Search Results for author: Felix Kreuk

Found 10 papers, 5 papers with code

Self-supervised Speaker Diarization

no code implementations8 Apr 2022 Yehoshua Dissen, Felix Kreuk, Joseph Keshet

Specifically, the study focuses on generating high-quality neural speaker representations without any annotated data, as well as on estimating secondary hyperparameters of the model without annotations.

Speaker Diarization Speaker Verification

Correcting Misproducted Speech using Spectrogram Inpainting

1 code implementation7 Apr 2022 Talia Ben-Simon, Felix Kreuk, Faten Awwad, Jacob T. Cohen, Joseph Keshet

Grownup learners of a language tweak their speech to match the tutor reference.

Textless Speech Emotion Conversion using Discrete and Decomposed Representations

no code implementations14 Nov 2021 Felix Kreuk, Adam Polyak, Jade Copet, Eugene Kharitonov, Tu-Anh Nguyen, Morgane Rivière, Wei-Ning Hsu, Abdelrahman Mohamed, Emmanuel Dupoux, Yossi Adi

We use a decomposition of the speech signal into discrete learned representations, consisting of phonetic-content units, prosodic features, speaker, and emotion.

Self-Supervised Contrastive Learning for Unsupervised Phoneme Segmentation

1 code implementation27 Jul 2020 Felix Kreuk, Joseph Keshet, Yossi Adi

Results suggest that our approach surpasses the baseline models and reaches state-of-the-art performance on both data sets.

Boundary Detection Contrastive Learning +1

A causal view of compositional zero-shot recognition

1 code implementation NeurIPS 2020 Yuval Atzmon, Felix Kreuk, Uri Shalit, Gal Chechik

This leads to consistent misclassification of samples from a new distribution, like new combinations of known components.

Compositional Zero-Shot Learning

Phoneme Boundary Detection using Learnable Segmental Features

1 code implementation11 Feb 2020 Felix Kreuk, Yaniv Sheena, Joseph Keshet, Yossi Adi

Phoneme boundary detection plays an essential first step for a variety of speech processing applications such as speaker diarization, speech science, keyword spotting, etc.

Boundary Detection Keyword Spotting +1

Hide and Speak: Towards Deep Neural Networks for Speech Steganography

1 code implementation7 Feb 2019 Felix Kreuk, Yossi Adi, Bhiksha Raj, Rita Singh, Joseph Keshet

Steganography is the science of hiding a secret message within an ordinary public message, which is referred to as Carrier.

Fooling End-to-end Speaker Verification by Adversarial Examples

no code implementations10 Jan 2018 Felix Kreuk, Yossi Adi, Moustapha Cisse, Joseph Keshet

We also present two black-box attacks: where the adversarial examples were generated with a system that was trained on YOHO, but the attack is on a system that was trained on NTIMIT; and when the adversarial examples were generated with a system that was trained on Mel-spectrum feature set, but the attack is on a system that was trained on MFCC.

Speaker Verification

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