{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,18]],"date-time":"2026-07-18T06:04:14Z","timestamp":1784354654021,"version":"3.55.0"},"publisher-location":"Cham","reference-count":26,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032323347","type":"print"},{"value":"9783032323354","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,7,19]],"date-time":"2026-07-19T00:00:00Z","timestamp":1784419200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,7,19]],"date-time":"2026-07-19T00:00:00Z","timestamp":1784419200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2027]]},"DOI":"10.1007\/978-3-032-32335-4_18","type":"book-chapter","created":{"date-parts":[[2026,7,18]],"date-time":"2026-07-18T05:29:43Z","timestamp":1784352583000},"page":"228-235","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Safeguards for Speech2Speech LLM-Assistants: A Case Study in Automotive Applications"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-7405-4990","authenticated-orcid":false,"given":"Gregor","family":"Endler","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sebastian","family":"Kraus","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lukas","family":"Stappen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,7,19]]},"reference":[{"key":"18_CR1","unstructured":"Amazon: Amazon Nova Sonic: Technical report and model card. https:\/\/www.amazon.science\/publications\/amazon-nova-sonic-technical-report-and-model-card. Accessed 31 Mar 2026"},{"key":"18_CR2","unstructured":"Amazon: Controlling how tools are chosen. https:\/\/docs.aws.amazon.com\/nova\/latest\/userguide\/speech-tools-choice.html. Accessed 31 Mar 2026"},{"key":"18_CR3","unstructured":"Amazon: How Amazon Bedrock Guardrails works. https:\/\/docs.aws.amazon.com\/bedrock\/latest\/userguide\/guardrails-how.html. Accessed 31 Mar 2026"},{"key":"18_CR4","unstructured":"Amazon: Introducing Amazon Nova Sonic: Human-like voice conversations for generative AI applications. https:\/\/aws.amazon.com\/blogs\/aws\/introducing-amazon-nova-sonic-human-like-voice-conversations-for-generative-ai-applications\/. Accessed 31 Mar 2026"},{"key":"18_CR5","unstructured":"Arora, S., et al.: On the landscape of spoken language models: a comprehensive survey. arXiv preprint arXiv:2504.08528 (2025)"},{"issue":"1","key":"18_CR6","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1002\/j.1538-7305.1971.tb02538.x","volume":"50","author":"PT Brady","year":"1971","unstructured":"Brady, P.T.: Effects of transmission delay on conversational behavior on echo-free telephone circuits. Bell Syst. Tech. J. 50(1), 115\u2013134 (1971)","journal-title":"Bell Syst. Tech. J."},{"key":"18_CR7","doi-asserted-by":"publisher","unstructured":"Cui, W., et al.: Recent advances in speech language models: a survey. In: Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp. 13943\u201313970. Association for Computational Linguistics (2025). https:\/\/doi.org\/10.18653\/v1\/2025.acl-long.682","DOI":"10.18653\/v1\/2025.acl-long.682"},{"key":"18_CR8","unstructured":"D\u00e9fossez, A., et al.: Moshi: a speech-text foundation model for real-time dialogue. arXiv preprint arXiv:2410.00037 (2024)"},{"key":"18_CR9","unstructured":"Ding, D., et al.: Kimi-audio technical report. arXiv preprint arXiv:2504.18425 (2025)"},{"key":"18_CR10","doi-asserted-by":"publisher","unstructured":"Dong, Y., et al.: Building guardrails for large language models. arXiv preprint arXiv:2402.01822 (2024). https:\/\/doi.org\/10.48550\/ARXIV.2402.01822","DOI":"10.48550\/ARXIV.2402.01822"},{"key":"18_CR11","unstructured":"Google: Gemini 2.5 Flash with Gemini Live API. https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/models\/gemini\/2-5-flash-live-api. Accessed 31 Mar 2026"},{"key":"18_CR12","unstructured":"Google: Safety and content filters. https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/multimodal\/configure-safety-filters. Accessed 31 Mar 2026"},{"key":"18_CR13","unstructured":"Guardrails AI: The AI Reliability Platform. https:\/\/www.guardrailsai.com\/. Accessed 31 Mar 2026"},{"key":"18_CR14","unstructured":"International Organization for Standardization: ISO\/SAE 21434 Road vehicles \u2013 Cybersecurity engineering. https:\/\/www.iso.org\/standard\/70918.html. Accessed 31 Mar 2026"},{"issue":"2","key":"18_CR15","doi-asserted-by":"publisher","first-page":"286","DOI":"10.1121\/1.1910338","volume":"41","author":"RM Krauss","year":"1967","unstructured":"Krauss, R.M., Bricker, P.D.: Effects of transmission delay and access delay on the efficiency of verbal communication. J. Acoust. Soc. Am. 41(2), 286\u2013292 (1967)","journal-title":"J. Acoust. Soc. Am."