2025
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MAPSS: Manifold-based Assessment of Perceptual Source Separation
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Summary of the NOTSOFAR-1 challenge: Highlights and learnings
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E-URES 2.0: Efficient User-Centric Residual-Echo Suppression with a Lightweight Neural Network
2024
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NOTSOFAR-1 challenge: New datasets, baseline, and tasks for distant meeting transcription
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A user-centric approach for deep residual-echo suppression in double-talk
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E-URES: Efficient user-centric residual-echo suppression framework with a data-driven approach to reducing computational costs
2023
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Deep adaptation control for stereophonic acoustic echo cancellation
2022
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Off-the-shelf deep integration for residual-echo suppression
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Deep adaptation control for acoustic echo cancellation
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Objective Metrics to Evaluate Residual-Echo Suppression During Double-Talk in the Stereophonic Case
2021
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Deep learning interviews: hundreds of fully solved job interview questions from a wide range of key topics in AI
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Smartphone based indoor localization using permanent magnets and artificial intelligence for pattern recognition
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Deep residual echo suppression with a tunable tradeoff between signal distortion and echo suppression
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Multiclass permanent magnets superstructure for indoor localization using artificial intelligence
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Nonlinear acoustic echo cancellation with deep learning
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Objective metrics to evaluate residual-echo suppression during double-talk
2020
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Evaluation of deep-learning-based voice activity detectors and room impulse response models in reverberant environments
2019
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Voice activity detection for transient noisy environment based on diffusion nets
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Machine-Learning Detection Algorithms for Large Barkhausen Jumps in Cluttered Environment
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Low power in situ AI calibration of a three-axial magnetic sensor
2018
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Investigation and modeling of large Barkhausen jumps dynamics in low-power fluxgate magnetometers
2016
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Enhancement of BCI classifiers through domain adaptation