6 papers
On the Usefulness of Diffusion-Based Room Impulse Response Interpolation to Microphone Array Processing
Sagi Della Torre, Mirco Pezzoli, Fabio Antonacci +1
Room Impulse Responses estimation is a fundamental problem in spatial audio processing and speech enhancement. In this paper, we build upon our previously introduced diffusion-base…
SSNAPS: Audio-Visual Separation of Speech and Background Noise with Diffusion Inverse Sampling
Yochai Yemini, Yoav Ellinson, Rami Ben-Ari +2
This paper addresses the challenge of audio-visual single-microphone speech separation and enhancement in the presence of real-world environmental noise. Our approach is based on g…
Spectral or spatial? Leveraging both for speaker extraction in challenging data conditions
Aviad Eisenberg, Sharon Gannot, Shlomo E. Chazan
This paper presents a robust multi-channel speaker extraction algorithm designed to handle inaccuracies in reference information. While existing approaches often rely solely on eit…
Diffusion-Based Unsupervised Audio-Visual Speech Separation in Noisy Environments with Noise Prior
Yochai Yemini, Rami Ben-Ari, Sharon Gannot +1
In this paper, we address the problem of single-microphone speech separation in the presence of ambient noise. We propose a generative unsupervised technique that directly models b…
Few-Shot Speech Deepfake Detection Adaptation with Gaussian Processes
Neta Glazer, David Chernin, Idan Achituve +2
Recent advancements in Text-to-Speech (TTS) models, particularly in voice cloning, have intensified the demand for adaptable and efficient deepfake detection methods. As TTS system…
End-to-End Multi-Microphone Speaker Extraction Using Relative Transfer Functions
Aviad Eisenberg, Sharon Gannot, Shlomo E. Chazan
This paper introduces a multi-microphone method for extracting a desired speaker from a mixture involving multiple speakers and directional noise in a reverberant environment. In t…