Cover Image

Enhancing Speech Emotion Recognition via Fine-Tuning Pre-Trained Models and Hyper-Parameter Optimisation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Golbaghi, Aryan, Zhou, Shuo
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Task-Aware Parameter-Efficient Fine-Tuning of Large Pre-Trained Models at the Edge
by: Hu, Senkang, et al.
Published: (2025)

Pre-Finetuning for Few-Shot Emotional Speech Recognition
by: Chen, Maximillian, et al.
Published: (2023)

SVFit: Parameter-Efficient Fine-Tuning of Large Pre-Trained Models Using Singular Values
by: Sun, Chengwei, et al.
Published: (2024)

Parameter-Efficient Fine-Tuning for Pre-Trained Vision Models: A Survey and Benchmark
by: Xin, Yi, et al.
Published: (2024)

SSVD-O: Parameter-Efficient Fine-Tuning with Structured SVD for Speech Recognition
by: Wang, Pu, et al.
Published: (2026)

Graph-Based Spectral Decomposition for Parameter Coordination in Language Model Fine-Tuning
by: Zhang, Hanlu, et al.
Published: (2025)

PERFT: Parameter-Efficient Routed Fine-Tuning for Mixture-of-Expert Model
by: Liu, Yilun, et al.
Published: (2024)

Gradient Norm-based Fine-Tuning for Backdoor Defense in Automatic Speech Recognition
by: Zhou, Nanjun, et al.
Published: (2025)

Parameter Efficient Finetuning for Speech Emotion Recognition and Domain Adaptation
by: Lashkarashvili, Nineli, et al.
Published: (2024)

EmoSLLM: Parameter-Efficient Adaptation of LLMs for Speech Emotion Recognition
by: Thimonier, Hugo, et al.
Published: (2025)

Towards Anomaly-Aware Pre-Training and Fine-Tuning for Graph Anomaly Detection
by: Liu, Yunhui, et al.
Published: (2025)

Integrating Pre-Trained Speech and Language Models for End-to-End Speech Recognition
by: Hono, Yukiya, et al.
Published: (2023)

Mitigating Training Imbalance in LLM Fine-Tuning via Selective Parameter Merging
by: Ju, Yiming, et al.
Published: (2024)

Empirical Analysis of Efficient Fine-Tuning Methods for Large Pre-Trained Language Models
by: Doering, Nigel, et al.
Published: (2024)

emoDARTS: Joint Optimisation of CNN & Sequential Neural Network Architectures for Superior Speech Emotion Recognition
by: Rajapakshe, Thejan, et al.
Published: (2024)

Transcription-Free Fine-Tuning of Speech Separation Models for Noisy and Reverberant Multi-Speaker Automatic Speech Recognition
by: Ravenscroft, William, et al.
Published: (2024)

Parameter-Efficient Fine-Tuning via Circular Convolution
by: Chen, Aochuan, et al.
Published: (2024)

Enhancing Speech Emotion Recognition with Graph-Based Multimodal Fusion and Prosodic Features for the Speech Emotion Recognition in Naturalistic Conditions Challenge at Interspeech 2025
by: Ferreira, Alef Iury Siqueira, et al.
Published: (2025)

SAFE: Slow and Fast Parameter-Efficient Tuning for Continual Learning with Pre-Trained Models
by: Zhao, Linglan, et al.
Published: (2024)

E-ICL: Enhancing Fine-Grained Emotion Recognition through the Lens of Prototype Theory
by: Ren, Zhaochun, et al.
Published: (2024)

Point-PEFT: Parameter-Efficient Fine-Tuning for 3D Pre-trained Models
by: Tang, Yiwen, et al.
Published: (2023)

Enhancing Speech Emotion Recognition Through Differentiable Architecture Search
by: Rajapakshe, Thejan, et al.
Published: (2023)

Hyper-parameter Tuning for Adversarially Robust Models
by: Mendes, Pedro, et al.
Published: (2023)

APAR: Modeling Irregular Target Functions in Tabular Regression via Arithmetic-Aware Pre-Training and Adaptive-Regularized Fine-Tuning
by: Wu, Hong-Wei, et al.
Published: (2024)

Parameter-Efficient Fine-Tuning of State Space Models
by: Galim, Kevin, et al.
Published: (2024)

Task-Adaptive Parameter-Efficient Fine-Tuning for Weather Foundation Models
by: Cao, Shilei, et al.
Published: (2025)

Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey
by: Han, Zeyu, et al.
Published: (2024)

Parameter-Efficient Fine-Tuning for Foundation Models
by: Zhang, Dan, et al.
Published: (2025)

TrainDeeploy: Hardware-Accelerated Parameter-Efficient Fine-Tuning of Small Transformer Models at the Extreme Edge
by: Wang, Run, et al.
Published: (2026)

State-offset Tuning: State-based Parameter-Efficient Fine-Tuning for State Space Models
by: Kang, Wonjun, et al.
Published: (2025)

Improving Speech Emotion Recognition with Mutual Information Regularized Generative Model
by: Ahn, Chung-Soo, et al.
Published: (2025)

SPP: Sparsity-Preserved Parameter-Efficient Fine-Tuning for Large Language Models
by: Lu, Xudong, et al.
Published: (2024)

Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning
by: Nakamoto, Mitsuhiko, et al.
Published: (2023)

Focused Discriminative Training For Streaming CTC-Trained Automatic Speech Recognition Models
by: Haider, Adnan, et al.
Published: (2024)

Parameter-Efficient Fine-Tuning with Circulant and Diagonal Vectors
by: Ding, Xinyu, et al.
Published: (2025)

Meta-Learning Hyperparameters for Parameter Efficient Fine-Tuning
by: Tian, Zichen, et al.
Published: (2026)

LLMem: Estimating GPU Memory Usage for Fine-Tuning Pre-Trained LLMs
by: Kim, Taeho, et al.
Published: (2024)

A Bayesian Hybrid Parameter-Efficient Fine-Tuning Method for Large Language Models
by: Chai, Yidong, et al.
Published: (2025)

Embedding Enhancement via Fine-Tuned Language Models for Learner-Item Cognitive Modeling
by: Liu, Yuanhao, et al.
Published: (2026)

LoRETTA: Low-Rank Economic Tensor-Train Adaptation for Ultra-Low-Parameter Fine-Tuning of Large Language Models
by: Yang, Yifan, et al.
Published: (2024)