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researcher

Muhammad Diyan

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CR1
  • cs.SD1
  • eess.AS1

identity via Semantic Scholar / OpenAlex

most citedA Speech Intelligibility Enhancement Model based on Canonical Correlation and Deep Learning for Hearing-Assistive Technologies

1 citations · 3 across the 3 of their papers we have counts for

collaborators

3 papers

eess.AS2022★ 1 cited

A Speech Intelligibility Enhancement Model based on Canonical Correlation and Deep Learning for Hearing-Assistive Technologies

Tassadaq Hussain, Muhammad Diyan, Mandar Gogate +4

Current deep learning (DL) based approaches to speech intelligibility enhancement in noisy environments are generally trained to minimise the distance between clean and enhanced sp…

cs.SD2022★ 1 cited

A Novel Speech Intelligibility Enhancement Model based on CanonicalCorrelation and Deep Learning

Tassadaq Hussain, Muhammad Diyan, Mandar Gogate +4

Current deep learning (DL) based approaches to speech intelligibility enhancement in noisy environments are often trained to minimise the feature distance between noise-free speech…

cs.CR2022★ 1 cited

A Novel Chaos-based Light-weight Image Encryption Scheme for Multi-modal Hearing Aids

Awais Aziz Shah, Ahsan Adeel, Jawad Ahmad +8

Multimodal hearing aids (HAs) aim to deliver more intelligible audio in noisy environments by contextually sensing and processing data in the form of not only audio but also visual…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.