Copertina

AEROMamba: An efficient architecture for audio super-resolution using generative adversarial networks and state space models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Abreu, Wallace, Biscainho, Luiz Wagner Pereira
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Audio and Speech Processing Sound
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

AudioRepInceptionNeXt: A lightweight single-stream architecture for efficient audio recognition
di: Lau, Kin Wai, et al.
Pubblicazione: (2024)

FiPA-SR -- FiLM-Conditioned Perceptually Informed Audio Super-Resolution
di: Abreu, Wallace, et al.
Pubblicazione: (2026)

Deep learning-based filtering of cross-spectral matrices using generative adversarial networks
di: Puhle, Christof
Pubblicazione: (2025)

Bayesian Restoration of Audio Degraded by Low-Frequency Pulses Modeled via Gaussian Process
di: de Carvalho, Hugo Tremonte, et al.
Pubblicazione: (2020)

Speaker anonymization using neural audio codec language models
di: Panariello, Michele, et al.
Pubblicazione: (2023)

Synthetic training set generation using text-to-audio models for environmental sound classification
di: Ronchini, Francesca, et al.
Pubblicazione: (2024)

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

STASE: A spatialized text-to-audio synthesis engine for music generation
di: Chi, Tutti, et al.
Pubblicazione: (2025)

DashengTokenizer: One layer is enough for unified audio understanding and generation
di: Dinkel, Heinrich, et al.
Pubblicazione: (2026)

Are audio DeepFake detection models polyglots?
di: Marek, Bartłomiej, et al.
Pubblicazione: (2024)

Enhancement by postfiltering for speech and audio coding in ad-hoc sensor networks
di: Das, Sneha, et al.
Pubblicazione: (2020)

Modeling strategies for speech enhancement in the latent space of a neural audio codec
di: Kammoun, Sofiene, et al.
Pubblicazione: (2025)

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

Regularized autoregressive modeling and its application to audio signal reconstruction
di: Mokrý, Ondřej, et al.
Pubblicazione: (2024)

Visual-based spatial audio generation system for multi-speaker environments
di: Liu, Xiaojing, et al.
Pubblicazione: (2025)

Reconstructing the Charlie Parker Omnibook using an audio-to-score automatic transcription pipeline
di: Riley, Xavier, et al.
Pubblicazione: (2024)

Discriminating real and synthetic super-resolved audio samples using embedding-based classifiers
di: Silaev, Mikhail, et al.
Pubblicazione: (2026)

Codec-SUPERB @ SLT 2024: A lightweight benchmark for neural audio codec models
di: Wu, Haibin, et al.
Pubblicazione: (2024)

ParaCLAP -- Towards a general language-audio model for computational paralinguistic tasks
di: Jing, Xin, et al.
Pubblicazione: (2024)

WavJEPA: Semantic learning unlocks robust audio foundation models for raw waveforms
di: Yuksel, Goksenin, et al.
Pubblicazione: (2025)

Leveraging Real Electric Guitar Tones and Effects to Improve Robustness in Guitar Tablature Transcription Modeling
di: Pedroza, Hegel, et al.
Pubblicazione: (2024)

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

Blind estimation of audio effects using an auto-encoder approach and differentiable digital signal processing
di: Peladeau, Côme, et al.
Pubblicazione: (2023)

An overview of neural architectures for self-supervised audio representation learning from masked spectrograms
di: Yadav, Sarthak, et al.
Pubblicazione: (2025)

Tweaking autoregressive methods for inpainting of gaps in audio signals
di: Mokrý, Ondřej, et al.
Pubblicazione: (2024)

MBCodec:Thorough disentangle for high-fidelity audio compression
di: Zhang, Ruonan, et al.
Pubblicazione: (2025)

Real-time implementation of vibrato transfer as an audio effect
di: Hyrkas, Jeremy
Pubblicazione: (2025)

A SOUND APPROACH: Using Large Language Models to generate audio descriptions for egocentric text-audio retrieval
di: Oncescu, Andreea-Maria, et al.
Pubblicazione: (2024)

EDTC: enhance depth of text comprehension in automated audio captioning
di: Tan, Liwen, et al.
Pubblicazione: (2024)

FxSearcher: gradient-free text-driven audio transformation
di: Ki, Hojoon, et al.
Pubblicazione: (2025)

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

Guitar-TECHS: An Electric Guitar Dataset Covering Techniques, Musical Excerpts, Chords and Scales Using a Diverse Array of Hardware
di: Pedroza, Hegel, et al.
Pubblicazione: (2025)

A state-space representation of the boundary integral equation for room acoustic modelling
di: Ali, Randall, et al.
Pubblicazione: (2026)

Testing chatbots on the creation of encoders for audio conditioned image generation
di: León, Jorge E., et al.
Pubblicazione: (2025)

Towards generalizing deep-audio fake detection networks
di: Gasenzer, Konstantin, et al.
Pubblicazione: (2023)

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

Deep learning based spatial aliasing reduction in beamforming for audio capture
di: Guzik, Mateusz, et al.
Pubblicazione: (2025)

Human-CLAP: Human-perception-based contrastive language-audio pretraining
di: Takano, Taisei, et al.
Pubblicazione: (2025)

ICGAN: An implicit conditioning method for interpretable feature control of neural audio synthesis
di: Liu, Yunyi, et al.
Pubblicazione: (2024)

A robust audio deepfake detection system via multi-view feature
di: Yang, Yujie, et al.
Pubblicazione: (2024)