๐ VoiceAIEngineer: Practical Guides to Voice AI, LLMs, ASR, TTS, NLU & Audio Processing
Great technical content deserves a wider audience. ๐
๐ VoiceAIEngineer: Practical Guides to Voice AI, LLMs, ASR, TTS, NLU & Audio Processing
Great technical content deserves a wider audience. ๐
โถ๏ธ **YouTube , [๐ธ Instagram](https://www.instagram.com/devops_voice) , [๐ผ LinkedIn](https://www.linkedin.com/in/tushar-jadhav29/) , [โ๏ธ Medium](https://medium.com/@tushar.jadhav29)**
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๐ Expanding Beyond DevOps & SRE : Introducing VoiceAIEngineer (Vivek) โ Voice AI & LLM Expert
Most of you follow my blog for content related to DevOps, SRE, Cloud, Kubernetes, Automation, Infrastructure, Monitoring, and Platform Engineering.
As technology continues to evolve, modern platforms are increasingly integrating AI, Large Language Models (LLMs), Voice AI, and intelligent automation. To help our community stay ahead of these trends, I will occasionally share content from experts in domains that complement DevOps and modern engineering.
One such expert is Vivek ( VoiceAIEngineer)
Vivek has over 10 years of experience in building Voice AI and Automotive Infotainment products, with expertise in:
๐ค Automatic Speech Recognition (ASR) ๐ Text-to-Speech (TTS) ๐ฏ Wake Word Detection (WWD) ๐ฌ Natural Language Understanding (NLU) ๐ง Large Language Models (LLMs) ๐ง Audio Processing & DSP ๐ฑ Android Development ๐ Automotive Voice Assistants โ๏ธ Embedded Systems
Why am I sharing his content?
As a DevOps and SRE engineer, I believe understanding AI infrastructure, LLM-powered applications, voice systems, and edge AI deployments is becoming increasingly important. While my focus remains on DevOps, SRE, Cloud, Kubernetes, Platform Engineering, and Automation, Vivekโs work provides valuable insights into the AI and Voice Technology side of modern systems.
His articles are practical, engineering-focused, and based on real-world product development experience rather than just theory.
I will be sharing selected articles from VoiceAIEngineer, giving full credit to the original author while helping my audience discover high-quality technical content outside the traditional DevOps space.
๐ Original Author: VoiceAIEngineer (Vivek) ๐ Medium Publication: VoiceAIEngineer
Here are some of his articles worth reading:
๐ค Building Offline Speech Recognition for Android with Whisper
Learn how I built a fully offline Speech-to-Text solution for Android, the challenges I faced, and why Whisper changed my approach to on-device ASR.
๐ Read: **[Click Here]**
๐ Building Offline Neural Text-to-Speech on Android with Piper and sherpa-onnx
Explore how to run neural-quality TTS entirely on-device without cloud APIs, subscriptions, or internet connectivity.
๐ Read: [Click Here]
๐ฏ Building an Offline Wake Word Detector for Android โ No Cloud, No API Keys
From model training to Android deployment, discover how I built a custom wake word engine that runs completely offline.
๐ Read: [Click Here]
๐ฌ How Voice Assistants Understand You: A Deep Dive into Natural Language Understanding (NLU).
A practical introduction to Natural Language Understanding (NLU), the technology that transforms user words into actionable intents and powers modern voice assistants.
๐ Read: [Click Here]
๐๏ธ Audio Intelligence: Echo Cancellation, Noise Suppression, ESNR & VAD Explained
Discover how modern voice systems remove echo, suppress background noise, estimate audio quality, and detect speech in real time to deliver clear voice experiences.
๐ Read: [Click Here]
๐ง Large Language Models (LLMs): How They Work, Learn, and Power Modern AI
A simple explanation of how LLMs like ChatGPT and Gemini generate responses, learn from massive datasets, and power todayโs AI revolution.
๐ Read: [Click Here]
If youโre interested in the intersection of AI, Voice Technologies, LLMs, Cloud, DevOps, and modern software engineering, I highly recommend following his (VoiceAIEngineer) work.
Together, letโs learn beyond our primary domains and grow as engineers. ๐
***๐ Ultimate DevOps & SRE Learning Hub (2026 Edition) โ 100% Free, Real-World Knowledge***
***โธ๏ธ Kubernetes & ๐ณ Docker Mastery Hub (2026 Edition)***
๐ Final Note
This single page is designed to be:
- ๐ Bookmarked
- ๐ Shared
- ๐ Used daily
Thank you for reading! ๐๐
If youโre a Linux admin, DevOps engineer, cloud engineer, or SRE โ this page is your personal technical library.
๐ If it helped you, clap & share ๐ฌ Drop a comment if you want a topic-wise PDF or roadmap next
๐ณHappy Learning & Troubleshooting!
DevOps #SRE #PlatformEngineering #CloudComputing #Kubernetes #LLM #GenerativeAI #VoiceAI #ArtificialIntelligence #MLOps #Automation #SoftwareEngineering
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