Emotion Recognition In Persian Speech Using Deep Neural Networks
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Abstract (arXiv)
Speech Emotion Recognition (SER) is of great importance in Human-Computer Interaction (HCI), as it provides a deeper understanding of the situation and results in better interaction. In recent years, various machine learning and Deep Learning (DL) algorithms have been developed to improve SER techniques. Recognition of the spoken emotions depends on the type of expression that varies between different languages. In this paper, to further study important factors in the Farsi language, we examine various DL techniques on a Farsi/Persian dataset, Sharif Emotional Speech Database (ShEMO), which was released in 2018. Using signal features in low- and high-level descriptions and different deep neural networks and machine learning techniques, Unweighted Accuracy (UA) of 65.20% and Weighted Accuracy (WA) of 78.29% are achieved.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). Builds on 5 of its 23 references that are in the map. First posted on arXiv 28 Apr 2022.
Builds on
5 of 23 references.
References · 5
- 2018Attention Based Fully Convolutional Network for Speech Emotion Recognitioncited by 23
- 2019ShEMO -- A Large-Scale Validated Database for Persian Speech Emotion Detectioncited by 21
- 2018CNN+LSTM Architecture for Speech Emotion Recognition with Data Augmentationcited by 17
- 2020Augmenting Generative Adversarial Networks for Speech Emotion Recognitioncited by 11
- 2020Cross Lingual Cross Corpus Speech Emotion Recognitioncited by 5
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Citing papers per year: 2022: 2; 2023: 4; 2024: 0; 2025: 1.
7 papers.
- 2023Decoding Emotions: A comprehensive Multilingual Study of Speech Models for Speech Emotion Recognitioncited by 4
- 2022Persian Emotion Detection using ParsBERT and Imbalanced Data Handling Approachescited by 2
- 2022A Persian ASR-based SER: Modification of Sharif Emotional Speech Database and Investigation of Persian Text Corporacited by 2
- 2023From Words and Exercises to Wellness: Farsi Chatbot for Self-Attachment Techniquecited by 2
- 2023Utilizing Speech Emotion Recognition and Recommender Systems for Negative Emotion Handling in Therapy Chatbotscited by 1
- 2023Unsupervised Representations Improve Supervised Learning in Speech Emotion Recognitioncited by 0
- 2025Exploring Subjective Tasks in Farsi: A Survey Analysis and Evaluation of Language Modelscited by 0
- 2025Exploring Subjective Tasks in Farsi: A Survey Analysis and Evaluation of Language Models6 Sep 2025
- 2023Utilizing Speech Emotion Recognition and Recommender Systems for Negative Emotion Handling in Therapy Chatbots18 Nov 2023
- 2023From Words and Exercises to Wellness: Farsi Chatbot for Self-Attachment Technique13 Oct 2023
- 2023Unsupervised Representations Improve Supervised Learning in Speech Emotion Recognition22 Sep 2023
- 2023Decoding Emotions: A comprehensive Multilingual Study of Speech Models for Speech Emotion Recognition17 Aug 2023
- 2022A Persian ASR-based SER: Modification of Sharif Emotional Speech Database and Investigation of Persian Text Corpora18 Nov 2022
- 2022Persian Emotion Detection using ParsBERT and Imbalanced Data Handling Approaches15 Nov 2022