1 citations · 1 across the 7 of their papers we have counts for
7 papers
PAST: Phonetic-Acoustic Speech Tokenizer
Nadav Har-Tuv, Or Tal, Yossi Adi
We present PAST, a novel end-to-end framework that jointly models phonetic information alongside signal reconstruction, eliminating the need for external pretrained models. Unlike…
Auto-Regressive vs Flow-Matching: a Comparative Study of Modeling Paradigms for Text-to-Music Generation
Or Tal, Felix Kreuk, Yossi Adi
Recent progress in text-to-music generation has enabled models to synthesize high-quality musical segments, full compositions, and even respond to fine-grained control signals, e.g…
Enhancing TTS Stability in Hebrew using Discrete Semantic Units
Ella Zeldes, Or Tal, Yossi Adi
This study introduces a refined approach to Text-to-Speech (TTS) generation that significantly enhances sampling stability across languages, with a particular focus on Hebrew. By l…
HebDB: a Weakly Supervised Dataset for Hebrew Speech Processing
Arnon Turetzky, Or Tal, Yael Segal-Feldman +9
We present HebDB, a weakly supervised dataset for spoken language processing in the Hebrew language. HebDB offers roughly 2500 hours of natural and spontaneous speech recordings in…
Joint Audio and Symbolic Conditioning for Temporally Controlled Text-to-Music Generation
Or Tal, Alon Ziv, Itai Gat +2
We present JASCO, a temporally controlled text-to-music generation model utilizing both symbolic and audio-based conditions. JASCO can generate high-quality music samples condition…
AERO: Audio Super Resolution in the Spectral Domain
Moshe Mandel, Or Tal, Yossi Adi
We present AERO, a audio super-resolution model that processes speech and music signals in the spectral domain. AERO is based on an encoder-decoder architecture with U-Net like ski…
A Systematic Comparison of Phonetic Aware Techniques for Speech Enhancement
Or Tal, Moshe Mandel, Felix Kreuk +1
Speech enhancement has seen great improvement in recent years using end-to-end neural networks. However, most models are agnostic to the spoken phonetic content. Recently, several…