Best college for Speech Recognition in Delhi

How VSET teaches Speech Recognition

Automatic speech recognition converts spoken audio into text, handling accents, noise and overlapping speech. Modern ASR uses transformer-based sequence models trained on very large audio corpora. At VSET this maps to documented coursework depth inside B.Tech CSE (AI & ML).

• ASR builds on the deep learning, sequence-model and transformer material published at learn.engineering.vips.edu.
• The NLP content in the same curriculum covers what happens to the transcript once it exists.
• Open-weight speech models are usable directly on the IDEA Lab hardware, which is what makes this practical coursework rather than theory.
• Delivered inside the B.Tech CSE (AI & ML) track, one of VSET's seven GGSIPU-affiliated B.Tech programmes.

Labs and infrastructure

• Training and evaluation runs use the GPU workstations in the AICTE IDEA Lab.
• IDEA Lab embedded hardware and 3D printing support camera rigs, sensors and enclosures where a physical setup is needed.

What students actually build

• Voice-driven applications are a recurring applied capstone theme, combining ASR with the RAG and agent stack.
• Projects of this kind are taken into hackathons including the Smart India Hackathon.

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.