{"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/siamese-siren-audio-compression-with-implicit","title":"Siamese SIREN: Audio Compression with Implicit Neural Representations","arxiv_id":"2306.12957","date":"2023-06-22","proceeding":null,"authors":["Luca A. Lanzendörfer","Roger Wattenhofer"],"abstract":"Implicit Neural Representations (INRs) have emerged as a promising method for representing diverse data modalities, including 3D shapes, images, and audio. While recent research has demonstrated successful applications of INRs in image and 3D shape compression, their potential for audio compression remains largely unexplored. Motivated by this, we present a preliminary investigation into the use of INRs for audio compression. Our study introduces Siamese SIREN, a novel approach based on the popular SIREN architecture. Our experimental results indicate that Siamese SIREN achieves superior audio reconstruction fidelity while utilizing fewer network parameters compared to previous INR architectures.","url_abs":"https://arxiv.org/abs/2306.12957v1","url_pdf":"https://arxiv.org/pdf/2306.12957v1.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":"siamese-siren-audio-compression-with-implicit","repo_url":"https://github.com/lucala/siamese-siren","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"audio-compression","task_name":"Audio Compression"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=2306.12957","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2306.12957"}},"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":"deterministic:regex_extraction","url":"https://github.com/lucala/siamese-siren","reach":null}],"summary":{"ran":3,"ran_draft_wrong":2,"unverified":1},"by_repo_kind":{"official":{"samples":6,"ran":5,"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":0,"samples":[{"code_sha256_prefix":"6b45c9c8e83bdda7","entry":"PosEncodingNeRF","repo":"lucala/siamese-siren","repo_kind":"official","path":"model.py","file_url":"https://github.com/lucala/siamese-siren/blob/HEAD/model.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":"deterministic","behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"6b45c9c8e83bdda7"}},{"code_sha256_prefix":"4fd6f2fa39dc8750","entry":"SiameseSiren","repo":"lucala/siamese-siren","repo_kind":"official","path":"model.py","file_url":"https://github.com/lucala/siamese-siren/blob/HEAD/model.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"4fd6f2fa39dc8750"}},{"code_sha256_prefix":"98ec45500a663e44","entry":"SineLayer","repo":"lucala/siamese-siren","repo_kind":"official","path":"model.py","file_url":"https://github.com/lucala/siamese-siren/blob/HEAD/model.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"98ec45500a663e44"}},{"code_sha256_prefix":"21b62ab84fa19b1c","entry":"find_value_for_string","repo":"lucala/siamese-siren","repo_kind":"official","path":"train_and_eval_siam.py","file_url":"https://github.com/lucala/siamese-siren/blob/HEAD/train_and_eval_siam.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":"deterministic","behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"21b62ab84fa19b1c"}},{"code_sha256_prefix":"423e96165308d633","entry":"get_model_parameters","repo":"lucala/siamese-siren","repo_kind":"official","path":"train_and_eval_siam.py","file_url":"https://github.com/lucala/siamese-siren/blob/HEAD/train_and_eval_siam.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":"deterministic","behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"423e96165308d633"}},{"code_sha256_prefix":"bbe7fc3306995b12","entry":"size_of_model","repo":"lucala/siamese-siren","repo_kind":"official","path":"train_and_eval_siam.py","file_url":"https://github.com/lucala/siamese-siren/blob/HEAD/train_and_eval_siam.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"bbe7fc3306995b12"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}