28 citations · 81 across the 10 of their papers we have counts for
11 papers
An Automated Tip-and-Cue Framework for Optimized Satellite Tasking and Visual Intelligence
Gil Weissman, Amir Ivry, Israel Cohen
The proliferation of satellite constellations, coupled with reduced tasking latency and diverse sensor capabilities, has expanded the opportunities for automated Earth observation.…
Probing Layer-Wise Robustness and Sensitivity of Speech Enhancement Models
Yair Amar, Amir Ivry, Israel Cohen
Speech enhancement (SE) models advance rapidly, yet how input degradation affects their internal representations remains underexplored. We introduce a probing framework to characte…
Deep Learning Interviews: Hundreds of fully solved job interview questions from a wide range of key topics in AI
Shlomo Kashani, Amir Ivry
The second edition of Deep Learning Interviews is home to hundreds of fully-solved problems, from a wide range of key topics in AI. It is designed to both rehearse interview or exa…
Objective Metrics to Evaluate Residual-Echo Suppression During Double-Talk
Amir Ivry, Israel Cohen, Baruch Berdugo
Human subjective evaluation is optimal to assess speech quality for human perception. The recently introduced deep noise suppression mean opinion score (DNSMOS) metric was shown to…
Multiclass Permanent Magnets Superstructure for Indoor Localization using Artificial Intelligence
Amir Ivry, Elad Fisher, Roger Alimi +2
Smartphones have become a popular tool for indoor localization and position estimation of users. Existing solutions mainly employ Wi-Fi, RFID, and magnetic sensing techniques to tr…
Low power in-situ AI Calibration of a 3 Axial Magnetic Sensor
Roger Alimi, Elad Fisher, Amir Ivry +2
Magnetic surveys are conventionally performed by scanning a domain with a portable scalar magnetic sensor. Unfortunately, scalar magnetometers are expensive, power consuming and bu…
Machine Learning Detection Algorithm for Large Barkhausen Jumps in Cluttered Environment
Roger Alimi, Amir Ivry, Elad Fisher +1
Modern magnetic sensor arrays conventionally utilize state of the art low power magnetometers such as parallel and orthogonal fluxgates. Low power fluxgates tend to have large Bark…
Voice Activity Detection for Transient Noisy Environment Based on Diffusion Nets
Amir Ivry, Baruch Berdugo, Israel Cohen
We address voice activity detection in acoustic environments of transients and stationary noises, which often occur in real life scenarios. We exploit unique spatial patterns of sp…
Nonlinear Acoustic Echo Cancellation with Deep Learning
Amir Ivry, Israel Cohen, Baruch Berdugo
We propose a nonlinear acoustic echo cancellation system, which aims to model the echo path from the far-end signal to the near-end microphone in two parts. Inspired by the physica…
Deep Residual Echo Suppression with A Tunable Tradeoff Between Signal Distortion and Echo Suppression
Amir Ivry, Israel Cohen, Baruch Berdugo
In this paper, we propose a residual echo suppression method using a UNet neural network that directly maps the outputs of a linear acoustic echo canceler to the desired signal in…
Evaluation of Deep-Learning-Based Voice Activity Detectors and Room Impulse Response Models in Reverberant Environments
Amir Ivry, Israel Cohen, Baruch Berdugo
State-of-the-art deep-learning-based voice activity detectors (VADs) are often trained with anechoic data. However, real acoustic environments are generally reverberant, which caus…