MAY 2026 — PRESENT
M.Tech thesis
M3RG, IIT Delhi
Supervised by
Rahul Garg,
N M Anoop Krishnan
Python · PyTorch
Whisper · Deepgram
scikit-learn · SHAP
Aphasia‑LLM
Benchmarking audio language models against clinical aphasia assessment
Aphasia is an acquired language disorder, most often following stroke, and its severity is graded by clinicians administering standardised assessments. This work measures how closely current audio and text language models reproduce those scores from the same recordings.
The benchmark spans four AphasiaBank instruments over cohorts of 110 to 130 participants, crossing seven scoring models with two ASR systems and five input conditions. Transcripts are frozen once per participant and reused unchanged across every condition, so ASR effects and scorer effects can be separated rather than confounded. Reference scores are read at evaluation only.
4
AphasiaBank
instruments
7
scoring
models
2
ASR
systems
5
input
conditions