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A New Amharic Speech Emotion Dataset and Classification Benchmark

https://doi.org/10.1145/3529759
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Analysis of Emotional Speech—A Review
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Excitation Features of Speech for Emotion Recognition Using Neutral Speech as Reference
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IEMOCAP: interactive emotional dyadic motion capture database
inferredcites →https://doi.org/10.1007/s10772-021-09883-3openalex-snapshot
Speech emotion recognition using data augmentation
inferredcites →https://doi.org/10.1007/s12652-016-0406-zopenalex-snapshot
CHEAVD: a Chinese natural emotional audio–visual database
inferredcites →https://doi.org/10.1016/j.bspc.2020.101894openalex-snapshot
Speech emotion recognition with deep convolutional neural networks
inferredcites →https://doi.org/10.1016/j.bspc.2021.102946openalex-snapshot
Sentiment analysis in non-fixed length audios using a Fully Convolutional Neural Network
inferredcites →https://doi.org/10.1016/j.csl.2021.101274openalex-snapshot
A classification benchmark for Arabic alphabet phonemes with diacritics in deep neural networks
inferredcites →https://doi.org/10.1016/j.engappai.2021.104277openalex-snapshot
A novel dual attention-based BLSTM with hybrid features in speech emotion recognition
inferredcites →https://doi.org/10.1016/j.procs.2020.04.148openalex-snapshot
Bengali Spoken Digit Classification: A Deep Learning Approach Using Convolutional Neural Network
inferredcites →https://doi.org/10.1109/access.2019.2936124openalex-snapshot
Speech Emotion Recognition Using Deep Learning Techniques: A Review
inferredcites →https://doi.org/10.1109/access.2020.2990405openalex-snapshot
Clustering-Based Speech Emotion Recognition by Incorporating Learned Features and Deep BiLSTM
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/icassp34228.2018openalex-snapshot
2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
inferredcites →https://doi.org/10.1109/iccubea47591.2019openalex-snapshot
2019 5th International Conference On Computing, Communication, Control And Automation (ICCUBEA)
inferredcites →https://doi.org/10.1109/icdecom17542.2011openalex-snapshot
2011 International Conference on Devices and Communications (ICDeCom)
inferredcites →https://doi.org/10.1109/indicon39780.2016openalex-snapshot
2016 IEEE Annual India Conference (INDICON)
inferredcites →https://doi.org/10.1109/slt48900.2021.9383491openalex-snapshot
An Exploration of Log-Mel Spectrogram and MFCC Features for Alzheimer’s Dementia Recognition from Spontaneous Speech
inferredcites →https://doi.org/10.1109/telfor.2014.7034464openalex-snapshot
On the realization of AnSpeechCollector, system for creating transcribed speech database
inferredcites →https://doi.org/10.1145/3129340openalex-snapshot
Speech emotion recognition
inferredcites →https://doi.org/10.11591/ijece.v10i5.pp4752-4758openalex-snapshot
Creation of speech corpus for emotion analysis in Gujarati language and its evaluation by various speech parameters
inferredcites →https://doi.org/10.13140/2.1.5171.2001openalex-snapshot
Learning Morphological Rules for Amharic Verbs Using Inductive Logic Programming
inferredcites →https://doi.org/10.1371/journal.pone.0196391openalex-snapshot
The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS): A dynamic, multimodal set of facial and vocal expressions in North American English
inferredcites →https://doi.org/10.17743/jaes.2018.0036openalex-snapshot
Speech Emotion Recognition for Performance Interaction
inferredcites →https://doi.org/10.21437/interspeech.2019-1873openalex-snapshot
wav2vec: Unsupervised Pre-Training for Speech Recognition
inferredcites →https://doi.org/10.3390/app10031117openalex-snapshot
Amharic OCR: An End-to-End Learning
inferredcites →https://doi.org/10.3390/math8122133openalex-snapshot
CLSTM: Deep Feature-Based Speech Emotion Recognition Using the Hierarchical ConvLSTM Network
inferredcites →https://doi.org/10.3390/s20010183openalex-snapshot
A CNN-Assisted Enhanced Audio Signal Processing for Speech Emotion Recognition
inferredcites →https://doi.org/10.48550/arxiv.1409.1556openalex-snapshot
Very Deep Convolutional Networks for Large-Scale Image Recognition
inferredcites →https://doi.org/10.48550/arxiv.1611.06440openalex-snapshot
Pruning Convolutional Neural Networks for Resource Efficient Inference
