2 citations · 5 across the 9 of their papers we have counts for
8 papers · 1 filter
Voice Agents under Acoustic Stress: From Signal Degradation to Interaction and Action
Amir Ivry, Kai-Wei Chang, Lin Zhang +2
Voice agents must complete users' tasks despite noise, reverberation, and competing speech. Evaluating agents' robustness therefore requires following how acoustic conditions affec…
AMDM-SE: Attention-based Multichannel Diffusion Model for Speech Enhancement
Renana Opochinsky, Sharon Gannot
Diffusion models have recently achieved impressive results in reconstructing images from noisy inputs, and similar ideas have been applied to speech enhancement by treating time-fr…
Transient Noise Removal via Diffusion-based Speech Inpainting
Mordehay Moradi, Sharon Gannot
In this paper, we present PGDI, a diffusion-based speech inpainting framework for restoring missing or severely corrupted speech segments. Unlike previous methods that struggle wit…
Audio-Visual Approach For Multimodal Concurrent Speaker Detection
Amit Eliav, Sharon Gannot
Concurrent Speaker Detection (CSD), the task of identifying active speakers and their overlaps in an audio signal, is essential for various audio applications, including meeting tr…
Multi-Microphone Speech Emotion Recognition using the Hierarchical Token-semantic Audio Transformer Architecture
Ohad Cohen, Gershon Hazan, Sharon Gannot
The performance of most emotion recognition systems degrades in real-life situations ('in the wild' scenarios) where the audio is contaminated by reverberation. Our study explores…
SingIt! Singer Voice Transformation
Amit Eliav, Aaron Taub, Renana Opochinsky +1
In this paper, we propose a model which can generate a singing voice from normal speech utterance by harnessing zero-shot, many-to-many style transfer learning. Our goal is to give…
Concurrent Speaker Detection: A multi-microphone Transformer-Based Approach
Amit Eliav, Sharon Gannot
We present a deep-learning approach for the task of Concurrent Speaker Detection (CSD) using a modified transformer model. Our model is designed to handle multi-microphone data but…
Single-Microphone Speaker Separation and Voice Activity Detection in Noisy and Reverberant Environments
Renana Opochinsky, Mordehay Moradi, Sharon Gannot
Speech separation involves extracting an individual speaker's voice from a multi-speaker audio signal. The increasing complexity of real-world environments, where multiple speakers…