalized Binaural Audio Reproduction Implicit HRTF modeling using temporal convolutional networks,

Reference 37

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Observation ff624e2e-d7e5-46c4-8606-909622efacb8 · outbound

This paper cites Neural synthesis of binaural speech from mono audio,.

Deep Learning for Personalized Binaural Audio Reproduction Neural synthesis of binaural speech from mono audio,

Reference 38

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Observation 008ea331-5799-4056-8117-99bfa66300a3 · outbound

This paper cites A machine learning tutorial for spatial auditory display using head-related transfer functions,.

Deep Learning for Personalized Binaural Audio Reproduction A machine learning tutorial for spatial auditory display using head-related transfer functions,

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Observation fc61a14f-bbe2-4755-a980-41ea862418f4 · outbound

This paper cites A review on head- related transfer function generation for spatial audio,.

Deep Learning for Personalized Binaural Audio Reproduction A review on head- related transfer function generation for spatial audio,

Reference 40

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Observation 6b799fb6-1e6c-4abb-b074-79bf5d4a146a · outbound

This paper cites A survey on machine learning techniques for head- related transfer function individualization,.

Deep Learning for Personalized Binaural Audio Reproduction A survey on machine learning techniques for head- related transfer function individualization,

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Observation 0d54eeea-3a0e-4b0b-b821-2a1582301a0f · outbound

This paper cites An overview of machine learning and other data- based methods for spatial audio capture, processing, and reproduction,.

Deep Learning for Personalized Binaural Audio Reproduction An overview of machine learning and other data- based methods for spatial audio capture, processing, and reproduction,

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Observation e246fd18-77bc-42a2-b6cf-f9a4f1269f54 · outbound

This paper cites Perceptually based head- related transfer function database optimization,.

Deep Learning for Personalized Binaural Audio Reproduction Perceptually based head- related transfer function database optimization,

Reference 43

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Observation cdaa79dd-04e9-4afb-bd92-78b889d62bc2 · outbound

This paper cites Estimation and modeling of pinna-related transfer functions,.

Deep Learning for Personalized Binaural Audio Reproduction Estimation and modeling of pinna-related transfer functions,

Reference 44

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Observation be66b2ba-b7cb-4650-9171-d1ceed062625 · outbound

This paper cites Extracting the frequencies of the pinna spectral notches in measured head related impulse responses,.

Deep Learning for Personalized Binaural Audio Reproduction Extracting the frequencies of the pinna spectral notches in measured head related impulse responses,

Reference 45

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Observation 014fbb4c-abb7-4604-bfa1-fb0166a2a62c · outbound

This paper cites A wide dataset of ear shapes and pinna-related transfer functions generated by random ear drawings,.

Deep Learning for Personalized Binaural Audio Reproduction A wide dataset of ear shapes and pinna-related transfer functions generated by random ear drawings,

Reference 46

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Observation f3708bb7-ba5b-403e-9aa6-f40a4ad0d1a1 · outbound

This paper cites Efficient real spherical harmonic representa- tion of head-related transfer functions,.

Deep Learning for Personalized Binaural Audio Reproduction Efficient real spherical harmonic representa- tion of head-related transfer functions,

Reference 47

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Observation dbd730d2-29b2-4b5d-ab50-7980bdc48ff7 · outbound

This paper cites Autoencoding HRTFs for DNN based HRTF personalization using anthropometric features,.

Deep Learning for Personalized Binaural Audio Reproduction Autoencoding HRTFs for DNN based HRTF personalization using anthropometric features,

Reference 48

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Observation 8e185924-b109-4b7f-b701-e2f41a4fcbe9 · outbound

This paper cites Autoencoders, unsupervised learning, and JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2025 19 deep architectures,.

Deep Learning for Personalized Binaural Audio Reproduction Autoencoders, unsupervised learning, and JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2025 19 deep architectures,

Reference 49

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Observation 35ea7585-ef66-4c8c-b4ab-4c3ce2d5eda7 · outbound

This paper cites HRTF personal- ization based on artificial neural network in individual virtual auditory space,.

Deep Learning for Personalized Binaural Audio Reproduction HRTF personal- ization based on artificial neural network in individual virtual auditory space,

Reference 50

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Observation a00603c3-55e2-4496-820b-e8750d03cc42 · outbound

This paper cites Global HRTF personalization using anthropometric measures,.

