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Alireza Morsali

4 papers hereh-index 8255 citations28 works total

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

author position
  • first author1
  • middle author2

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • eess.AS1
  • eess.SP1
same name
  • Alireza Morsali — 1 paper, h 0
  • Alireza Morsali — 1 paper, h 2
  • Alireza Morsali — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedLight-SERNet: A lightweight fully convolutional neural network for speech emotion recognition

2 citations · 3 across the 4 of their papers we have counts for

collaborators

4 papers

eess.AS2021★ 2 cited

Light-SERNet: A lightweight fully convolutional neural network for speech emotion recognition

Arya Aftab, Alireza Morsali, Shahrokh Ghaemmaghami +1

Detecting emotions directly from a speech signal plays an important role in effective human-computer interactions. Existing speech emotion recognition models require massive comput…

cs.LG2021

Ensemble Neural Representation Networks

Milad Soltany Kadarvish, Hesam Mojtahedi, Hossein Entezari Zarch +4

Implicit Neural Representation (INR) has recently attracted considerable attention for storing various types of signals in continuous forms. The existing INR networks require lengt…

cs.LG2021

Multi-Head ReLU Implicit Neural Representation Networks

Arya Aftab, Alireza Morsali

In this paper, a novel multi-head multi-layer perceptron (MLP) structure is presented for implicit neural representation (INR). Since conventional rectified linear unit (ReLU) netw…

eess.SP2021★ 1 cited

Deep Learning Framework for Hybrid Analog-Digital Signal Processing in mmWave Massive-MIMO Systems

Alireza Morsali, Afshin Haghighat, Benoit Champagne

Hybrid analog-digital signal processing (HSP) is an enabling technology to harvest the potential of millimeter-wave (mmWave) massive-MIMO communications. In this paper, we present…

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