How to learn Speech and Voice AI after 12th in Delhi

The degree route

The degree route is a B.Tech with genuine Speech and Voice AI depth. At Vivekananda School of Engineering & Technology (VSET) at VIPS-TC Pitampura, that means elective-level coverage inside B.Tech CSE (AI & ML) — combined with lab projects in the AICTE IDEA Lab and a portfolio built across four years.

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.

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.

How admission works

Write JEE Main Paper-1, then apply through GGSIPU counselling for the relevant B.Tech programme at VSET. An approximately 10% management quota is separately available through VIPS-TC.