inferredcites →https://doi.org/10.48550/arxiv.1706.07446openalex-snapshot
Deep Transfer Learning: A new deep learning glitch classification method for advanced LIGO
inferredcites →https://doi.org/10.5120/ijca2016910710openalex-snapshot
Emotion Recognition and Classification in Speech using Artificial Neural Networks
inferredcites →https://doi.org/10.5121/csit.2018.80604openalex-snapshot
Social Network Hate Speech Detection for Amharic Language
inferredcites →https://doi.org/10.5683/sp2/e8h2mfopenalex-snapshot
Toronto emotional speech set (TESS)
inferredcites →https://doi.org/10.5772/intechopen.78089openalex-snapshot
Social Media and Machine Learning

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4671144openalex-extracted
Exploring Speech Emotion Recognition in Sindhi Language: Dataset and Cloud-Based Application Proposal
inferred← citeshttps://doi.org/10.1007/978-3-031-20716-7_33openalex-snapshot
A Robust Deep Transfer Learning Model for Accurate Speech Emotion Classification
inferred← citeshttps://doi.org/10.1007/978-3-031-42508-0_2openalex-snapshot
Speech Emotion Recognition: Recent Advances and Current Trends
inferred← citeshttps://doi.org/10.1007/978-3-032-05063-2_8openalex-snapshot
Speaker Identification in Amharic Language Using Spectrogram Images: Exploring Deep Learning Techniques
inferred← citeshttps://doi.org/10.1007/978-981-96-5747-6_3openalex-snapshot
Applications of the Internet of Things on Agriculture: Review and Future Apple Fruit Comprehensive Automation System
inferred← citeshttps://doi.org/10.1007/978-981-96-5747-6_7openalex-snapshot
AI Technologies for Apple Leaf Diseases Identification: Scientometric Analysis
inferred← citeshttps://doi.org/10.1007/s00034-025-03410-4openalex-snapshot
Assessing the Effectiveness of Feature Normalization and Dataset Quality in Speech Emotion Recognition Across Diverse Emotional and Linguistic Contexts
inferred← citeshttps://doi.org/10.1007/s00521-026-12186-wopenalex-snapshot
Speech emotion recognition using deep learning: from basic to complex emotions in unimodal and multimodal frameworks
inferred← citeshttps://doi.org/10.1016/j.dib.2025.112233openalex-snapshot
YSED: Yemeni speech emotion dataset
inferred← citeshttps://doi.org/10.1016/j.eij.2024.100601openalex-snapshot
Benchmark Arabic news posts and analyzes Arabic sentiment through RMuBERT and SSL with AMCFFL technique
inferred← citeshttps://doi.org/10.1016/j.jii.2025.100922openalex-snapshot
Monitoring corn growth with disease identification and yield prediction via advanced intelligent architecture
inferred← citeshttps://doi.org/10.1016/j.procs.2025.04.442openalex-snapshot
Emotion Recognition in Kashmiri Speech: Evaluating Coefficient-Based Acoustic Features Using Bidirectional LSTM Networks
inferred← citeshttps://doi.org/10.1016/j.sciaf.2025.e02657openalex-snapshot
Amharic document clustering using semantic information from neural word embedding and encyclopedic knowledge
inferred← citeshttps://doi.org/10.1016/j.specom.2025.103342openalex-snapshot
A review on speech emotion recognition for low-resource and Indigenous languages
inferred← citeshttps://doi.org/10.1109/access.2025.3565537openalex-snapshot
Dataset Construction and Effectiveness Evaluation of Spoken-Emotion Recognition for Human Machine Interaction
inferred← citeshttps://doi.org/10.1109/access.2026.3652377openalex-snapshot
Development of a Speech Emotion Recognition Dataset for Indonesian
inferred← citeshttps://doi.org/10.1109/ict4da56482.2022.9971434openalex-snapshot
Dialect-Based Noisy Speech Dataset, Pre-Processing Tools, and Recognition Models for Amharic
inferred← citeshttps://doi.org/10.1109/taslpro.2025.3540662openalex-snapshot
Emozionalmente: A Crowdsourced Corpus of Simulated Emotional Speech in Italian
inferred← citeshttps://doi.org/10.21203/rs.3.rs-8392982/v1openalex-snapshot
Explainable Amharic Emotional Text Classification Using Transfer Learning
inferred← citeshttps://doi.org/10.3390/app132312587openalex-snapshot
Cross-Corpus Multilingual Speech Emotion Recognition: Amharic vs. Other Languages
inferred← citeshttps://doi.org/10.3390/data10100164openalex-snapshot
Review and Comparative Analysis of Databases for Speech Emotion Recognition
inferred← citeshttps://doi.org/10.3390/s24216824openalex-snapshot
MPSA-Conformer-CTC/Attention: A High-Accuracy, Low-Complexity End-to-End Approach for Tibetan Speech Recognition
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