{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/meshrir-a-dataset-of-room-impulse-responses","title":"MeshRIR: A Dataset of Room Impulse Responses on Meshed Grid Points For Evaluating Sound Field Analysis and Synthesis Methods","arxiv_id":"2106.10801","date":"2021-06-21","proceeding":null,"authors":["Shoichi Koyama","Tomoya Nishida","Keisuke Kimura","Takumi Abe","Natsuki Ueno","Jesper Brunnström"],"abstract":"A new impulse response (IR) dataset called \"MeshRIR\" is introduced. Currently available datasets usually include IRs at an array of microphones from several source positions under various room conditions, which are basically designed for evaluating speech enhancement and distant speech recognition methods. On the other hand, methods of estimating or controlling spatial sound fields have been extensively investigated in recent years; however, the current IR datasets are not applicable to validating and comparing these methods because of the low spatial resolution of measurement points. MeshRIR consists of IRs measured at positions obtained by finely discretizing a spatial region. Two subdatasets are currently available: one consists of IRs in a three-dimensional cuboidal region from a single source, and the other consists of IRs in a two-dimensional square region from an array of 32 sources. Therefore, MeshRIR is suitable for evaluating sound field analysis and synthesis methods. This dataset is freely available at https://sh01k.github.io/MeshRIR/ with some codes of sample applications.","url_abs":"https://arxiv.org/abs/2106.10801v2","url_pdf":"https://arxiv.org/pdf/2106.10801v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"meshrir-a-dataset-of-room-impulse-responses","repo_url":"https://github.com/sh01k/MeshRIR","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":null},{"paper_slug":"meshrir-a-dataset-of-room-impulse-responses","repo_url":"https://github.com/royjames/room-impulse-responses","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}}],"tasks":[{"task_slug":"distant-speech-recognition","task_name":"Distant Speech Recognition"},{"task_slug":"room-impulse-response-rir","task_name":"Room Impulse Response (RIR)"},{"task_slug":"speech-enhancement","task_name":"Speech Enhancement"},{"task_slug":"speech-recognition","task_name":"Speech Recognition"},{"task_slug":"speech-recognition-1","task_name":"speech-recognition"}],"methods":[],"datasets_introduced":[{"slug":"meshrir","name":"MeshRIR","full_name":""}],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=2106.10801","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2106.10801"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-24T18:15:14+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. Samples come from repositories linked to the paper, official or community; repo_kind says which.","repos":[{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/royjames/room-impulse-responses","reach":{"status":"ok"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/sh01k/MeshRIR","reach":null}],"summary":{"ran_violates":3},"by_repo_kind":{"official":{"samples":3,"ran":3,"repositories":1}},"repo_kind_vocabulary":{"official":"The archive marks this repository official for the paper","named_in_paper":"The archive records that the paper mentions this repository; it is not marked official","listed":"In the archive's code links for this paper, not marked official and not recorded as mentioned in the paper","found_in_text":"Syntology found this repository in the paper's own text; whether it is the authors' implementation is not asserted","community":"Not in the archive's code links for this paper; a community repository Syntology harvested"},"n_pointer_only_for_licence":3,"samples":[{"code_sha256_prefix":"6d598a68021f8c82","entry":"cart2pol","repo":"sh01k/MeshRIR","repo_kind":"official","path":"example/sf_func.py","file_url":"https://github.com/sh01k/MeshRIR/blob/HEAD/example/sf_func.py","link_basis":"first_harvest_node","language":"python","status":"ran_violates","verification_level":1,"contract_check":"VIOLATES","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"CC-BY-4.0","inline_ok":false,"mcp_get_code":{"code_sha256":"6d598a68021f8c82"}},{"code_sha256_prefix":"c704436997d29ee1","entry":"cart2sph","repo":"sh01k/MeshRIR","repo_kind":"official","path":"example/sf_func.py","file_url":"https://github.com/sh01k/MeshRIR/blob/HEAD/example/sf_func.py","link_basis":"first_harvest_node","language":"python","status":"ran_violates","verification_level":1,"contract_check":"VIOLATES","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"CC-BY-4.0","inline_ok":false,"mcp_get_code":{"code_sha256":"c704436997d29ee1"}},{"code_sha256_prefix":"f1160b04d48d2ac0","entry":"pol2cart","repo":"sh01k/MeshRIR","repo_kind":"official","path":"example/sf_func.py","file_url":"https://github.com/sh01k/MeshRIR/blob/HEAD/example/sf_func.py","link_basis":"first_harvest_node","language":"python","status":"ran_violates","verification_level":1,"contract_check":"VIOLATES","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"CC-BY-4.0","inline_ok":false,"mcp_get_code":{"code_sha256":"f1160b04d48d2ac0"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}