Search Results for author: Amir Ivry

Found 7 papers, 1 papers with code

Deep Learning Interviews: Hundreds of fully solved job interview questions from a wide range of key topics in AI

2 code implementations30 Dec 2021 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.

Multiclass Permanent Magnets Superstructure for Indoor Localization using Artificial Intelligence

no code implementations14 Jul 2021 Amir Ivry, Elad Fisher, Roger Alimi, Idan Mosseri, Kanna Nahir

Here, we present an extended version of that algorithm for multi-superstructure localization, which covers a broader localization area of the user.

Indoor Localization

Machine Learning Detection Algorithm for Large Barkhausen Jumps in Cluttered Environment

no code implementations27 Jun 2021 Roger Alimi, Amir Ivry, Elad Fisher, Eyal Weiss

In addition, high generalization and robustness of the neural network can be concluded, based on the rapid convergence of the corresponding receiver operating characteristic curves.

Evaluation of Deep-Learning-Based Voice Activity Detectors and Room Impulse Response Models in Reverberant Environments

no code implementations25 Jun 2021 Amir Ivry, Israel Cohen, Baruch Berdugo

To mitigate this mismatch between training data and real data, we simulate an augmented training set that contains nearly five million utterances.

Deep Residual Echo Suppression with A Tunable Tradeoff Between Signal Distortion and Echo Suppression

no code implementations25 Jun 2021 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 the spectral domain.

Nonlinear Acoustic Echo Cancellation with Deep Learning

no code implementations25 Jun 2021 Amir Ivry, Israel Cohen, Baruch Berdugo

Second, the network is succeeded by a standard adaptive linear filter that constantly tracks the echo path between the loudspeaker output and the microphone.

Acoustic echo cancellation

Voice Activity Detection for Transient Noisy Environment Based on Diffusion Nets

no code implementations25 Jun 2021 Amir Ivry, Baruch Berdugo, Israel Cohen

A deep neural network, which is trained to separate speech from non-speech frames, is obtained by concatenating the decoder to the encoder, resembling the known Diffusion nets architecture.

Action Detection Activity Detection

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