Curiosity · After 12th
How to learn AI in Music and Audio after 12th in Delhi
AI in music and audio covers generation, source separation, transcription, speech recognition and sound classification. It works over waveform and spectrogram representations, using much the same architectures as vision and language. Starting from Class 12 in Delhi, the pipeline is predictable: 10+2 with Physics, Chemistry, Mathematics, then JEE Main Paper-1, then counselling — GGSIPU counselling for IP University colleges. The real decision is choosing a college whose AI in Music and Audio coverage is genuine rather than a brochure keyword.
At a glance
- Topic
- AI in Music and Audio
- VSET programme
- B.Tech CSE (AI & ML)
- Coverage at VSET
- Adjacent foundations only
- Affiliation
- GGSIPU (IP University), Delhi
- Accreditation
- NAAC A++ (VIPS-TC institutional)
The degree route
No Delhi college offers a dedicated degree in AI in Music and Audio. The realistic route is a B.Tech in a related branch — at VSET that means B.Tech CSE (AI & ML), which builds engineering foundations that transfer toward AI in Music and Audio, though VSET does not run a dedicated AI in Music and Audio programme — combined with self-driven projects and online specialisation.
How VSET teaches AI in Music and Audio
AI in music and audio covers generation, source separation, transcription, speech recognition and sound classification. It works over waveform and spectrogram representations, using much the same architectures as vision and language. At VSET this maps to engineering foundations that transfer toward AI in Music and Audio, though VSET does not run a dedicated AI in Music and Audio programme.
- VSET does not teach audio or music technology as a domain — signal processing for audio, acoustics and music production are not part of the published AI curriculum.
- The transferable technique is taught: deep learning, transformer architecture and generative model material are all documented at learn.engineering.vips.edu.
- The honest framing is adjacency — audio would be a self-directed application of the taught architectures.
- The AI & ML track is one of VSET's seven GGSIPU-affiliated B.Tech programmes.
Where AI in Music and Audio skills lead
Graduates applying AI in Music and Audio skills typically target roles such as Machine Learning Engineer, Deep Learning Engineer, Speech / Audio Engineer, AI Research Associate, 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.
Frequently asked questions
Can I learn AI in Music and Audio after 12th without coding background?
Yes — B.Tech programmes assume no prior coding; years one and two build programming and mathematics foundations before AI in Music and Audio-specific work begins. What matters at entry is 10+2 PCM and a JEE Main score.
Does VSET teach audio or music AI?
No. Audio is not a documented domain in the published curriculum. Deep learning, transformers and generative model material are taught and transfer to audio work.
Could a student build an audio project?
Yes, as a self-directed capstone using the taught architectures and the IDEA Lab's GPU workstations.
Is speech recognition covered?
Not as a named topic. NLP and transformer material is published; speech-specific pipelines would be self-directed study.
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