{"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/m3-audiodec-multi-channel-multi-speaker-multi","title":"BANC: Towards Efficient Binaural Audio Neural Codec for Overlapping Speech","arxiv_id":"2309.07416","date":"2023-09-14","proceeding":null,"authors":["Anton Ratnarajah","Shi-Xiong Zhang","Dong Yu"],"abstract":"We introduce BANC, a neural binaural audio codec designed for efficient speech compression in single and two-speaker scenarios while preserving the spatial location information of each speaker. Our key contributions are as follows: 1) The ability of our proposed model to compress and decode overlapping speech. 2) A novel architecture that compresses speech content and spatial cues separately, ensuring the preservation of each speaker's spatial context after decoding. 3) BANC's proficiency in reducing the bandwidth required for compressing binaural speech by 48% compared to compressing individual binaural channels. In our evaluation, we employed speech enhancement, room acoustics, and perceptual metrics to assess the accuracy of BANC's clean speech and spatial cue estimates.","url_abs":"https://arxiv.org/abs/2309.07416v4","url_pdf":"https://arxiv.org/pdf/2309.07416v4.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":"links_only","authors_date_abstract":"arXiv metadata, CC0 1.0 (https://info.arxiv.org/help/license), from the Kaggle arXiv metadata snapshot of 2026-09-12"},"code_links":[{"paper_slug":"m3-audiodec-multi-channel-multi-speaker-multi","repo_url":"https://github.com/anton-jeran/MULTI-AUDIODEC","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}},{"paper_slug":"m3-audiodec-multi-channel-multi-speaker-multi","repo_url":"https://github.com/anton-jeran/Speech2RIR","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"pytorch","reach":{"status":"ok","spdx":"NOASSERTION"}}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}