{"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/end-to-end-language-identification-using","title":"End-to-end Language Identification using NetFV and NetVLAD","arxiv_id":"1809.02906","date":"2018-09-09","proceeding":null,"authors":["Jinkun Chen","Weicheng Cai","Danwei Cai","Zexin Cai","Haibin Zhong","Ming Li"],"abstract":"In this paper, we apply the NetFV and NetVLAD layers for the end-to-end\nlanguage identification task. NetFV and NetVLAD layers are the differentiable\nimplementations of the standard Fisher Vector and Vector of Locally Aggregated\nDescriptors (VLAD) methods, respectively. Both of them can encode a sequence of\nfeature vectors into a fixed dimensional vector which is very important to\nprocess those variable-length utterances. We first present the relevances and\ndifferences between the classical i-vector and the aforementioned encoding\nschemes. Then, we construct a flexible end-to-end framework including a\nconvolutional neural network (CNN) architecture and an encoding layer (NetFV or\nNetVLAD) for the language identification task. Experimental results on the NIST\nLRE 2007 close-set task show that the proposed system achieves significant EER\nreductions against the conventional i-vector baseline and the CNN temporal\naverage pooling system, respectively.","url_abs":"http://arxiv.org/abs/1809.02906v1","url_pdf":"http://arxiv.org/pdf/1809.02906v1.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":"end-to-end-language-identification-using","repo_url":"https://github.com/jkchen79/netvlad-in-speech","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}}],"tasks":[{"task_slug":"language-identification","task_name":"Language Identification"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}