Clay weekly context brief for the Systems category (ISO week 2026-W39).

Clay tracks publications from the Systems feed list. Below are recent items from this category, each with its source and a short description of what the publication covers when one is available in the source feed.

Recent publications:
1. PersianVox: A Prosody-Aware Approach for Speech Dataset Generation from In-the-Wild Data
   Source: eess.AS (Audio and Speech Processing)
   Link: https://arxiv.org/abs/2609.19324
   Advancement of zero-shot text-to-speech synthesis is currently hindered for low-resource languages by the scarcity of large-scale, high-fidelity speech datasets.
2. Sustainable MRI: Interpretable Deep Learning for estimating energy and power consumption, revealing key acquisition parameters and their interactions
   Source: eess.IV (Image and Video Processing)
   Link: https://arxiv.org/abs/2609.19178
   Magnetic resonance imaging (MRI) is among the most energy-intensive medical imaging modalities.
3. Closed-form weak-wave propagation pressure amplitudes for arbitrary power-law attenuation
   Source: eess.SP (Signal Processing)
   Link: https://arxiv.org/abs/2609.19458
   Biological tissues exhibit power-law frequency dependence of the attenuation coefficient.
4. Practical Zero-Trust for Mission-Critical Robotic Fleets via Hardware Attestation and Packet Timing Watermarking
   Source: eess.SY (Systems and Control)
   Link: https://arxiv.org/abs/2609.05741
   Autonomous unmanned vehicles are vital to tactical missions, mission-critical public-safety operations like search and rescue and disaster response.
5. Inverse Problems in Musical Instrument Modeling: A Structured Taxonomy and Review
   Source: eess.AS (Audio and Speech Processing)
   Link: https://arxiv.org/abs/2609.19345
   Inverse problems arise in a wide range of applications in musical acoustics, including physics-based sound synthesis, musical instrument modeling, design, and optimization.
6. Coupling Hyperspectral and 3D Data for the preventive Conservation of Palace-museums
   Source: eess.IV (Image and Video Processing)
   Link: https://arxiv.org/abs/2609.19179
   In the current context of energy and climate transition, the preventive conservation of historic buildings is particularly important due to their impact on architecture and works of art.
7. High-Velocity Whip-Mode Microresonator in LTOI Unimorph: Measurement Methodology and Large-Signal Characterization
   Source: eess.SP (Signal Processing)
   Link: https://arxiv.org/abs/2609.19468
   This paper presents the design, characterization, and large-signal measurement methodology of a high-order whip-mode flexural microresonator on a lithium tantalate-on-insulator (LTOI) unimorph platform.
8. AgentHomeID - Agent-based modelling of building stock transformation: A multi-scale framework for policy assessment and infrastructure planning
   Source: eess.SY (Systems and Control)
   Link: https://arxiv.org/abs/2609.05763
   Decarbonising the building sector is central to meeting climate targets, yet existing models rarely capture the interaction between system-level transformation dynamics and heterogeneous individual investment decisions.
9. Multimodal Conversational Context for LLM-Based ASR: Data Construction, Training, and Benchmark
   Source: eess.AS (Audio and Speech Processing)
   Link: https://arxiv.org/abs/2609.19765
   Conversational context provides semantic and acoustic cues across turns for automatic speech recognition (ASR), but relying on historical transcripts can propagate recognition errors and discard pronunciation and speaker information.
10. Perceptual Refinement of an End-to-End Video Streaming Pipeline via Generative AI Layers
   Source: eess.IV (Image and Video Processing)
   Link: https://arxiv.org/abs/2609.19215
   Traditional codecs treat every region of a frame alike; a generative layer can instead degrade the regions a viewer attends to least and reconstruct them at the client.
11. Fourier Domain Synthesis Imaging Using A Wirelessly Coordinated Distributed Antenna Array
   Source: eess.SP (Signal Processing)
   Link: https://arxiv.org/abs/2609.19562
   In this work we present an experimental demonstration of one-dimensional Fourier-domain imaging using a fully-digital wirelessly coordinated coherent distributed antenna array (CDA) receiver.
