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Fingerprint Dive into the research topics where Visar Berisha is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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Signal processing Engineering & Materials Science
Acoustics Engineering & Materials Science
Wireless sensor networks Engineering & Materials Science
Sensors Engineering & Materials Science
Hardware Engineering & Materials Science
Bandwidth Engineering & Materials Science
Learning systems Engineering & Materials Science
Classifiers Engineering & Materials Science

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Research Output 2005 2019

Open Access
emotions
Speech recognition
learning
Acoustics
Cost functions
1 Citation (Scopus)

Differences in fibertract profiles between patients with migraine and those with persistent post-traumatic headache

Chong, C. D., Peplinski, J., Berisha, V., Ross, K. & Schwedt, T. J., Jan 1 2019, In : Cephalalgia.

Research output: Contribution to journalArticle

Post-Traumatic Headache
Migraine Disorders
Headache
Brain Concussion
Parietal Lobe

Guest Editorial: Algorithms and Architectures for Machine Learning Based Speech Processing

Ogunfunmi, T., Ramachandran, R. P., Togneri, R., Smolenski, B. & Berisha, V., Aug 15 2019, In : Circuits, Systems, and Signal Processing. 38, 8, p. 3399-3405 7 p.

Research output: Contribution to journalEditorial

Open Access
Speech Processing
Speech processing
Learning systems
Machine Learning
Architecture

Investigating the Effects of Word Substitution Errors on Sentence Embeddings

Voleti, R., Liss, J. & Berisha, V., May 1 2019, 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 7315-7319 5 p. 8683367. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2019-May).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Substitution reactions
Simulators
Semantics
Transcription
Speech recognition

Joint Optimization of Quantization and Structured Sparsity for Compressed Deep Neural Networks

Srivastava, G., Kadetotad, D., Yin, S., Berisha, V., Chakrabarti, C. & Seo, J., May 1 2019, 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 1393-1397 5 p. 8682791. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2019-May).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Data storage equipment
Deep neural networks
Degradation

Projects 2014 2022