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Building Reliable Voice Transcription with Scribe

Building Reliable Voice Transcription with Scribe

Accurate transcripts save time and reduce costs. Understanding your key terminology strengthens customer experiences. Automated compliance reviews scale effortlessly. And fast speech recognition makes AI agents feel seamless and natural. Join us to learn more about Scribe v2, the most accurate speech to text model, and how it can solve your transcription challenges. In this session, you'll discover how to: 1. Eliminate transcription errors on specialized terminology - Use Keyterm Prompting to ensure your product names, technical jargon, and industry terms are transcribed correctly based on context 2. Automate compliance workflows - Leverage Entity Detection to automatically flag and extract sensitive data like credit card numbers, SSNs, or medical conditions with precise timestamps 3. Power real-time AI conversations - Deploy Scribe v2 Realtime for ultra-low latency transcription that keeps your voice agents responsive and natural 4. Scale batch transcription workflows - Process customer calls, meetings, or media content with 98% accuracy and intelligent speaker diarization Whether you're in CX, compliance, media production, or building AI assistants, you'll leave with practical strategies to improve your transcription accuracy and ship faster.

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March 31

Behind the Agent: How Learna Scales Voice Learning with ElevenLabs

Language learning only works if it sounds real. For Learna, getting voice right was critical. Learna puts users in FaceTime-like conversations with an AI tutor, and the quality of that voice directly determines whether users stick around and pay. After running a live A/B test against their legacy TTS system, the results were clear: 9% uplift in trial conversion and 11% uplift in lifetime value. In this session, their team walks through how they think about voice as a growth lever - across multiple languages, multiple apps, and multiple use cases. You'll walk away with: - How voice quality directly impacts conversion and LTV - and how to test for it - What it takes to scale natural, low-latency voice across Spanish, Turkish, Arabic and beyond - How Codeway built a shared voice infrastructure across a multi-app portfolio

March 24

ElevenLabs 코리아 웨비나 시리즈 - ElevenAgent 최신 업데이트와 Snow Corp의 실제 활용 사례 공유

말의 내용이 아니라, 감정과 맥락을 읽는 Voice Agent 많은 기업들이 Voice AI를 도입하면서도 같은 고민을 합니다. "왜 우리 AI는 고객이 화났을 때도 똑같은 톤으로 말할까?" "자연스럽게 대화하는 AI, 정말 만들 수 있을까?" ElevenLabs가 그 질문에 답합니다. ElevenAgents Expressive Mode 감정 신호와 발화 패턴을 실시간으로 감지해, 말의 타이밍·톤·템포까지 조절하는 차세대 Voice Agent입니다. 단순한 TTS 업그레이드가 아닌, 고객이 어떻게 말하는지를 이해하고 반응하는 대화 AI, 이번 웨비나에서 공개합니다. Contents ① ElevenAgent Expressive Mode 공개 — 어떤 기술이고, 기존 Voice Agent와 무엇이 다른지 ② 라이브 데모 - ElevenAgent가 고객의 불만·긴급·혼란 상황을 AI가 실시간으로 처리하는 장면 ③ 고객사례 (Snow) - Snow에 대한 간단한 소개 및 ElevenLabs 도입 배경, 그리고 활용 사례에 대하여 Snow의 AI Solution Team Lead이신 김희준 팀장님께서 공유 해주실 예정입니다. 이런 분이라면, 꼭 참석해 보세요 고객 응대를 자동화하고 싶지만, "AI 같다"는 인상이 걱정되는 분 Voice Bot을 운영 중인데 CSAT가 기대에 못 미치는 분 경쟁사보다 한 발 앞선 CX 전략을 고민하는 분 Voice AI 도입을 검토 중이고, 실제 사례가 궁금한 분 많은 관심 부탁 드립니다.

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