{"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/building-a-taiwanese-mandarin-spoken-language","title":"Building a Taiwanese Mandarin Spoken Language Model: A First Attempt","arxiv_id":"2411.07111","date":"2024-11-11","proceeding":null,"authors":["Chih-Kai Yang","Yu-Kuan Fu","Chen-An Li","Yi-Cheng Lin","Yu-Xiang Lin","Wei-Chih Chen","Ho Lam Chung","Chun-Yi Kuan","Wei-Ping Huang","Ke-Han Lu","Tzu-Quan Lin","Hsiu-Hsuan Wang","En-Pei Hu","Chan-Jan Hsu","Liang-Hsuan Tseng","I-Hsiang Chiu","Ulin Sanga","Xuanjun Chen","Po-chun Hsu","Shu-wen Yang","Hung-Yi Lee"],"abstract":"This technical report presents our initial attempt to build a spoken large language model (LLM) for Taiwanese Mandarin, specifically tailored to enable real-time, speech-to-speech interaction in multi-turn conversations. Our end-to-end model incorporates a decoder-only transformer architecture and aims to achieve seamless interaction while preserving the conversational flow, including full-duplex capabilities allowing simultaneous speaking and listening. The paper also details the training process, including data preparation with synthesized dialogues and adjustments for real-time interaction. We also developed a platform to evaluate conversational fluency and response coherence in multi-turn dialogues. We hope the release of the report can contribute to the future development of spoken LLMs in Taiwanese Mandarin.","url_abs":"https://arxiv.org/abs/2411.07111v2","url_pdf":"https://arxiv.org/pdf/2411.07111v2.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":"building-a-taiwanese-mandarin-spoken-language","repo_url":"https://github.com/nervjack2/SpeechChatGPTStreaming","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"decoder","task_name":"Decoder"},{"task_slug":"language-modeling","task_name":"Language Modeling"},{"task_slug":"language-modelling","task_name":"Language Modelling"},{"task_slug":"large-language-model","task_name":"Large Language Model"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":"https://app.syntology.ai/?focus=2411.07111","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}