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Found 6 papers, 1 papers with code
Consistency analysis of refined instrumental variable methods for continuous-time system identification in closed-loop
In this paper, we address the consistency of the simplified refined instrumental variable method for continuous-time systems (SRIVC) and its closed-loop variant CLSRIVC when they are applied on data that is generated from a feedback loop.
Spatial HuBERT: Self-supervised Spatial Speech Representation Learning for a Single Talker from Multi-channel Audio
Spatial HuBERT learns representations that outperform state-of-the-art single-channel speech representations on a variety of spatial downstream tasks, particularly in reverberant and noisy environments.
On the Relation between Discrete and Continuous-time Refined Instrumental Variable Methods
The Refined Instrumental Variable method for discrete-time systems (RIV) and its variant for continuous-time systems (RIVC) are popular methods for the identification of linear systems in open-loop.
Parsimonious Identification of Continuous-Time Systems: A Block-Coordinate Descent Approach
The identification of electrical, mechanical, and biological systems using data can benefit greatly from prior knowledge extracted from physical modeling.
A low latency attention module for streaming self-supervised speech representation learning
The SA represents our proposal for an efficient streaming SSRL implementation, while the LLSA solves the latency build-up problem of other streaming attention architectures, such as the masked acausal attention (MAA), guaranteeing a latency equal to one layer even when multiple layers are stacked.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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Consistency Analysis of the Closed-loop SRIVC Estimator
The Consistency of the Closed-Loop Simplified Refined Instrumental Variable method for Continuous-time system (CLSRIVC) is analysed based on sampled data.
