---
title: "Amit Roth — papers and cards"
description: "Amit Roth: 2 paper cards in the Research library (2024), with what each paper is about, the ideas Mova took from it, and the co-authors."
canonical: "https://research.elamur.ai/free/en/authors/amit-roth/"
---
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# Amit Roth

2 paper cards in the Research library · 2024

Amit Roth wrote 2 of the papers Mova reads, in 2024; often with [Arnon Turetzky](https://md.research.elamur.ai/free/en/authors/arnon-turetzky/), [Yossi Adi](https://md.research.elamur.ai/free/en/authors/yossi-adi/), Bronya R. Chernyak.

[OpenAlex](https://openalex.org/A5107234710) · [**h-index 2**](https://openalex.org/authors/A5107234710) · [11 citations](https://openalex.org/authors/A5107234710) · [6 works](https://openalex.org/works?filter=author.id:A5107234710) — openalex-snapshot, 2026-10-14

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Amit+Roth) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Amit+Roth) · [dblp](https://dblp.org/search?q=Amit+Roth) · [ACL Anthology](https://aclanthology.org/search/?q=Amit+Roth) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Amit+Roth)

## Papers

1. **[HebDB: a Weakly Supervised Dataset for Hebrew Speech Processing](https://md.research.elamur.ai/free/en/papers/langstream-2024-turetzky-hebdb-weakly-supervised-dataset-hebrew/)** *(2024)* HebDB is a speech corpus of roughly 2,500 hours of spontaneous Hebrew: podcasts on many topics plus testimonies of World War II survivors, released both raw and pre-processed.
2. **[A Language Modeling Approach to Diacritic-Free Hebrew TTS](https://md.research.elamur.ai/free/en/papers/langstream-2024-roth-language-modeling-approach-diacritic-free/)** *(2024)* The authors build a text-to-speech system for undotted (undiacritized) Hebrew. An autoregressive language model over discrete EnCodec tokens is conditioned on a word-piece encoding of the plain text, with a 3-second acoustic prompt. The model is trained on about 4,500 hours of weakly transcribed podcast speech…

## Co-authors (11)

- [Arnon Turetzky](https://md.research.elamur.ai/free/en/authors/arnon-turetzky/) ×2
- [Yossi Adi](https://md.research.elamur.ai/free/en/authors/yossi-adi/) ×2
- Bronya R. Chernyak
- [Ella Zeldes](https://md.research.elamur.ai/free/en/authors/ella-zeldes/)
- Eyal Cohen
- Joseph Keshet
- Olga Seleznova
- [Or Tal](https://md.research.elamur.ai/free/en/authors/or-tal/)
- Yael Segal-Feldman
- Yehoshua Dissen
- Yosi Shrem