Optimizing Vietnamese Voicebots: Reducing Latency and Boosting IVR Naturalness
Discover key techniques to minimize TTS latency and enhance voicebot naturalness for Vietnamese IVR systems, ensuring a seamless customer experience.
Dr. Giang Vo
CEO, AIVISION
Dr. Giang Vo is the CEO of AIVISION, leading the development of s2speech — speech recognition, AI voices and a large language model for Vietnamese — and working with companies at home and abroad on their deployments.
Articles by this author
Handling Field Noise: Improving Vietnamese Speech-to-Text Accuracy
Discover practical strategies for handling field noise in Vietnamese speech-to-text systems, from hardware optimization to AI model tuning for higher accuracy.
Building a 24/7 Voicebot: Combining Vietnamese STT, TTS, and LLM APIs
Discover the technical architecture for building a robust 24/7 voicebot. This guide covers integrating Speech-to-Text, LLMs, and Text-to-Speech for natural Vietnamese interactions.
Building a Vietnamese Voice Chatbot: Step-by-Step Integration Guide
A technical roadmap for integrating Speech-to-Text, LLM, and Text-to-Speech APIs to create a low-latency, accurate Vietnamese voice assistant.
10 Common Vietnamese Voice Commands for AI Assistants
Learn the most effective Vietnamese voice commands to control smart devices, search information, and manage your schedule efficiently.
Per-Token Speech AI Pricing: How AIVISION Publishes Every Price
Discover how AIVISION uses transparent per-token pricing for Speech-to-Text. Learn to predict costs, optimize budgets, and manage your AI expenses easily.
Northern, Central and Southern Accents: How AI Handles Vietnamese Dialects
Vietnamese dialects pose unique challenges for speech AI. This article analyzes how modern systems process regional variations and improve recognition accuracy.
Voice AI Ethics: Consent, Audio Deepfakes and How to Prevent Them
Audio deepfakes pose a growing threat to personal security. This guide outlines the ethical foundations of Voice AI and practical steps to verify identity and prevent fraud.
The Future of Vietnamese AI: Speech and Language Trends to 2030
The shift toward voice- interfaces and real-time speech AI is redefining digital interaction. This guide analyzes the trajectory of Vietnamese AI, from current accuracy benchmarks to the multimodal ecosystems of 2030, offering a strategic roadmap for businesses ready to lead the next wave of technological innovation
s2speech.com: One Account for Speech-to-Text, Text-to-Speech and LLM
s2speech.com unifies Speech-to-Text, Text-to-Speech, and LLM capabilities into a single platform, eliminating the complexity of managing multiple API providers for enterprise AI solutions.
AIVISION: Building a Vietnamese Speech AI Platform
AIVISION develops specialized Vietnamese speech AI, achieving 11.84% WER through curated data. Learn how their STT, TTS, and LLM ecosystem supports enterprise automation.
Keeping Speech-to-Text Costs Down at Thousands of Hours
Xử lý hàng nghìn giờ audio có thể gây áp lực lên ngân sách. Khám phá cách tối ưu hóa chi phí chuyển đổi giọng nói thành văn bản thông qua tiền xử lý, các mô hình ưu tiên tiếng Việt chính xác và các chiến lược giá linh hoạt.