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Audio AI Researcher & Developer
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Module 12
Building and Deploying Speech Services
1
Designing REST APIs for Speech Services with FastAPI
Design a REST API for a speech service (e.g., ASR or TTS) using FastAPI, defining request/response models.
2
Deploying a Speech Model as an API Endpoint
Build a functional API endpoint that encapsulates a trained speech model for inference.
3
Dockerizing Your Speech Application
Containerize the speech application and its dependencies using Docker.
4
Reproducible Models with DVC
Manage model artifacts and data versions for reproducibility using a tool like DVC.
5
Conversational AI Architecture: STT & TTS Pipeline Design
Design the system architecture for a conversational AI agent combining STT and TTS components in a pipeline.
6
Deploying Your Conversational AI: Scaling, Orchestration, and Cloud
Propose a deployment strategy for the conversational agent, considering scaling, container orchestration, and cloud services.
7
Exploring Frontiers in Audio AI Research
Identify and discuss current research frontiers in audio AI, such as low-resource languages, expressive synthesis, and robust recognition.
8
Crafting an Audio AI Research Proposal
Formulate a research proposal for a novel problem in audio AI, outlining the methodology and evaluation plan.
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