Cover Image

An overview of neural architectures for self-supervised audio representation learning from masked spectrograms

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yadav, Sarthak, Theodoridis, Sergios, Tan, Zheng-Hua
Format:	Preprint
Published:	2025
Subjects:	Sound Artificial Intelligence Audio and Speech Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

AudioMAE++: learning better masked audio representations with SwiGLU FFNs
by: Yadav, Sarthak, et al.
Published: (2025)

AxLSTMs: learning self-supervised audio representations with xLSTMs
by: Yadav, Sarthak, et al.
Published: (2024)

Audio Mamba: Selective State Spaces for Self-Supervised Audio Representations
by: Yadav, Sarthak, et al.
Published: (2024)

Exploring bat song syllable representations in self-supervised audio encoders
by: Kloots, Marianne de Heer, et al.
Published: (2024)

Making deep neural networks work for medical audio: representation, compression and domain adaptation
by: Onu, Charles C
Published: (2025)

learning discriminative features from spectrograms using center loss for speech emotion recognition
by: Dai, Dongyang, et al.
Published: (2025)

Scaling up masked audio encoder learning for general audio classification
by: Dinkel, Heinrich, et al.
Published: (2024)

Automated data curation for self-supervised learning in underwater acoustic analysis
by: Hummel, Hilde I, et al.
Published: (2025)

Temporal Pooling Strategies for Training-Free Anomalous Sound Detection with Self-Supervised Audio Embeddings
by: Wilkinghoff, Kevin, et al.
Published: (2026)

GRAM: Spatial general-purpose audio representation models for real-world applications
by: Yuksel, Goksenin, et al.
Published: (2025)

Self-supervised learning method using multiple sampling strategies for general-purpose audio representation
by: Kuroyanagi, Ibuki, et al.
Published: (2025)

DSpAST: Disentangled Representations for Spatial Audio Reasoning with Large Language Models
by: Wilkinghoff, Kevin, et al.
Published: (2025)

Towards audio language modeling -- an overview
by: Wu, Haibin, et al.
Published: (2024)

ADIFF: Explaining audio difference using natural language
by: Deshmukh, Soham, et al.
Published: (2025)

Mellow: a small audio language model for reasoning
by: Deshmukh, Soham, et al.
Published: (2025)

AISTAT lab system for DCASE2025 Task6: Language-based audio retrieval
by: Kim, Hyun Jun, et al.
Published: (2025)

Enhanced Sound Event Localization and Detection in Real 360-degree audio-visual soundscapes
by: Roman, Adrian S., et al.
Published: (2024)

ESPnet-SPK: full pipeline speaker embedding toolkit with reproducible recipes, self-supervised front-ends, and off-the-shelf models
by: Jung, Jee-weon, et al.
Published: (2024)

Repurposing Image Diffusion Models for Training-Free Music Style Transfer on Mel-spectrograms
by: Wang, Heehwan, et al.
Published: (2024)

DualSpec: Text-to-spatial-audio Generation via Dual-Spectrogram Guided Diffusion Model
by: Zhao, Lei, et al.
Published: (2025)

Where are we in audio deepfake detection? A systematic analysis over generative and detection models
by: Li, Xiang, et al.
Published: (2024)

MambAttention: Mamba with Multi-Head Attention for Generalizable Single-Channel Speech Enhancement
by: Kühne, Nikolai Lund, et al.
Published: (2025)

Exploring Resolution-Wise Shared Attention in Hybrid Mamba-U-Nets for Improved Cross-Corpus Speech Enhancement
by: Kühne, Nikolai Lund, et al.
Published: (2025)

xLSTM-SENet: xLSTM for Single-Channel Speech Enhancement
by: Kühne, Nikolai Lund, et al.
Published: (2025)

Acoustic-to-articulatory inversion for dysarthric speech: Are pre-trained self-supervised representations favorable?
by: Maharana, Sarthak Kumar, et al.
Published: (2023)

Omni-CLST: Error-aware Curriculum Learning with guided Selective chain-of-Thought for audio question answering
by: Zhao, Jinghua, et al.
Published: (2025)

A sound description: Exploring prompt templates and class descriptions to enhance zero-shot audio classification
by: Olvera, Michel, et al.
Published: (2024)

EnCodecMAE: Leveraging neural codecs for universal audio representation learning
by: Pepino, Leonardo, et al.
Published: (2023)

Sustaining model performance for covid-19 detection from dynamic audio data: Development and evaluation of a comprehensive drift-adaptive framework
by: Ganitidis, Theofanis, et al.
Published: (2024)

Supervised contrastive learning from weakly-labeled audio segments for musical version matching
by: Serrà, Joan, et al.
Published: (2025)

Discriminant audio properties in deep learning based respiratory insufficiency detection in Brazilian Portuguese
by: Gauy, Marcelo Matheus, et al.
Published: (2024)

Towards generalisable and calibrated synthetic speech detection with self-supervised representations
by: Pascu, Octavian, et al.
Published: (2023)

animal2vec and MeerKAT: A self-supervised transformer for rare-event raw audio input and a large-scale reference dataset for bioacoustics
by: Schäfer-Zimmermann, Julian C., et al.
Published: (2024)

Self-supervised Learning for Acoustic Few-Shot Classification
by: Liang, Jingyong, et al.
Published: (2024)

End-to-end audio-visual learning for cochlear implant sound coding simulations in noisy environments
by: Lin, Meng-Ping, et al.
Published: (2025)

Evaluating Speaker Identity Coding in Self-supervised Models and Humans
by: Elbanna, Gasser
Published: (2024)

EZhouNet:A framework based on graph neural network and anchor interval for the respiratory sound event detection
by: Chu, Yun, et al.
Published: (2025)

SPA-SVC: Self-supervised Pitch Augmentation for Singing Voice Conversion
by: Bai, Bingsong, et al.
Published: (2024)

Weakly-supervised Audio Separation via Bi-modal Semantic Similarity
by: Mahmud, Tanvir, et al.
Published: (2024)

Self-supervised ASR Models and Features For Dysarthric and Elderly Speech Recognition
by: Hu, Shujie, et al.
Published: (2024)