---
title: "Who cites HebDB: a Weakly Supervised Dataset for Hebrew…"
description: "4 papers of the Elamur Research library cite «HebDB: a Weakly Supervised Dataset for Hebrew Speech Processing», found in their bibliographies; the most…"
canonical: "https://research.elamur.ai/free/en/papers/turetzky-2024-hebdb-weakly-supervised-dataset-hebrew/cited-by/"
---
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# Who cites «HebDB: a Weakly Supervised Dataset for Hebrew Speech Processing»

4 papers of our library cite it (of the 140,884 whose bibliographies we read) · 4 with a page here, the most cited first · [← the paper](https://md.research.elamur.ai/free/en/papers/turetzky-2024-hebdb-weakly-supervised-dataset-hebrew/)

1. [**Phonikud: Overcoming Phonetic Underspecification for Hebrew Text-To-Speech**Yakov Kolani, Maxim Melichov, Cobi Calev, et al.*2025 · 3 citations*](https://md.research.elamur.ai/free/en/papers/kolani-2025-phonikud-overcoming-phonetic-underspecification-hebrew/)
2. [**A Language Modeling Approach to Diacritic-Free Hebrew TTS**Amit Roth, Arnon Turetzky, Yossi Adi*2024 · 3 citations*](https://md.research.elamur.ai/free/en/papers/roth-2024-language-modeling-approach-diacritic-free/)
3. [**VoxKnesset: A Large-Scale Longitudinal Hebrew Speech Dataset for Aging Speaker Modeling**Yanir Marmor; Arad Zulti; David Krongauz; Adam Gabet; Yoad Snapir; Yair Lifshitz;, Eran Segal*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/marmor-2026-voxknesset-large-scale-longitudinal-hebrew/)
4. [**Enhancing TTS Stability in Hebrew using Discrete Semantic Units**Ella Zeldes, Or Tal, Yossi Adi*2024 · 1 citation*](https://md.research.elamur.ai/free/en/papers/zeldes-2024-enhancing-tts-stability-hebrew-using/)
- [← back to](https://md.research.elamur.ai/free/en/papers/turetzky-2024-hebdb-weakly-supervised-dataset-hebrew/) — HebDB: a Weakly Supervised Dataset for Hebrew Speech Processing