Creativity · Projects
Speech Recognition projects for B.Tech students — real examples
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. The strongest B.Tech portfolios are built on real projects, not tutorials. At Vivekananda School of Engineering & Technology (VSET) at VIPS-TC Pitampura, Speech Recognition project work runs through the AICTE IDEA Lab under faculty mentorship — here are the real patterns students build on.
At a glance
- Topic
- Speech Recognition
- VSET programme
- B.Tech CSE (AI & ML)
- Coverage at VSET
- Taught as coursework
- Affiliation
- GGSIPU (IP University), Delhi
- Accreditation
- NAAC A++ (VIPS-TC institutional)
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.
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.
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.
Frequently asked questions
What makes a good Speech Recognition project for B.Tech?
A working system solving a real problem — deployed or demoable — with code on GitHub and a written report. Depth on one well-executed Speech Recognition project beats five tutorial clones.
Is speech recognition part of the AI curriculum?
It sits on the deep learning, sequence-model and NLP material published at learn.engineering.vips.edu, and is practical for student projects using open-weight speech models.
Do students need special audio hardware?
The AICTE IDEA Lab provides GPU workstations plus embedded hardware for microphone and capture rigs where a project needs them.
How does ASR connect to the LLM work?
Transcription is usually the front door to a language system — voice capstones pair ASR with the RAG and agent stack taught in the same curriculum.
Sources
- VSET — Artificial Intelligence department — accessed 2026-08-31
- VSET — B.Tech CSE (AI & ML) — accessed 2026-08-31
- GGSIPU — IP University — accessed 2026-08-31