{"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/identifying-speakers-in-dialogue-transcripts","title":"Identifying Speakers in Dialogue Transcripts: A Text-based Approach Using Pretrained Language Models","arxiv_id":"2407.12094","date":"2024-07-16","proceeding":null,"authors":["Minh Nguyen","Franck Dernoncourt","Seunghyun Yoon","Hanieh Deilamsalehy","Hao Tan","Ryan Rossi","Quan Hung Tran","Trung Bui","Thien Huu Nguyen"],"abstract":"We introduce an approach to identifying speaker names in dialogue transcripts, a crucial task for enhancing content accessibility and searchability in digital media archives. Despite the advancements in speech recognition, the task of text-based speaker identification (SpeakerID) has received limited attention, lacking large-scale, diverse datasets for effective model training. Addressing these gaps, we present a novel, large-scale dataset derived from the MediaSum corpus, encompassing transcripts from a wide range of media sources. We propose novel transformer-based models tailored for SpeakerID, leveraging contextual cues within dialogues to accurately attribute speaker names. Through extensive experiments, our best model achieves a great precision of 80.3\\%, setting a new benchmark for SpeakerID. The data and code are publicly available here: \\url{https://github.com/adobe-research/speaker-identification}","url_abs":"https://arxiv.org/abs/2407.12094v1","url_pdf":"https://arxiv.org/pdf/2407.12094v1.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":"identifying-speakers-in-dialogue-transcripts","repo_url":"https://github.com/adobe-research/speaker-identification","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"attribute","task_name":"Attribute"},{"task_slug":"speaker-identification","task_name":"Speaker Identification"},{"task_slug":"speech-recognition","task_name":"Speech Recognition"},{"task_slug":"speech-recognition-1","task_name":"speech-recognition"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}