Deep Learning for Personalized Binaural Audio Reproduction Global HRTF personalization using anthropometric measures,

Reference 51

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Observation 72bc95c6-5049-4a49-ae0d-ba3a60a9bcf2 · outbound

This paper cites Modeling of individual HRTFs based on spatial principal com- ponent analysis,.

Deep Learning for Personalized Binaural Audio Reproduction Modeling of individual HRTFs based on spatial principal com- ponent analysis,

Reference 52

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Observation 77894aff-43b0-441c-ac0a-43509e73620f · outbound

This paper cites HRTF individualization using deep learning,.

Deep Learning for Personalized Binaural Audio Reproduction HRTF individualization using deep learning,

Reference 53

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Observation 0b601542-1fb9-4da4-8db1-f3717495ba18 · outbound

This paper cites An individualization approach for head-related transfer function in arbitrary directions based on deep learning,.

Deep Learning for Personalized Binaural Audio Reproduction An individualization approach for head-related transfer function in arbitrary directions based on deep learning,

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Unavailable: canonical work link unavailable.

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Observation 7b3f1a1d-58c7-405a-b5c7-1504392cafe3 · outbound

This paper cites Modelling individual head-related transfer function (HRTF) based on anthropometric parameters and generic HRTF amplitudes,.

Deep Learning for Personalized Binaural Audio Reproduction Modelling individual head-related transfer function (HRTF) based on anthropometric parameters and generic HRTF amplitudes,

Reference 55

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Observation 513805ae-77c7-4971-b904-f0be8700f9e5 · outbound

This paper cites Towards HRTF personalization using denoising diffusion models,.

Deep Learning for Personalized Binaural Audio Reproduction Towards HRTF personalization using denoising diffusion models,

Reference 56

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Observation cc7431d5-7ccd-4be8-9cd3-e5f16b23a543 · outbound

This paper cites A hybrid approach to struc- tural modeling of individualized HRTFs,.

Deep Learning for Personalized Binaural Audio Reproduction A hybrid approach to struc- tural modeling of individualized HRTFs,

Reference 57

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source=pdf_text observed=2026-08-05T13:41:02.929711Z digest=sha256:2a1b1dc76af79b859354d7dfff158b0e1e2b275c43dba479ae0f1e783bad1d90

Observation 101217c2-0253-42ef-8639-734b7afe0201 · outbound

This paper cites Magnitude modeling of personalized HRTF based on ear images and an- thropometric measurements,.

Deep Learning for Personalized Binaural Audio Reproduction Magnitude modeling of personalized HRTF based on ear images and an- thropometric measurements,

Reference 58

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Observation 66d586e7-f045-4862-8b74-51f3c5d391d7 · outbound

This paper cites PRTFNet: HRTF individualization for accurate spectral cues using a compact prtf,.

Deep Learning for Personalized Binaural Audio Reproduction PRTFNet: HRTF individualization for accurate spectral cues using a compact prtf,

Reference 59

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Observation e435f39f-9720-470b-ae66-d20ab768a483 · outbound

This paper cites A ma- chine learning approach to predicting personalized head related transfer functions and headphone equalization from video capture data,.

Deep Learning for Personalized Binaural Audio Reproduction A ma- chine learning approach to predicting personalized head related transfer functions and headphone equalization from video capture data,

Reference 60

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Observation 6af59537-4517-47ce-9bd6-d88661f74fcf · outbound

This paper cites HRTF individualization based on anthropometric mea- surements extracted from 3D head meshes,.

Deep Learning for Personalized Binaural Audio Reproduction HRTF individualization based on anthropometric mea- surements extracted from 3D head meshes,

Reference 61

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Observation 1495a75a-12ab-4939-a4a0-c6ca9680a715 · outbound

This paper cites On the predictabil- ity of HRTFs from ear shapes using deep networks,.

Deep Learning for Personalized Binaural Audio Reproduction On the predictabil- ity of HRTFs from ear shapes using deep networks,

Reference 62

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Observation 04c0aeac-690b-4475-996f-fc76de84bbcf · outbound

This paper cites Predicting Global HRTFs From Scanned Head Geometry Using Deep Learning and Compact Representations.

