mlsanityData to 7 Oct 2026

CNN+LSTM Architecture for Speech Emotion Recognition with Data Augmentation

arXiv 1802.05630 ↗First posted 15 Feb 2018cs.SD cs.CL cs.LGcited by 17

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Abstract (arXiv)

In this work we design a neural network for recognizing emotions in speech, using the IEMOCAP dataset. Following the latest advances in audio analysis, we use an architecture involving both convolutional layers, for extracting high-level features from raw spectrograms, and recurrent ones for aggregating long-term dependencies. We examine the techniques of data augmentation with vocal track length perturbation, layer-wise optimizer adjustment, batch normalization of recurrent layers and obtain highly competitive results of 64.5% for weighted accuracy and 61.7% for unweighted accuracy on four emotions.

Key facts. Cited by 17 papers in the map (data through 7 Oct 2026). First posted on arXiv 15 Feb 2018.

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Citing papers per year: 2021: 4; 2022: 4; 2023: 2; 2024: 1; 2025: 3; 2026: 3.

17 papers.

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  1. 2021Exploring Wav2vec 2.0 fine-tuning for improved speech emotion recognitioncited by 47
  2. 2021Improved Speech Emotion Recognition using Transfer Learning and Spectrogram Augmentationcited by 12
  3. 2022Multimodal Emotion Recognition using Transfer Learning from Speaker Recognition and BERT-based modelscited by 7
  4. 2022Emotion Recognition In Persian Speech Using Deep Neural Networkscited by 7
  5. 2022Improving Speech Emotion Recognition with Unsupervised Speaking Style Transfercited by 3
  6. 2023Learning Multilingual Expressive Speech Representation for Prosody Prediction without Parallel Datacited by 3
  7. 2024MSP-Podcast SER Challenge 2024: L'antenne du Ventoux Multimodal Self-Supervised Learning for Speech Emotion Recognitioncited by 3
  8. 2025Enhancing Generalization in PPG-Based Emotion Measurement with a CNN-TCN-LSTM Modelcited by 3
  9. 2021A novel policy for pre-trained Deep Reinforcement Learning for Speech Emotion Recognitioncited by 2
  10. 2022Multilingual Speech Emotion Recognition With Multi-Gating Mechanism and Neural Architecture Searchcited by 1
  11. 2023Enhancing Speech Emotion Recognition Through Differentiable Architecture Searchcited by 1
  12. 2021Speech Emotion Recognition Using Deep Sparse Auto-Encoder Extreme Learning Machine with a New Weighting Scheme and Spectro-Temporal Features Along with Classical Feature Selection and A New Quantum-Inspired Dimension Reduction Methodcited by 0
5 more
  1. 2025Representation Learning with Parameterised Quantum Circuits for Advancing Speech Emotion Recognitioncited by 0
  2. 2025EmoAugNet: A Signal-Augmented Hybrid CNN-LSTM Framework for Speech Emotion Recognitioncited by 0
  3. 2026Speech Emotion Recognition Using MFCC Features and LSTM-Based Deep Learning Modelcited by 0
  4. 2026Low-resource Language Discrimination Towards Chinese Dialects with Transfer learning and Data Augmentationcited by 0
  5. 2026Explainable Lightweight Compact Deep Models for Speech Emotion Recognitioncited by 0