12. Bidirectional Wireless Communication for Weakly Coupled Implantable Brain-Computer Interfaces
   Source: eess.SY (Systems and Control)
   Link: https://arxiv.org/abs/2609.05786
   Implantable brain-computer interfaces (BCIs) promise transformative societal impact, from restoring lost motor, sensory, and speech function in patients with paralysis, stroke, sclerosis, and sensory deficits to serving as a high-bandwidth conduit between human cognition and machine intelligence.
13. Consensus-Guided Shared-Specific Tri-View Learning for Speech Emotion Recognition
   Source: eess.AS (Audio and Speech Processing)
   Link: https://arxiv.org/abs/2609.19826
   Speech emotion recognition (SER) benefits from heterogeneous acoustic representations, but views derived from the same utterance contain both overlapping emotional evidence and representation-dependent cues.
14. Physics-Informed Hemodynamic Modeling for Data-Free Prediction and Sparse-Data Assimilation
   Source: eess.IV (Image and Video Processing)
   Link: https://arxiv.org/abs/2609.19290
   Clinical decision-making for coronary intervention relies mainly on angiography and fractional flow reserve (FFR).
15. Scalable High-Precision Near-Field Channel Parameter Estimation via Spatial Chirp Structure
   Source: eess.SP (Signal Processing)
   Link: https://arxiv.org/abs/2609.19626
   This paper presents a scalable framework for high-precision near-field multipath channel parameter estimation in extremely large antenna array (ELAA) systems, enabling joint recovery of path number, path gains, angles, and ranges from a single noisy observation.
16. Multimodal Large Language Model-guided Constrained Optimization for RAN Intelligent Control
   Source: eess.SY (Systems and Control)
   Link: https://arxiv.org/abs/2609.06122
   Artificial intelligence (AI)-based radio access network (RAN) controllers are commonly designed for predefined operating scenarios and optimization tasks, limiting their adaptability when network conditions and operator requirements change after deployment.
17. Alignment-Path Distillation from Non-streaming ASR-LLMs for Streaming Speech Recognition
   Source: eess.AS (Audio and Speech Processing)
   Link: https://arxiv.org/abs/2609.20121
   In this paper, we propose an alignment-path distillation framework for streaming automatic speech recognition (ASR) with large language models (LLMs).
18. NIMARC-MRI: Abdominal HASTE Dataset and a Baseline U-Net Exposing the Synthetic-to-Real Gap in Low-Resource Motion Correction
   Source: eess.IV (Image and Video Processing)
   Link: https://arxiv.org/abs/2609.19323
   Respiratory motion degrades abdominal T2 HASTE MRI in low- and middle-income countries where vendor motion-correction licenses are unavailable and failed scans are deleted during routine PACS cleanup, precluding supervised training.
19. Practical flow state detection: Entropy-based EEG classification from portable EEG headbands
   Source: eess.SP (Signal Processing)
   Link: https://arxiv.org/abs/2609.19737
   Flow state, characterized by deep engagement and immersion during challenging activities, represents a valuable mental state with significant implications for learning, performance, and rehabilitation outcomes.
20. Fixed-Time Integral Reinforcement Learning for Saturated Nonlinear Multi-Agent Systems Under FDI Attacks
   Source: eess.SY (Systems and Control)
   Link: https://arxiv.org/abs/2609.06163
   The leader-follower formation control problem is investigated for nonlinear multi-agent systems with unknown dynamics, external disturbances, and false data injection (FDI) attacks on actuator channels.
21. Beyond the Stability--Plasticity Frontier in Streaming Target Speaker Extraction
   Source: eess.AS (Audio and Speech Processing)
   Link: https://arxiv.org/abs/2609.20463
   Streaming target speaker extraction must maintain a representation of whom to extract while the target may fall silent, be masked by interference, or drift acoustically away from enrollment.