Deep Learning for Personalized Binaural Audio Reproduction Predicting Global HRTFs From Scanned Head Geometry Using Deep Learning and Compact Representations

Reference 63

Resolution
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Source-reported events for the cited work

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Observation 1083147a-bb2b-4db4-8980-983b6d21afdc · outbound

This paper cites Efficient prediction of individual head-related transfer functions based on 3D meshes,.

Deep Learning for Personalized Binaural Audio Reproduction Efficient prediction of individual head-related transfer functions based on 3D meshes,

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Observation 55975618-9bd1-4c30-84e6-907bc4362304 · outbound

This paper cites AudioEar: single-view ear reconstruction for personalized spatial audio,.

Deep Learning for Personalized Binaural Audio Reproduction AudioEar: single-view ear reconstruction for personalized spatial audio,

Reference 65

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Observation c6efb96a-a33b-49d7-bc5e-65ad63bf83e7 · outbound

This paper cites Denoising of photogrammetric dummy head ear point clouds for individual Head-Related Transfer Functions computation.

Deep Learning for Personalized Binaural Audio Reproduction Denoising of photogrammetric dummy head ear point clouds for individual Head-Related Transfer Functions computation

Reference 66

Resolution
verified exact
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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation b9371105-78e8-4f7f-9ba3-2363469bad0d · outbound

This paper cites HRTF estimation in the wild,.

Deep Learning for Personalized Binaural Audio Reproduction HRTF estimation in the wild,

Reference 67

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Unavailable: canonical work link unavailable.

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Observation 63cb54dd-f6b1-4c05-adec-0ef6f108bd7d · outbound

This paper cites HRTF estimation using a score- based prior,.

Deep Learning for Personalized Binaural Audio Reproduction HRTF estimation using a score- based prior,

Reference 68

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Unavailable: canonical work link unavailable.

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Observation 090f783a-9104-4dec-be4f-5f9668581505 · outbound

This paper cites Recovery of individual head-related transfer functions from a small set of measurements,.

Deep Learning for Personalized Binaural Audio Reproduction Recovery of individual head-related transfer functions from a small set of measurements,

Reference 69

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Observation 7ea88518-508b-4870-84e6-aa9423c26af4 · outbound

This paper cites Head-related impulse response interpolation in virtual sound system,.

Deep Learning for Personalized Binaural Audio Reproduction Head-related impulse response interpolation in virtual sound system,

Reference 70

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Unavailable: canonical work link unavailable.

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Observation ad84c01e-e0fc-4a4e-838a-d940100ba3b5 · outbound

This paper cites Head-related transfer function interpolation from spa- tially sparse measurements using autoencoder with source position conditioning,.

Deep Learning for Personalized Binaural Audio Reproduction Head-related transfer function interpolation from spa- tially sparse measurements using autoencoder with source position conditioning,

Reference 71

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Unavailable: canonical work link unavailable.

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Observation c557d0f5-3e8a-45ca-8a4b-16cd88269790 · outbound

This paper cites Individualizing head-related transfer functions for bin- aural acoustic applications,.

Deep Learning for Personalized Binaural Audio Reproduction Individualizing head-related transfer functions for bin- aural acoustic applications,

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d47e79c2-db84-4973-a797-7672fadd165b · outbound

This paper cites Spatial upsampling of sparse head related transfer functions-a VQ-V AE & Transformer based approach,.

Deep Learning for Personalized Binaural Audio Reproduction Spatial upsampling of sparse head related transfer functions-a VQ-V AE & Transformer based approach,

Reference 73

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Unavailable: canonical work link unavailable.

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Observation e64b6fc4-b4de-4e8b-9339-0d87e7873aea · outbound

This paper cites Spatial group- ing as a method to improve personalized head-related transfer function prediction,.

Deep Learning for Personalized Binaural Audio Reproduction Spatial group- ing as a method to improve personalized head-related transfer function prediction,

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Unavailable: canonical work link unavailable.

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Observation 09434aae-9f04-46b5-9016-213f55da9e2b · outbound

This paper cites Deep HRTF encoding & interpolation: Exploring spatial correlations using convolutional neural networks,.

Deep Learning for Personalized Binaural Audio Reproduction Deep HRTF encoding & interpolation: Exploring spatial correlations using convolutional neural networks,

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Unavailable: canonical work link unavailable.

