How to learn Speech Recognition after 12th in Delhi

The degree route

The degree route is a B.Tech with genuine Speech Recognition depth. At Vivekananda School of Engineering & Technology (VSET) at VIPS-TC Pitampura, that means documented coursework depth 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 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.

Where Speech Recognition skills lead

Graduates applying Speech Recognition skills typically target roles such as Speech / Audio ML Engineer, NLP Engineer, Machine Learning Engineer, AI Engineer, Applied AI Developer. 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.