On the public citation graph
TRAMBA: A Hybrid Transformer and Mamba Architecture for Practical Audio and Bone Conduction Speech Super Resolution and Enhancement on Mobile and Wearable Platforms
0 signed · 63 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/9781119279860openalex-snapshot
Audio Source Separation and Speech Enhancement
inferredcites →https://doi.org/10.1016/j.softx.2024.101811openalex-snapshot
gnss_lib_py: Analyzing GNSS data with Python
inferredcites →https://doi.org/10.1016/j.specom.2011.11.005openalex-snapshot
Perceptual speech quality measures separating speech distortion and additive noise degradations
inferredcites →https://doi.org/10.1016/j.specom.2018.06.002openalex-snapshot
Bone-conducted speech enhancement using deep denoising autoencoder
inferredcites →https://doi.org/10.1109/cvpr.2015.7298965openalex-snapshot
Fully convolutional networks for semantic segmentation
inferredcites →https://doi.org/10.1109/cvpr.2016.207openalex-snapshot
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
inferredcites →https://doi.org/10.1109/cvpr52688.2022.00805openalex-snapshot
Audio-Visual Speech Codecs: Rethinking Audio-Visual Speech Enhancement by Re-Synthesis
inferredcites →https://doi.org/10.1109/icassp.2001.941023openalex-snapshot
Perceptual evaluation of speech quality (PESQ)-a new method for speech quality assessment of telephone networks and codecs
inferredcites →https://doi.org/10.1109/icassp.2010.5495701openalex-snapshot
A short-time objective intelligibility measure for time-frequency weighted noisy speech
inferredcites →https://doi.org/10.1109/icassp.2015.7178801openalex-snapshot
A deep neural network approach to speech bandwidth expansion
inferredcites →https://doi.org/10.1109/icassp.2018.8462049openalex-snapshot
Time-Frequency Networks for Audio Super-Resolution
inferredcites →https://doi.org/10.1109/icassp.2018.8462116openalex-snapshot
TaSNet: Time-Domain Audio Separation Network for Real-Time, Single-Channel Speech Separation
inferredcites →https://doi.org/10.1109/icassp.2018.8462417openalex-snapshot
A Wavenet for Speech Denoising
inferredcites →https://doi.org/10.1109/icassp39728.2021.9413439openalex-snapshot
Real-Time Speech Frequency Bandwidth Extension
inferredcites →https://doi.org/10.1109/icassp40776.2020.9053795openalex-snapshot
Parallel Wavegan: A Fast Waveform Generation Model Based on Generative Adversarial Networks with Multi-Resolution Spectrogram
inferredcites →https://doi.org/10.1109/icassp43922.2022.9746303openalex-snapshot
Investigating Self-Supervised Learning for Speech Enhancement and Separation
inferredcites →https://doi.org/10.1109/icassp43922.2022.9747699openalex-snapshot
Tunet: A Block-Online Bandwidth Extension Model Based On Transformers And Self-Supervised Pretraining
inferredcites →https://doi.org/10.1109/icassp49357.2023.10095382openalex-snapshot
AERO: Audio Super Resolution in the Spectral Domain
inferredcites →https://doi.org/10.1109/icassp49357.2023.10096301openalex-snapshot
EBEN: Extreme Bandwidth Extension Network Applied To Speech Signals Captured With Noise-Resilient Body-Conduction Microphones
inferredcites →https://doi.org/10.1109/ipsn54338.2022.00017openalex-snapshot
AvA: An Adaptive Audio Filtering Architecture for Enhancing Mobile, Embedded, and Cyber-Physical Systems
inferredcites →https://doi.org/10.1109/mlsp52302.2021.9596082openalex-snapshot
Self-Attention for Audio Super-Resolution
inferredcites →https://doi.org/10.1109/taslp.2016.2580946openalex-snapshot
Multichannel Audio Source Separation With Deep Neural Networks
inferredcites →https://doi.org/10.1109/taslp.2019.2915167openalex-snapshot
Conv-TasNet: Surpassing Ideal Time–Frequency Magnitude Masking for Speech Separation
inferredcites →https://doi.org/10.1109/taslp.2021.3066303openalex-snapshot
An Overview of Deep-Learning-Based Audio-Visual Speech Enhancement and Separation
inferredcites →https://doi.org/10.1109/taslp.2022.3209943openalex-snapshot
Fusing Bone-Conduction and Air-Conduction Sensors for Complex-Domain Speech Enhancement
inferredcites →https://doi.org/10.1109/tassp.1976.1162849openalex-snapshot
Distance measures for speech processing
inferredcites →https://doi.org/10.1109/tetci.2017.2784878openalex-snapshot
Audio-Visual Speech Enhancement Using Multimodal Deep Convolutional Neural Networks
inferredcites →https://doi.org/10.1145/3412382openalex-snapshot
Proceedings of the 20th International Conference on Information Processing in Sensor Networks (co-located with CPS-IoT Week 2021)