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Observation 1cb9df40-238e-4a32-914a-5577a5e23c33 · outbound

This paper cites Modeling individual head-related transfer functions from sparse measurements using a convolutional neural network,.

Deep Learning for Personalized Binaural Audio Reproduction Modeling individual head-related transfer functions from sparse measurements using a convolutional neural network,

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:41:05.105533Z digest=sha256:c8a18a970319c9e1e45603d7d36b6143128c2d3fbe24e3fb08111df032d3a27f

Observation e1e7c63f-bfc6-4998-8c1a-4948daea539d · outbound

This paper cites Head-Related Transfer Function Interpolation with a Spherical CNN.

Deep Learning for Personalized Binaural Audio Reproduction Head-Related Transfer Function Interpolation with a Spherical CNN

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no resolver link, observed 2026-08-05T13:41:05.200710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:41:05.200710Z digest=sha256:383688980ec96202e13bcf3e948dfbcc7ca2c615ed1e3967e055c28b7af06c2c

Observation 992b0059-390f-40f3-b8ab-a20cd7212c80 · outbound

This paper cites HRTF inter- polation using a spherical neural process meta-learner,.

Deep Learning for Personalized Binaural Audio Reproduction HRTF inter- polation using a spherical neural process meta-learner,

Reference 78

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source=pdf_text observed=2026-08-05T13:41:05.255412Z digest=sha256:4a84cd592fb8fe023b33ef2941210d09d24b3a5ed0c155a81ad5713b7ca48928

Observation f22e8a24-b9c2-4bfc-b4ee-4a464a2ff864 · outbound

This paper cites Head-related transfer func- tion upsampling with spatial extrapolation features,.

Deep Learning for Personalized Binaural Audio Reproduction Head-related transfer func- tion upsampling with spatial extrapolation features,

Reference 79

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T13:41:05.431482Z digest=sha256:353fabe9305ca3f29fd95c9351893c06e3b515df405bb17f05fe6c83958dba22

Observation 99be31c3-3769-44bb-82c8-36df886b3f77 · outbound

This paper cites HRTF upsampling with a generative adversarial network using a gnomonic equiangular pro- jection,.

Deep Learning for Personalized Binaural Audio Reproduction HRTF upsampling with a generative adversarial network using a gnomonic equiangular pro- jection,

Reference 80

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T13:41:05.646626Z digest=sha256:21d13dc2c0f3f143828fbf5e898376b778b6177033863128d786de95d552abcb

Observation 815f8d7d-0646-49d6-a911-be5481395f54 · outbound

This paper cites HRTF spatial upsampling in the spherical harmonics domain employ- ing a generative adversarial network,.

Deep Learning for Personalized Binaural Audio Reproduction HRTF spatial upsampling in the spherical harmonics domain employ- ing a generative adversarial network,

Reference 81

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T13:41:05.767035Z digest=sha256:b8c356051ca6667c65546987e776604e158c92eb2cd6aa00e6449b6b1974f817

Observation b1c02cfd-f1ff-4557-9f51-7faa0d0e0889 · outbound

This paper cites A ma- chine learning approach for denoising and upsampling HRTFs,.

Deep Learning for Personalized Binaural Audio Reproduction A ma- chine learning approach for denoising and upsampling HRTFs,

Reference 82

Resolution
verified exact
raw_fallback, observed 2026-08-05T13:41:30.470242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T13:41:05.886579Z digest=sha256:0b58dce592888ffe3e1d0057ec623b4e540bbbe1370eb62c5c8db558363d9caa

Observation 17becb5a-37c2-489d-b3c1-7ccd068d3b9c · outbound

This paper cites Global HRTF in- terpolation via learned affine transformation of hyper- conditioned features,.

Deep Learning for Personalized Binaural Audio Reproduction Global HRTF in- terpolation via learned affine transformation of hyper- conditioned features,

Reference 83

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:41:06.034832Z digest=sha256:9d497b0df9954175df6b7f36c566169f571b780c5969a0a22465fda78db35665

Observation 8d92e643-164d-44e0-9e69-35e9111081e2 · outbound

This paper cites HRTF Field: unifying measured HRTF magnitude representation with neural fields,.

