{"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/audio-tagging-with-connectionist-temporal","title":"Audio Tagging With Connectionist Temporal Classification Model Using Sequential Labelled Data","arxiv_id":"1808.01935","date":"2018-08-06","proceeding":null,"authors":["Yuanbo Hou","Qiuqiang Kong","Shengchen Li"],"abstract":"Audio tagging aims to predict one or several labels in an audio clip. Many\nprevious works use weakly labelled data (WLD) for audio tagging, where only\npresence or absence of sound events is known, but the order of sound events is\nunknown. To use the order information of sound events, we propose sequential\nlabelled data (SLD), where both the presence or absence and the order\ninformation of sound events are known. To utilize SLD in audio tagging, we\npropose a Convolutional Recurrent Neural Network followed by a Connectionist\nTemporal Classification (CRNN-CTC) objective function to map from an audio clip\nspectrogram to SLD. Experiments show that CRNN-CTC obtains an Area Under Curve\n(AUC) score of 0.986 in audio tagging, outperforming the baseline CRNN of 0.908\nand 0.815 with Max Pooling and Average Pooling, respectively. In addition, we\nshow CRNN-CTC has the ability to predict the order of sound events in an audio\nclip.","url_abs":"http://arxiv.org/abs/1808.01935v1","url_pdf":"http://arxiv.org/pdf/1808.01935v1.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":"audio-tagging-with-connectionist-temporal","repo_url":"https://github.com/iooops/CS221-Audio-Tagging","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"MIT"}}],"tasks":[{"task_slug":"audio-tagging","task_name":"Audio Tagging"},{"task_slug":"classification","task_name":"General Classification"}],"methods":[{"method_slug":"average-pooling","method_name":"Average Pooling"},{"method_slug":"max-pooling","method_name":"Max Pooling"}],"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}