Curiosity · Course availability

Does GGSIPU have a course in Speech and Voice AI?

Not as a standalone degree title, but yes as real coursework: VSET (VIPS-TC) covers Speech and Voice AI inside B.Tech CSE (AI & ML). 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. Below is what that coverage actually includes and what to verify before counting on it.

At a glance

Topic
Speech and Voice AI
VSET programme
B.Tech CSE (AI & ML)
Coverage at VSET
Elective-level coverage
Affiliation
GGSIPU (IP University), Delhi
Accreditation
NAAC A++ (VIPS-TC institutional)

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.

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.

Frequently asked questions

Does GGSIPU have a course in Speech and Voice AI?

Not as a standalone degree title, but yes as real coursework: VSET (VIPS-TC) covers Speech and Voice AI inside B.Tech CSE (AI & ML).

Is speech recognition a dedicated subject at VSET?

Not as a separately published library. Students get the underlying deep learning, transformer and NLP foundations, and apply them to speech through project work.

What hardware supports voice projects?

GPU workstations in the AICTE IDEA Lab for model work, plus the lab's embedded hardware and 3D printing for capture devices and enclosures.

Can a voice project become a capstone?

The documented capstone categories include applied NLP tools and agent systems, both of which can be extended with a speech interface.

Sources

  1. VSET — Artificial Intelligence department — accessed 2026-08-31
  2. VSET — B.Tech CSE (AI & ML) — accessed 2026-08-31
  3. GGSIPU — IP University — accessed 2026-08-31

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