},{"key":"18_CR16","unstructured":"Long, Z., et al.: Vita-audio: fast interleaved cross-modal token generation for efficient large speech-language model. arXiv preprint arXiv:2505.03739 (2025)"},{"key":"18_CR17","unstructured":"NVIDIA: NVIDIA NeMo Guardrails for Developers. https:\/\/developer.nvidia.com\/nemo-guardrails. Accessed 31 Mar 2026"},{"key":"18_CR18","unstructured":"OpenAI: Moderation. https:\/\/platform.openai.com\/docs\/guides\/moderation. Accessed 31 Mar 2026"},{"key":"18_CR19","unstructured":"OpenAI: Realtime API. https:\/\/platform.openai.com\/docs\/guides\/realtime. Accessed 31 Mar 2026"},{"key":"18_CR20","unstructured":"OpenAI: Speech to text. https:\/\/platform.openai.com\/docs\/guides\/speech-to-text. Accessed 31 Mar 2026"},{"issue":"2","key":"18_CR21","doi-asserted-by":"publisher","DOI":"10.1016\/j.jsis.2024.101885","volume":"34","author":"E Papagiannidis","year":"2025","unstructured":"Papagiannidis, E., Mikalef, P., Conboy, K.: Responsible artificial intelligence governance: a review and research framework. J. Strateg. Inf. Syst. 34(2), 101885 (2025). https:\/\/doi.org\/10.1016\/j.jsis.2024.101885","journal-title":"J. Strateg. Inf. Syst."},{"key":"18_CR22","doi-asserted-by":"crossref","unstructured":"Peng, J., et al.: A survey on speech large language models for understanding. Authorea Preprints (2025)","DOI":"10.36227\/techrxiv.175321809.95815200\/v1"},{"key":"18_CR23","doi-asserted-by":"publisher","unstructured":"Schoenenberg, K., Raake, A., Koeppe, J.: Why are you so slow? - misattribution of transmission delay to attributes of the conversation partner at the far-end. Int. J. Hum.-Comput. Stud. 72 (2014). https:\/\/doi.org\/10.1016\/j.ijhcs.2014.02.004","DOI":"10.1016\/j.ijhcs.2014.02.004"},{"key":"18_CR24","doi-asserted-by":"publisher","unstructured":"Strohmier, H., Dasri, Y., Murzello, D.: Exploring security vulnerabilities in chatgpt through multi-technique evaluation of resilience to jailbreak prompts and defensive measures. In: 2024 International Conference on Computer and Applications (ICCA), pp. 1\u201312. IEEE (2024). https:\/\/doi.org\/10.1109\/icca62237.2024.10928071","DOI":"10.1109\/icca62237.2024.10928071"},{"key":"18_CR25","unstructured":"Xu, J., et al.: Qwen2. 5-omni technical report. arXiv preprint arXiv:2503.20215 (2025)"},{"issue":"4","key":"18_CR26","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3527153","volume":"55","author":"C Yan","year":"2022","unstructured":"Yan, C., Ji, X., Wang, K., Jiang, Q., Jin, Z., Xu, W.: A survey on voice assistant security: attacks and countermeasures. ACM Comput. Surv. 55(4), 1\u201336 (2022). https:\/\/doi.org\/10.1145\/3527153","journal-title":"ACM Comput. Surv."}],"container-title":["Lecture Notes in Computer Science","KI 2026: Advances in Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-32335-4_18","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,18]],"date-time":"2026-07-18T05:29:44Z","timestamp":1784352584000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-32335-4_18"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,19]]},"ISBN":["9783032323347","9783032323354"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-32335-4_18","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,7,19]]},"assertion":[{"value":"19 July 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"KI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"German Conference on Artificial Intelligence (K\u00fcnstliche Intelligenz)","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Bremen","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Germany","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2026","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 August 2026","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 August 2026","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"49","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ki2026","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ki2026.gi.de\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}