Deep Learning for Personalized Binaural Audio Reproduction HRTF Field: unifying measured HRTF magnitude representation with neural fields,

Reference 84

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no resolver link, observed 2026-08-05T13:41:06.144775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:41:06.144775Z digest=sha256:65998d1291d3f5ddbd1f6bcda54ffeb8932dab3cc1994039b4a30292a70d0fe0

Observation 1e4bcf49-b599-44a7-80e0-4d95ac182eda · outbound

This paper cites Spatial Upsampling of Head-Related Transfer Functions Using a Physics-Informed Neural Network.

Deep Learning for Personalized Binaural Audio Reproduction Spatial Upsampling of Head-Related Transfer Functions Using a Physics-Informed Neural Network

Reference 85

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no resolver link, observed 2026-08-05T13:41:06.285386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:41:06.285386Z digest=sha256:bda4ad87494e29d8f7aee99374d53f38cd430586684a3da1b133d626d0f77b69

Observation d2f9238b-c0a0-423c-9214-bc467b4ddcaa · outbound

This paper cites NIIRF: neural IIR filter field for HRTF upsampling and personalization,.

Deep Learning for Personalized Binaural Audio Reproduction NIIRF: neural IIR filter field for HRTF upsampling and personalization,

Reference 86

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unresolved
no resolver link, observed 2026-08-05T13:41:06.407347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:41:06.407347Z digest=sha256:c28f905afaae14dc4909cac3d5075f741fd61b1d1085efd612f1fbd086794a2a

Observation 4f3714d5-7a31-46c5-aed5-351746bc354c · outbound

This paper cites Neural Steerer: novel steering vector synthesis with a causal neural field over frequency and direction,.

Deep Learning for Personalized Binaural Audio Reproduction Neural Steerer: novel steering vector synthesis with a causal neural field over frequency and direction,

Reference 87

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no resolver link, observed 2026-08-05T13:41:06.545184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:41:06.545184Z digest=sha256:d72caed43d814fea002580625f19d2633fa7a5b7e0776e431eeca7596c7162c8

Observation 30a8a40b-30f9-4841-8135-4ad87e36076e · outbound

This paper cites Retrieval-augmented neural field for HRTF upsampling and personalization,.

Deep Learning for Personalized Binaural Audio Reproduction Retrieval-augmented neural field for HRTF upsampling and personalization,

Reference 88

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unresolved
no resolver link, observed 2026-08-05T13:41:06.678377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:41:06.678377Z digest=sha256:ef8af03d3ee2702a3374b2190aedc2a15b3e09b52437e004227431d3bbc71e2e

Observation 631faf8a-1ac1-4127-aef0-b696629d860d · outbound

This paper cites BiCG: binaural cue generation from unified HRTF datasets,.

Deep Learning for Personalized Binaural Audio Reproduction BiCG: binaural cue generation from unified HRTF datasets,

Reference 89

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:41:06.819966Z digest=sha256:f3930425ea53b343f9cb32232b85aac688fc5aea21863f889b769fb20b27b036

Observation d4a9e2d6-a442-4482-8c42-35204a3555d7 · outbound

This paper cites Neural fields in visual computing and beyond,.

Deep Learning for Personalized Binaural Audio Reproduction Neural fields in visual computing and beyond,

Reference 90

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T13:41:06.969781Z digest=sha256:33f176484eb08c700bd35d11c68449d919ac90884017450166e5cae69d3d58aa

Observation b7679fe9-e740-45ce-beb0-fdba8b011323 · outbound

This paper cites Implicit neural representations with peri- odic activation functions,.

Deep Learning for Personalized Binaural Audio Reproduction Implicit neural representations with peri- odic activation functions,

Reference 91

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:41:07.125026Z digest=sha256:bfbfc6e5fd3cfa62c7fd4d18caa7afec2118e4b88b2de7b8b461bd503a2f0062

Observation d57aec2b-1061-4786-a757-bf3ed001c263 · outbound

This paper cites Fourier features let networks learn high frequency functions in low dimensional domains,.

Deep Learning for Personalized Binaural Audio Reproduction Fourier features let networks learn high frequency functions in low dimensional domains,

Reference 92

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:41:07.235661Z digest=sha256:8ee1c438950718628fdb42a980e4df3876f07001871095a6d44297e5d75b8e4b

Observation b7d53257-70da-48f7-86d0-d6945eba7817 · outbound

This paper cites NeRF: Representing scenes as neural radiance fields for view synthesis,.

