{"id":"https://openalex.org/W7147136531","doi":"https://doi.org/10.48550/arxiv.2603.27342","title":"SHroom: A Python Framework for Ambisonics Room Acoustics Simulation and Binaural Rendering","display_name":"SHroom: A Python Framework for Ambisonics Room Acoustics Simulation and Binaural Rendering","publication_year":2026,"publication_date":"2026-03-28","ids":{"openalex":"https://openalex.org/W7147136531","doi":"https://doi.org/10.48550/arxiv.2603.27342"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.27342","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.27342","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.27342","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5094040104","display_name":"Yhonatan Gayer","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Gayer, Yhonatan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5094040104"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10283","display_name":"Hearing Loss and Rehabilitation","score":0.902899980545044,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10283","display_name":"Hearing Loss and Rehabilitation","score":0.902899980545044,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.03799999877810478,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11349","display_name":"Music Technology and Sound Studies","score":0.00989999994635582,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/binaural-recording","display_name":"Binaural recording","score":0.8359000086784363},{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.6797999739646912},{"id":"https://openalex.org/keywords/ambisonics","display_name":"Ambisonics","score":0.5846999883651733},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.5623999834060669},{"id":"https://openalex.org/keywords/spherical-harmonics","display_name":"Spherical harmonics","score":0.5313000082969666},{"id":"https://openalex.org/keywords/room-acoustics","display_name":"Room acoustics","score":0.4336000084877014}],"concepts":[{"id":"https://openalex.org/C201247586","wikidata":"https://www.wikidata.org/wiki/Q5612967","display_name":"Binaural recording","level":2,"score":0.8359000086784363},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.6797999739646912},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.6266000270843506},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5960000157356262},{"id":"https://openalex.org/C47726159","wikidata":"https://www.wikidata.org/wiki/Q457547","display_name":"Ambisonics","level":3,"score":0.5846999883651733},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.5791000127792358},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.5623999834060669},{"id":"https://openalex.org/C3768446","wikidata":"https://www.wikidata.org/wiki/Q877100","display_name":"Spherical harmonics","level":2,"score":0.5313000082969666},{"id":"https://openalex.org/C178432105","wikidata":"https://www.wikidata.org/wiki/Q2182127","display_name":"Room acoustics","level":3,"score":0.4336000084877014},{"id":"https://openalex.org/C188414643","wikidata":"https://www.wikidata.org/wiki/Q3001183","display_name":"Harmonics","level":3,"score":0.3659000098705292},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3118000030517578},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.29109999537467957},{"id":"https://openalex.org/C2779688405","wikidata":"https://www.wikidata.org/wiki/Q263421","display_name":"Landing gear","level":2,"score":0.2799000144004822},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.27549999952316284},{"id":"https://openalex.org/C70836080","wikidata":"https://www.wikidata.org/wiki/Q837940","display_name":"Impulse (physics)","level":2,"score":0.27410000562667847},{"id":"https://openalex.org/C9940772","wikidata":"https://www.wikidata.org/wiki/Q557399","display_name":"Psychoacoustics","level":3,"score":0.27160000801086426},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.26429998874664307},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.2567000091075897},{"id":"https://openalex.org/C116921373","wikidata":"https://www.wikidata.org/wiki/Q2816483","display_name":"Real-time rendering","level":3,"score":0.25110000371932983},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.25049999356269836}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.27342","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.27342","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.27342","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.27342","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Spherical":[0,28],"Harmonics":[1,29],"ROOM),":[2],"an":[3,50],"open-source":[4],"Python":[5],"library":[6],"for":[7,36],"room":[8],"acoustics":[9],"simulation":[10],"using":[11],"Ambisonics,":[12],"available":[13],"at":[14,67,100],"https://github.com/Yhonatangayer/shroom":[15],"and":[16,42],"installable":[17],"via":[18],"\\texttt{pip":[19],"install":[20],"pyshroom}.":[21],"\\textbf{shroom}":[22,53,95],"projects":[23],"image-source":[24],"contributions":[25],"onto":[26],"a":[27,33,97],"(SH)":[30],"basis,":[31],"yielding":[32],"composable":[34],"pipeline":[35],"binaural":[37],"decoding,":[38],"spherical":[39],"array":[40],"simulation,":[41],"real-time":[43,108],"head":[44,93],"rotation.":[45],"Benchmarked":[46],"against":[47],"\\texttt{pyroomacoustics}":[48],"with":[49,54],"$N=30$":[51],"reference,":[52],"Magnitude":[55],"Least":[56],"Squares":[57],"(MagLS)":[58],"achieves":[59],"perceptual":[60],"transparency":[61],"(2.02~dB":[62],"Log":[63],"Spectral":[64],"Distance":[65],"(LSD)":[66],"$N=5$,":[68],"within":[69],"the":[70,104],"1--2~dB":[71],"Just":[72],"Noticeable":[73],"Difference":[74],"(JND))":[75],"while":[76],"its":[77],"fixed-once":[78],"decode":[79],"amortises":[80],"over":[81],"multiple":[82],"sources":[83],"($K=1$-to-$8$:":[84],"slowdown":[85],"narrows":[86],"from":[87],"$7\\times$":[88],"to":[89],"$3.1\\times$).":[90],"For":[91],"dynamic":[92],"rotation,":[94],"applies":[96],"Wigner-D":[98],"multiply":[99],"$&lt;1$~ms/frame,":[101],"making":[102],"it":[103],"only":[105],"architecturally":[106],"viable":[107],"choice.":[109]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-04-02T00:00:00"}
