Cover Image

Learning Disentangled Audio Representations through Controlled Synthesis

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Brima, Yusuf, Krumnack, Ulf, Pika, Simone, Heidemann, Gunther
Format:	Preprint
Published:	2024
Subjects:	Sound Machine Learning Audio and Speech Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learning Disentangled Speech Representations
by: Brima, Yusuf, et al.
Published: (2023)

Understanding Self-Supervised Learning of Speech Representation via Invariance and Redundancy Reduction
by: Brima, Yusuf, et al.
Published: (2023)

Evaluating Disentangled Representations for Controllable Music Generation
by: Ibáñez-Martínez, Laura, et al.
Published: (2026)

Zero Shot Audio to Audio Emotion Transfer With Speaker Disentanglement
by: Dutta, Soumya, et al.
Published: (2024)

Learning Music Audio Representations With Limited Data
by: Plachouras, Christos, et al.
Published: (2025)

COCOLA: Coherence-Oriented Contrastive Learning of Musical Audio Representations
by: Ciranni, Ruben, et al.
Published: (2024)

Unsupervised Composable Representations for Audio
by: Bindi, Giovanni, et al.
Published: (2024)

PoDAR: Power-Disentangled Audio Representation for Generative Modeling
by: Luebs, Alejandro, et al.
Published: (2026)

ParaMETA: Towards Learning Disentangled Paralinguistic Speaking Styles Representations from Speech
by: Lou, Haowei, et al.
Published: (2026)

CLAP-ART: Automated Audio Captioning with Semantic-rich Audio Representation Tokenizer
by: Takeuchi, Daiki, et al.
Published: (2025)

Learning Source Disentanglement in Neural Audio Codec
by: Bie, Xiaoyu, et al.
Published: (2024)

Towards Robust Few-shot Class Incremental Learning in Audio Classification using Contrastive Representation
by: Singh, Riyansha, et al.
Published: (2024)

Annotation-Free MIDI-to-Audio Synthesis via Concatenative Synthesis and Generative Refinement
by: Take, Osamu, et al.
Published: (2024)

Enhancing Audio-Language Models through Self-Supervised Post-Training with Text-Audio Pairs
by: Sinha, Anshuman, et al.
Published: (2024)

ADD 2022: the First Audio Deep Synthesis Detection Challenge
by: Yi, Jiangyan, et al.
Published: (2022)

Self-Supervised Multi-View Learning for Disentangled Music Audio Representations
by: Wilkins, Julia, 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)

Learning Spatially-Aware Language and Audio Embeddings
by: Devnani, Bhavika, et al.
Published: (2024)

Contrastive Learning from Synthetic Audio Doppelgängers
by: Cherep, Manuel, et al.
Published: (2024)

Learning to Upsample and Upmix Audio in the Latent Domain
by: Bralios, Dimitrios, et al.
Published: (2025)

Multi-Task Corrupted Prediction for Learning Robust Audio-Visual Speech Representation
by: Kim, Sungnyun, et al.
Published: (2025)

LiLAC: A Lightweight Latent ControlNet for Musical Audio Generation
by: Baker, Tom, et al.
Published: (2025)

A2SB: Audio-to-Audio Schrodinger Bridges
by: Kong, Zhifeng, et al.
Published: (2025)

CAK: Emergent Audio Effects from Minimal Deep Learning
by: Rockman, Austin
Published: (2025)

TACOS: Temporally-aligned Audio CaptiOnS for Language-Audio Pretraining
by: Primus, Paul, et al.
Published: (2025)

On Class Separability Pitfalls In Audio-Text Contrastive Zero-Shot Learning
by: Tavares, Tiago, et al.
Published: (2024)

Meta-Learning in Audio and Speech Processing: An End to End Comprehensive Review
by: Raimon, Athul, et al.
Published: (2024)

The Rarity of Musical Audio Signals Within the Space of Possible Audio Generation
by: Collins, Nick
Published: (2024)

Estimated Audio-Caption Correspondences Improve Language-Based Audio Retrieval
by: Primus, Paul, et al.
Published: (2024)

Fusing Audio and Metadata Embeddings Improves Language-based Audio Retrieval
by: Primus, Paul, et al.
Published: (2024)

Adversarial Representation Learning for Robust Privacy Preservation in Audio
by: Gharib, Shayan, et al.
Published: (2023)

Self-Supervised Disentangled Representation Learning for Robust Target Speech Extraction
by: Mu, Zhaoxi, et al.
Published: (2023)

Audio Match Cutting: Finding and Creating Matching Audio Transitions in Movies and Videos
by: Fedorishin, Dennis, et al.
Published: (2024)

Self-Learning for Personalized Keyword Spotting on Ultra-Low-Power Audio Sensors
by: Rusci, Manuele, et al.
Published: (2024)

Active Restoration of Lost Audio Signals Using Machine Learning and Latent Information
by: Cheddad, Zohra Adila, et al.
Published: (2021)

Patch-Mix Contrastive Learning with Audio Spectrogram Transformer on Respiratory Sound Classification
by: Bae, Sangmin, et al.
Published: (2023)

uaMix-MAE: Efficient Tuning of Pretrained Audio Transformers with Unsupervised Audio Mixtures
by: Tabassum, Afrina, et al.
Published: (2024)

LC-Protonets: Multi-Label Few-Shot Learning for World Music Audio Tagging
by: Papaioannou, Charilaos, et al.
Published: (2024)

Diffusion Models for Audio Restoration
by: Lemercier, Jean-Marie, et al.
Published: (2024)

Multi-bit Audio Watermarking
by: Lanzendörfer, Luca A., et al.
Published: (2025)