Speech Language Models Architecture, Training, and Applications for Modern Voice AI
Build advanced voice AI systems using modern speech language models for real-time applications
Created by Vinit Kumar Singh
Explore the world of speech language models and learn how to build advanced voice AI systems for real-time applications. You'll dive into the architecture, training, and deployment of modern SpeechLMs, focusing on practical coding and real-world scenarios. Gain the skills to design, implement, and scale production-ready voice AI solutions.
Packt | Jun 2026 | 1175 min
What You Will Learn
You will progress from foundational speech pipelines to advanced SpeechLM architectures through a mix of theory and hands-on coding. Each section introduces new concepts with practical exercises, simulations, and real-world examples. By working through tokenization, vocoders, training, and deployment, you'll develop end-to-end expertise in voice AI systems.
Key Features
- Build and deploy SpeechLM architectures for ASR, TTS, and emotion-aware voice AI
- Develop practical skills in audio tokenization, vocoders, and real-time speech pipelines
- Master multi-agent orchestration, safety evaluation, and production deployment strategies
Target Audience
Designed for AI engineers, software developers, and data scientists with Python and LLM experience, this course helps you advance your skills in modern voice AI. If you want to design, deploy, and monitor production-ready speech systems, or are a researcher or product manager aiming to integrate voice AI into real workflows, you'll find practical, actionable guidance throughout.
