"Trợ lý giọng nói thất bại không phải vì AI kém mà vì thiết kế như câu hỏi thường gặp. Con người muốn tương tác, không phải thẩm vấn. #TrợLýGiọngNói #VoiceBots #AI #ThiếtKế #Interaction #TươngTác"
"Trợ lý giọng nói thất bại không phải vì AI kém mà vì thiết kế như câu hỏi thường gặp. Con người muốn tương tác, không phải thẩm vấn. #TrợLýGiọngNói #VoiceBots #AI #ThiếtKế #Interaction #TươngTác"
How Voicebots Are Evolving in 2025: From Scripts to Real Conversations
#Voicebots #AIinCustomerService #CloudCallCenter #CustomerExperience #OmnichannelSupport #DigitalTransformation #AI #CXInnovation #SmartCustomerSupport #FutureOfCX
Smart Bot AI Explained: How Leading Bot Companies Deliver ROI
Read here: https://telecom-tech-1.blogspot.com/2025/10/smart-bot-ai-explained.html
#SmartBotAI #AIAutomation #Chatbots #VoiceBots #BusinessGrowth #CustomerExperience #AIInnovation #DigitalTransformation #AIForBusiness #BotTechnology #AI
When Smart Bots Become Your Customer’s New Best Friend
Read More: https://ideaexpress.us/when-smart-bots-become-your-customers-new-best-friend/
#Voicebots #ConversationalIVR #CustomerExperience #SmartBots #AIinCustomerService
Voice Bots vs Traditional Call Systems: Why Smartbots AI Leads the Way
Read more: https://crivva.com/voice-bots-vs-traditional-calls-why-smartbots-lead/
#VoiceBots #SmartbotsAI #AI #CustomerService #CallCenterTech #Automation #AIbots #TechInnovation #CX
#OpenAI also released other new features, such as #WebRTC support [4] and increased maximum session length from 15 to 30 minutes [5].
[4] https://platform.openai.com/docs/guides/realtime-webrtc
[5] https://platform.openai.com/docs/guides/realtime-model-capabilities#session-lifecycle-events
💸 #OpenAI is going after one of the major pain points of its audio-native models: price. The newest audio model, `gpt-4o-realtime-preview-2024-12-17`, will cost 60% less than its predecessor. #gpt-4o-mini also becomes available through Realtime API, at 10x cheaper cost per token than the old gpt-4o-realtime (10$/M token input, 20$/M tokens output) [3].
🚦 #LiveKit released a transformers-based, semantic End-of-Turn detector, #opensource on #HuggingFace[1]! This model complements voice activity detectors (#VAD) by predicting whether the user's sentence is complete. This helps reduce false starts up to 85% according to their own testing, and is text-based, with a very low latency (~50ms). Find all the details in their post [2].
[1] https://huggingface.co/livekit/turn-detector
[2] https://blog.livekit.io/using-a-transformer-to-improve-end-of-turn-detection