inferredcites →https://doi.org/10.1145/3412382.3458784openalex-snapshot
Improving Acoustic Detection and Classification in Mobile and Embedded Platforms
inferredcites →https://doi.org/10.1145/3417313openalex-snapshot
Proceedings of the 2nd International Workshop on Challenges in Artificial Intelligence and Machine Learning for Internet of Things
inferredcites →https://doi.org/10.1145/3539490openalex-snapshot
Proceedings of the 1st ACM International Workshop on Intelligent Acoustic Systems and Applications
inferredcites →https://doi.org/10.1145/3581791.3596832openalex-snapshot
Towards Bone-Conducted Vibration Speech Enhancement on Head-Mounted Wearables
inferredcites →https://doi.org/10.1609/aaai.v32i1.11671openalex-snapshot
FiLM: Visual Reasoning with a General Conditioning Layer
inferredcites →https://doi.org/10.21437/interspeech.2013-130openalex-snapshot
Speech enhancement based on deep denoising autoencoder
inferredcites →https://doi.org/10.3390/s23010035openalex-snapshot
Enabling Real-Time On-Chip Audio Super Resolution for Bone-Conduction Microphones
inferredcites →https://doi.org/10.7488/ds/2645openalex-snapshot
CSTR VCTK Corpus: English Multi-speaker Corpus for CSTR Voice Cloning Toolkit (version 0.92)
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1016/j.inffus.2025.103250openalex-snapshot
DPEM: Dual-Perspective Enhanced Mamba for multivariate time series forecasting
inferred← citeshttps://doi.org/10.1016/j.specom.2025.103223openalex-snapshot
Enhancing bone-conducted speech with spectrum similarity metric in adversarial learning
inferred← citeshttps://doi.org/10.1016/j.specom.2025.103238openalex-snapshot
Vibravox: A dataset of french speech captured with body-conduction audio sensors
inferred← citeshttps://doi.org/10.1016/j.specom.2026.103395openalex-snapshot
MaTSE: A hybrid Mamba-Transformer model for monaural Speech Enhancement
inferred← citeshttps://doi.org/10.1109/access.2026.3656219openalex-snapshot
CLAPMamba: CLAP-Guided Mamba for Language-Queried Target Sound Extraction
inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10887874openalex-snapshot
Low-Complexity Own Voice Reconstruction for Hearables with an In-Ear Microphone
inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10889391openalex-snapshot
Speech Slytherin: Examining the Performance and Efficiency of Mamba for Speech Separation, Recognition, and Synthesis
inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10890511openalex-snapshot
Wave-U-Mamba: An End-To-End Framework For High-Quality And Efficient Speech Super Resolution
inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11460573openalex-snapshot
Lightweight Phoneme-Conditioned Bandwidth Extension for Body-Conducted Speech
inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11462170openalex-snapshot
HCGAN: Harmonic-Coupled Generative Adversarial Network for Speech Super-Resolution in Low-Bandwidth Scenarios
inferred← citeshttps://doi.org/10.1109/iscas56072.2025.11043389openalex-snapshot
CleanUMamba: A Compact Mamba Network for Speech Denoising using Channel Pruning
inferred← citeshttps://doi.org/10.1109/slt61566.2024.10832304openalex-snapshot
SSAMBA: Self-Supervised Audio Representation Learning With Mamba State Space Model
inferred← citeshttps://doi.org/10.1109/taslpro.2026.3675815openalex-snapshot
A Harmonic-Coupled Generative Adversarial Network for Speech Super-Resolution in Low Bandwidth Scenarios
inferred← citeshttps://doi.org/10.1121/10.0044570openalex-snapshot
Dual-path magnitude-phase learning with bidirectional cross-attention for bone-conducted speech restoration
inferred← citeshttps://doi.org/10.1145/3737901.3768367openalex-snapshot
Biometric Authentication Using Smartphone-Generated Acoustic Signals Modulated by Vascular Dynamics
inferred← citeshttps://doi.org/10.1145/3812835.3814802openalex-snapshot
Democratizing Physical AI via Hardware-Software Co-design for Everyday Environments
inferred← citeshttps://doi.org/10.1186/s13634-026-01350-yopenalex-snapshot
Explainable transformer-based audio loudness estimation using acoustic feature tokens and perceptron-based regression
inferred← citeshttps://doi.org/10.3390/electronics14081640openalex-snapshot
Enhancing Subband Speech Processing: Integrating Multi-View Attention Module into Inter-SubNet for Superior Speech Enhancement
inferred← citeshttps://doi.org/10.3390/s26041137openalex-snapshot
Enhancing Bone Conduction Sensor Signals via Self-Supervised Acoustic Priors and Key-Value Memory
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.