22. Mammography Foundation Models for Opportunistic Prediction of Major Adverse Cardiovascular Events
   Source: eess.IV (Image and Video Processing)
   Link: https://arxiv.org/abs/2609.19385
   Cardiovascular disease (CVD) remains the leading cause of death among women, yet cardiovascular risk assessment often relies on clinical variables that may be missing, outdated, or unavailable in routine care.
23. RIS-Aided Wireless Multiport Sensing: Multiplexed De-Embedding of an RIS-Programmable Over-the-Air Fixture
   Source: eess.SP (Signal Processing)
   Link: https://arxiv.org/abs/2609.20243
   Wireless multiport sensing aims to remotely retrieve the scattering matrix of a multiport device under test (DUT) connected to not-directly-accessible (NDA) antennas, based on scattering parameters measured with remotely located accessible antennas that couple over the air (OTA) to the NDA antennas.
24. Non-parametric Formal Synthesis of Unknown Stochastic Systems: Asymptotic Convergence Guarantees
   Source: eess.SY (Systems and Control)
   Link: https://arxiv.org/abs/2609.06206
   Data-driven techniques have shown promising potential for checking behavior of complex systems operating in safety-critical domains against safety and other temporal requirements.
25. A Deep Neural Network for Predicting Continuous Human EEG Across the Auditory Pathway in Response to Sound
   Source: eess.AS (Audio and Speech Processing)
   Link: https://arxiv.org/abs/2609.20595
   Computational models of auditory physiology commonly target specific responses or stages of the auditory pathway, limiting their ability to integrate findings across experimental paradigms and neural timescales.
26. Compression Hurts, Pooling Helps: Information Loss in Rayleigh-Scale Estimation from B-Mode Ultrasound
   Source: eess.IV (Image and Video Processing)
   Link: https://arxiv.org/abs/2609.19525
   Clinical B-mode images are widely available as potential data sources for quantitative ultrasound (QUS) analysis for tissue characterization.
27. Near-Field Localization Beyond Bandwidth Limits for Large-Aperture Pinching-Antenna Systems
   Source: eess.SP (Signal Processing)
   Link: https://arxiv.org/abs/2609.20343
   Conventional bandwidth-limited ranging resolves delay on the scale of \(c_0/(2B)\), yet a large distributed aperture can support substantially finer localization through near-field carrier-phase diversity.
28. Rethinking Safety for Generalist Robots
   Source: eess.SY (Systems and Control)
   Link: https://arxiv.org/abs/2609.06326
   Generalist robots promise to transform our society: the same system that prepares a meal or folds laundry might also repair a car, inspect infrastructure, or care for a loved one.
29. V\={a}kQA: A Benchmark and Evaluation Study for Telugu Spoken Factoid Question Answering
   Source: eess.AS (Audio and Speech Processing)
   Link: https://arxiv.org/abs/2609.19879
   Question answering has advanced rapidly with large language models, but predominantly for high-resource languages, in both text and spoken settings.
30. The segmentation ceiling: why explicit left-ventricular masks do not improve learned ejection-fraction regression
   Source: eess.IV (Image and Video Processing)
   Link: https://arxiv.org/abs/2609.19730
   Accurate estimation of left ventricular ejection fraction (EF) from echocardiography is central to cardiovascular care, and deep learning enables automated EF prediction from echocardiographic video.
31. Energy-Efficient Hollow-Core Fibre Transmission
   Source: eess.SP (Signal Processing)
   Link: https://arxiv.org/abs/2609.20383
   Hollow-core fibres (HCFs) are a promising means of increasing the throughput of coherent transmission systems.
32. A Theory of Information Architecture for Networked Decisions: Freshness, Locality, and Coordination
   Source: eess.SY (Systems and Control)
   Link: https://arxiv.org/abs/2609.06351
   Networked systems face a tradeoff between the scope of the information behind a decision and its freshness: a broader view of the system supports better coordination, but assembling and communicating it takes time, so it arrives older.

Sources in this brief: eess.AS (Audio and Speech Processing); eess.IV (Image and Video Processing); eess.SP (Signal Processing); eess.SY (Systems and Control).
Selected 32 of 438 available items for this weekly brief.