Deep Learning for Personalized Binaural Audio Reproduction NeRF: Representing scenes as neural radiance fields for view synthesis,

Reference 93

Resolution
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no resolver link, observed 2026-08-05T13:41:07.391780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:41:07.391780Z digest=sha256:11bdb019a0eea07fd6b2d1fe59cfc23c618180a96cdbafd47be02214b9169a31

Observation f8d4645d-4b77-42d6-99ff-6cb67a684e75 · outbound

This paper cites Learning neural acoustic fields,.

Deep Learning for Personalized Binaural Audio Reproduction Learning neural acoustic fields,

Reference 94

Resolution
unresolved
no resolver link, observed 2026-08-05T13:41:07.512543Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T13:41:07.512543Z digest=sha256:7e2f86d62609bc203ef3fdd6b29eea31b5da506eab90e360ab5c80ef886b0824

Observation 87c9efe2-c5e0-445b-8d83-1549b28b8e5d · outbound

This paper cites Neural Acoustic Context Field: Rendering Realistic Room Impulse Response With Neural Fields.

Deep Learning for Personalized Binaural Audio Reproduction Neural Acoustic Context Field: Rendering Realistic Room Impulse Response With Neural Fields

Reference 95

Resolution
verified exact
local_arxiv, observed 2026-08-05T13:41:30.179472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T13:41:07.669586Z digest=sha256:2d92c7185a0f03d71db58496b04bf8915cebcf573929bda50233bf1cad823d36

Observation a209d7ec-1174-45e9-a25b-7c317f97c7c0 · outbound

This paper cites an unresolved cited work.

Deep Learning for Personalized Binaural Audio Reproduction Unresolved cited work

Reference 96

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source=pdf_text observed=2026-08-05T13:41:07.843638Z digest=sha256:f6b23178138103e13300ec39e778fb9289120fa5f1831cb268253e73653bb433

Observation d481487a-457f-4736-880c-887dea0d4c89 · outbound

This paper cites Listen HRTF database,.

Deep Learning for Personalized Binaural Audio Reproduction Listen HRTF database,

Reference 97

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T13:41:07.952722Z digest=sha256:66b2a68b82be254bc5057315d48c4528010e92113671bac1e05f3a009baa6a5d

Observation eb05873a-a35c-487b-af21-c0577b564257 · outbound

This paper cites Dataset of head-related transfer functions measured with a circular loudspeaker array,.

Deep Learning for Personalized Binaural Audio Reproduction Dataset of head-related transfer functions measured with a circular loudspeaker array,

Reference 98

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no resolver link, observed 2026-08-05T13:41:08.076739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:41:08.076739Z digest=sha256:135066f071f2f23fb2966ab08a13c4e64269a44589050a4c66ffb50e6f021fac

Observation 9faa9b4e-fe7b-4421-9661-4acb93db6388 · outbound

This paper cites Measurement of a head-related transfer function database with high spatial resolution,.

Deep Learning for Personalized Binaural Audio Reproduction Measurement of a head-related transfer function database with high spatial resolution,

Reference 99

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:41:08.143551Z digest=sha256:6aee526ed7cce331ab55f44bc8e9349143d66bee1e21692aa5717e2bc1eb2e63

Observation 757108b1-73cd-4aa1-9d69-2ea76915aa9d · outbound

This paper cites Sound localiza- tion in individualized and non-individualized crosstalk cancellation systems,.

Deep Learning for Personalized Binaural Audio Reproduction Sound localiza- tion in individualized and non-individualized crosstalk cancellation systems,

Reference 100

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:41:08.279168Z digest=sha256:d502700caeb67509b5b01b31dfee9d3f146df1488a181c65bfebd1fb83059fc4

Pith citing papers

Observation 03fbbee8-1503-498d-8ff5-5e08afb4d50a · inbound

HRTFformer: A Spatially-Aware Transformer for Individual HRTF Upsampling in Immersive Audio Rendering cites this paper.

HRTFformer: A Spatially-Aware Transformer for Individual HRTF Upsampling in Immersive Audio Rendering Deep Learning for Personalized Binaural Audio Reproduction

Reference 42

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no resolver link, observed 2026-08-04T12:50:23.886751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T12:50:23.886751Z digest=sha256:922efcce8fe990fac2df22ff619dc90dd22ce333ca48ef3e4d00388e3b1968d4