Cover Image

Vision Language Models Are Few-Shot Audio Spectrogram Classifiers

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Dixit, Satvik, Heller, Laurie M., Donahue, Chris
Format:	Preprint
Published:	2024
Subjects:	Sound Audio and Speech Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learning Perceptually Relevant Temporal Envelope Morphing
by: Dixit, Satvik, et al.
Published: (2025)

FoleyBench: A Benchmark For Video-to-Audio Models
by: Dixit, Satvik, et al.
Published: (2025)

MACE: Leveraging Audio for Evaluating Audio Captioning Systems
by: Dixit, Satvik, et al.
Published: (2024)

ASM: Audio Spectrogram Mixer
by: Ji, Qingfeng, et al.
Published: (2024)

Detection of Deepfake Environmental Audio
by: Ouajdi, Hafsa, et al.
Published: (2024)

FAST: Fast Audio Spectrogram Transformer
by: Naman, Anugunj, et al.
Published: (2025)

Correlation of Fréchet Audio Distance With Human Perception of Environmental Audio Is Embedding Dependant
by: Tailleur, Modan, et al.
Published: (2024)

Improving Speaker Representations Using Contrastive Losses on Multi-scale Features
by: Dixit, Satvik, et al.
Published: (2024)

SpecMaskGIT: Masked Generative Modeling of Audio Spectrograms for Efficient Audio Synthesis and Beyond
by: Comunità, Marco, et al.
Published: (2024)

MiMo-Audio: Audio Language Models are Few-Shot Learners
by: Core Team, et al.
Published: (2025)

A Practical Guide to Spectrogram Analysis for Audio Signal Processing
by: Khodzhaev, Zulfidin
Published: (2024)

Adapter Incremental Continual Learning of Efficient Audio Spectrogram Transformers
by: Selvaraj, Nithish Muthuchamy, et al.
Published: (2023)

Evaluating CNN with Stacked Feature Representations and Audio Spectrogram Transformer Models for Sound Classification
by: Dehaghania, Parinaz Binandeh, et al.
Published: (2026)

PALM: Few-Shot Prompt Learning for Audio Language Models
by: Hanif, Asif, et al.
Published: (2024)

ASGIR: Audio Spectrogram Transformer Guided Classification And Information Retrieval For Birds
by: Chaudhuri, Yashwardhan, et al.
Published: (2024)

Benchmarking Language Modeling for Lossless Compression of Full-Fidelity Audio
by: Long, Phillip, et al.
Published: (2026)

Audiobox TTA-RAG: Improving Zero-Shot and Few-Shot Text-To-Audio with Retrieval-Augmented Generation
by: Yang, Mu, et al.
Published: (2024)

Abnormal Respiratory Sound Identification Using Audio-Spectrogram Vision Transformer
by: Ariyanti, Whenty, et al.
Published: (2024)

Audio Flamingo: A Novel Audio Language Model with Few-Shot Learning and Dialogue Abilities
by: Kong, Zhifeng, et al.
Published: (2024)

Improving Audio Spectrogram Transformers for Sound Event Detection Through Multi-Stage Training
by: Schmid, Florian, et al.
Published: (2024)

UniAudio 1.5: Large Language Model-driven Audio Codec is A Few-shot Audio Task Learner
by: Yang, Dongchao, et al.
Published: (2024)

Few-Shot and Pseudo-Label Guided Speech Quality Evaluation with Large Language Models
by: Zezario, Ryandhimas E., et al.
Published: (2026)

Can Quantized Audio Language Models Perform Zero-Shot Spoofing Detection?
by: Dutta, Bikash, et al.
Published: (2025)

Just Label the Repeats for In-The-Wild Audio-to-Score Alignment
by: Bukey, Irmak, et al.
Published: (2024)

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

Synthesizer Sound Matching Using Audio Spectrogram Transformers
by: Bruford, Fred, et al.
Published: (2024)

SGPA: Spectrogram-Guided Phonetic Alignment for Feasible Shapley Value Explanations in Multimodal Large Language Models
by: Pozorski, Paweł, et al.
Published: (2026)

Mel-Refine: A Plug-and-Play Approach to Refine Mel-Spectrogram in Audio Generation
by: Guo, Hongming, et al.
Published: (2024)

Listenable Maps for Zero-Shot Audio Classifiers
by: Paissan, Francesco, et al.
Published: (2024)

Pengi: An Audio Language Model for Audio Tasks
by: Deshmukh, Soham, et al.
Published: (2023)

ElasticAST: An Audio Spectrogram Transformer for All Length and Resolutions
by: Feng, Jiu, et al.
Published: (2024)

From Coarse to Fine: Efficient Training for Audio Spectrogram Transformers
by: Feng, Jiu, et al.
Published: (2024)

Leveraging AM and FM Rhythm Spectrograms for Dementia Classification and Assessment
by: Gogoi, Parismita, et al.
Published: (2025)

Deepfake Audio Detection Using Spectrogram-based Feature and Ensemble of Deep Learning Models
by: Pham, Lam, et al.
Published: (2024)

Continuous Audio Language Models
by: Rouard, Simon, et al.
Published: (2025)

Explaining Deep Learning Embeddings for Speech Emotion Recognition by Predicting Interpretable Acoustic Features
by: Dixit, Satvik, et al.
Published: (2024)

PAM: Prompting Audio-Language Models for Audio Quality Assessment
by: Deshmukh, Soham, et al.
Published: (2024)

PAT: Parameter-Free Audio-Text Aligner to Boost Zero-Shot Audio Classification
by: Seth, Ashish, et al.
Published: (2024)

Audio Classification of Low Feature Spectrograms Utilizing Convolutional Neural Networks
by: Elias, Noel
Published: (2024)

On the Transferability of Large-Scale Self-Supervision to Few-Shot Audio Classification
by: Heggan, Calum, et al.
Published: (2024)