Careers after B.Tech with Speech and Voice AI skills

Where Speech and Voice AI skills lead

Graduates applying Speech and Voice AI skills typically target roles such as Speech AI Engineer, NLP Engineer, Machine Learning Engineer, Conversational AI Developer, AI Engineer. Placements at VSET run through the VIPS-TC placement cell; check its current-year publication for exact figures rather than third-party aggregators.

What students actually build

• Applied NLP capstones can extend into spoken interfaces on top of the documented project patterns.
• Voice-driven builds are a natural hackathon category, including at the Smart India Hackathon.

How VSET teaches Speech and Voice AI

Speech and voice AI covers automatic speech recognition, text-to-speech synthesis and spoken dialogue systems. Modern approaches use the same transformer and deep learning foundations as text models. At VSET this maps to elective-level coverage inside B.Tech CSE (AI & ML).

• VSET's curriculum covers the foundations speech systems are built on — deep learning, transformers, NLP and multimodal-capable architectures — published at learn.engineering.vips.edu.
• Speech is not listed as a separate documented library, so coverage is best described as an applied extension of the NLP and deep learning material.
• Agent and MCP material supports wiring a speech front-end into a tool-using system.
• Sits within the GGSIPU-affiliated B.Tech CSE (AI & ML) track at VSET.