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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Dysarthric speaker identification with different degrees of dysarthria severity using deep belief networks
Aref Farhadipour, Hadi Veisi, Mohammad Asgari, et al.
ETRI Journal (2018) Vol. 40, Iss. 5, pp. 643-652
Open Access | Times Cited: 22

Showing 22 citing articles:

Automated Dysarthria Severity Classification: A Study on Acoustic Features and Deep Learning Techniques
Amlu Anna Joshy, Rajeev Rajan
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 30, pp. 1147-1157
Open Access | Times Cited: 53
Residual Neural Network precisely quantifies dysarthria severity-level based on short-duration speech segments
Siddhant Gupta, Ankur T. Patil, Mirali Purohit, et al.
Neural Networks (2021) Vol. 139, pp. 105-117
Closed Access | Times Cited: 51
Automated Dysarthria Severity Classification Using Deep Learning Frameworks
Amlu Anna Joshy, Rajeev Rajan
2021 29th European Signal Processing Conference (EUSIPCO) (2020)
Closed Access | Times Cited: 42
An attention Long Short-Term Memory based system for automatic classification of speech intelligibility
Miguel Fernández-Díaz, Ascensión Gallardo-Antolín
Engineering Applications of Artificial Intelligence (2020) Vol. 96, pp. 103976-103976
Open Access | Times Cited: 39
Deep neural network architectures for dysarthric speech analysis and recognition
Brahim-Fares Zaidi, Sid‐Ahmed Selouani, Malika Boudraa, et al.
Neural Computing and Applications (2021) Vol. 33, Iss. 15, pp. 9089-9108
Closed Access | Times Cited: 29
Comparative analysis of different time-frequency image representations for the detection and severity classification of dysarthric speech using deep learning
S Aurobindo, Prakash Ramachandran, M. Rajeshkumar
Results in Engineering (2025), pp. 104561-104561
Open Access
Deep Learning-Based Acoustic Feature Representations for Dysarthric Speech Recognition
M Latha, M. Shivakumar, G. Manjula, et al.
SN Computer Science (2023) Vol. 4, Iss. 3
Closed Access | Times Cited: 8
Pathological voice classification system based on CNN-BiLSTM network using speech enhancement and multi-stream approach
Soumeya Belabbas, Djamel Addou, Sid‐Ahmed Selouani
International Journal of Speech Technology (2024) Vol. 27, Iss. 2, pp. 483-502
Closed Access | Times Cited: 2
Constant Q Cepstral Coefficients for Automatic Speaker Verification System for Dysarthria Patients
Shinimol Salim, Waquar Ahmad
Circuits Systems and Signal Processing (2023) Vol. 43, Iss. 2, pp. 1101-1118
Closed Access | Times Cited: 4
Gammatonegram representation for end-to-end dysarthric speech processing tasks: speech recognition, speaker identification, and intelligibility assessment
Aref Farhadipour, Hadi Veisi
Iran Journal of Computer Science (2024) Vol. 7, Iss. 2, pp. 311-324
Closed Access | Times Cited: 1
Analysis of Deep Generative Model Impact on Feature Extraction and Dimension Reduction for Short Utterance Text-Independent Speaker Verification
Aref Farhadipour, Hadi Veisi
Circuits Systems and Signal Processing (2024) Vol. 43, Iss. 7, pp. 4547-4564
Open Access | Times Cited: 1
Feature Recognition of English Based on Deep Belief Neural Network and Big Data Analysis
Xiaoling Liu
Computational Intelligence and Neuroscience (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 9
Automatic speaker verification system for dysarthric speakers using prosodic features and out-of-domain data augmentation
Shinimol Salim, S. Shahnawazuddin, Waquar Ahmad
Applied Acoustics (2023) Vol. 210, pp. 109412-109412
Closed Access | Times Cited: 3
Linear Frequency Residual Cepstral Features for Dysarthria Severity Classification
Aditya Pusuluri, Hemant A. Patil
Lecture notes in computer science (2024), pp. 316-331
Closed Access
Combined approach to dysarthric speaker verification using data augmentation and feature fusion
Shinimol Salim, S. Shahnawazuddin, Waquar Ahmad
Speech Communication (2024) Vol. 160, pp. 103070-103070
Closed Access
Dysarthric speaker identification with constrained training durations
Mounira Chaiani, Messaoud Bengherabi, Sid‐Ahmed Selouani, et al.
(2018), pp. 1-6
Closed Access | Times Cited: 2
Ensemble Gaussian mixture model-based special voice command cognitive computing intelligent system
P. Saravanan, E. Sri Ram, Saikishor Jangiti, et al.
Journal of Intelligent & Fuzzy Systems (2020) Vol. 39, Iss. 6, pp. 8181-8189
Closed Access | Times Cited: 2
Enhancement of Alaryngeal Speech using Generative Adversarial Network (GAN)
Mahmudul Huq
(2021)
Closed Access | Times Cited: 2
Comparative Analysis of Feature Extraction methods for Kannada Bi-Syllable Words of Dysarthric Speech
M. Madhavi Latha
Bioscience Biotechnology Research Communications (2020) Vol. 13, Iss. 13, pp. 332-337
Open Access | Times Cited: 1
Robust HI and dysarthric speaker recognition – perceptual features and models
A. Revathi, R. Nagakrishnan, N. Sasikaladevi
Multimedia Tools and Applications (2022) Vol. 81, Iss. 6, pp. 8215-8233
Closed Access | Times Cited: 1
Gammatonegram Representation for End-to-End Dysarthric Speech Processing Tasks: Speech Recognition, Speaker Identification, and Intelligibility Assessment
Aref Farhadipour, Hadi Veisi
arXiv (Cornell University) (2023)
Open Access
Gammatonegram Representation for End-to-End Dysarthric Speech Processing Tasks: Speech Recognition, Speaker Identification, and Intelligibility Assessment
Aref Farhadipour, Hadi Veisi
SSRN Electronic Journal (2023)
Open Access
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