571 citations · 929 across the 39 of their papers we have counts for
6 papers · 1 filter
Active Speech Enhancement: Active Speech Denoising Decliping and Deveraberation
Ofir Yaish, Yehuda Mishaly, Eliya Nachmani
We introduce a new paradigm for active sound modification: Active Speech Enhancement (ASE). While Active Noise Cancellation (ANC) algorithms focus on suppressing external interfere…
SimulTron: On-Device Simultaneous Speech to Speech Translation
Alex Agranovich, Eliya Nachmani, Oleg Rybakov +5
Simultaneous speech-to-speech translation (S2ST) holds the promise of breaking down communication barriers and enabling fluid conversations across languages. However, achieving acc…
Separate And Diffuse: Using a Pretrained Diffusion Model for Improving Source Separation
Shahar Lutati, Eliya Nachmani, Lior Wolf
The problem of speech separation, also known as the cocktail party problem, refers to the task of isolating a single speech signal from a mixture of speech signals. Previous work o…
SepIt: Approaching a Single Channel Speech Separation Bound
Shahar Lutati, Eliya Nachmani, Lior Wolf
We present an upper bound for the Single Channel Speech Separation task, which is based on an assumption regarding the nature of short segments of speech. Using the bound, we are a…
SAGRNN: Self-Attentive Gated RNN for Binaural Speaker Separation with Interaural Cue Preservation
Ke Tan, Buye Xu, Anurag Kumar +2
Most existing deep learning based binaural speaker separation systems focus on producing a monaural estimate for each of the target speakers, and thus do not preserve the interaura…
Voice Separation with an Unknown Number of Multiple Speakers
Eliya Nachmani, Yossi Adi, Lior Wolf
We present a new method for separating a mixed audio sequence, in which multiple voices speak simultaneously. The new method employs gated neural networks that are trained to separ…