---
title: "Matt Sharifi — author profile and papers — Elamur Research"
description: "Matt Sharifi, Google: 2 papers on Elamur Research (2022–2023), h-index 8 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/matt-sharifi/"
---
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# Matt Sharifi

Matt Sharifi has 2 papers in our library, in 2022–2023, most of them on [Speech & spoken language](https://md.research.elamur.ai/free/en/topics/speech/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Damien Vincent](https://md.research.elamur.ai/free/en/authors/damien-vincent/), [Eugene Kharitonov](https://md.research.elamur.ai/free/en/authors/eugene-kharitonov/), [Marco Tagliasacchi](https://md.research.elamur.ai/free/en/authors/marco-tagliasacchi/).

2 papers in our library · 2022–2023

[OpenAlex](https://openalex.org/A5081709307) · [ORCID](https://orcid.org/0000-0002-0316-3281) · [**h-index 8**](https://openalex.org/authors/A5081709307) · [11 works](https://openalex.org/works?filter=author.id:A5081709307) · [863 citations](https://openalex.org/works?filter=author.id:A5081709307&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/matt-sharifi/#papers) · [🔗 Cited 313 times in our library](https://md.research.elamur.ai/free/en/authors/matt-sharifi/cited-by/) · [⭐ Paper Stars ranking: #2723](https://md.research.elamur.ai/free/en/paper-stars/page/28/#star-2723)

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=Matt+Sharifi) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Matt+Sharifi) · [dblp](https://dblp.org/search?q=Matt+Sharifi) · [ACL Anthology](https://aclanthology.org/search/?q=Matt+Sharifi)

## Affiliations

[🏢**Google** Zurich · Switzerland 2023 · 2 papers*current*](https://md.research.elamur.ai/free/en/companies/google-switzerland/) · [🏢**Google** Mountain View · United States 2011–2023 · 4 papers](https://md.research.elamur.ai/free/en/companies/google/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

## Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Signal Processing · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/signal-processing/)

🧭 Topics 2 Research subjects and languages the work is about.[Speech & spoken language · 2 works](https://md.research.elamur.ai/free/en/topics/speech/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/)

## Works by year

### 2020s

[**2023** 1 paper Speak, Read and Prompt: High-Fidelity Text-to-Speech with Minimal Supervision](https://md.research.elamur.ai/free/en/papers/kharitonov-2023-speak-read-prompt-high-fidelity/) · [**2022** 1 paper AudioLM: a Language Modeling Approach to Audio Generation](https://md.research.elamur.ai/free/en/papers/borsos-2022-audiolm-language-modeling-approach-audio/)

## Papers

The most cited first (OpenAlex and our library).

1. **[AudioLM: a Language Modeling Approach to Audio Generation](https://md.research.elamur.ai/free/en/papers/borsos-2022-audiolm-language-modeling-approach-audio/)** *(2022 · 570 citations)* AudioLM tackles a long-standing tension in audio synthesis: models that produce realistic-sounding waveforms tend to drift into incoherent output (such as babbling speech) without strong conditioning, while earlier "textless" spoken language models stay coherent but offer limited quality and only one clean-speech…
2. **[Speak, Read and Prompt: High-Fidelity Text-to-Speech with Minimal Supervision](https://md.research.elamur.ai/free/en/papers/kharitonov-2023-speak-read-prompt-high-fidelity/)** *(2023 · 143 citations)* SPEAR-TTS addresses the fact that text-to-speech systems usually need hundreds of hours of transcribed audio, which leaves most of the world's languages without high-quality TTS.

## Co-authors here

8 co-authors with a page, the most papers together first.

- [Damien Vincent](https://md.research.elamur.ai/free/en/authors/damien-vincent/) ×2
- [Eugene Kharitonov](https://md.research.elamur.ai/free/en/authors/eugene-kharitonov/) ×2
- [Marco Tagliasacchi](https://md.research.elamur.ai/free/en/authors/marco-tagliasacchi/) ×2
- [Neil Zeghidour](https://md.research.elamur.ai/free/en/authors/neil-zeghidour/) ×2
- [Olivier Pietquin](https://md.research.elamur.ai/free/en/authors/olivier-pietquin/) ×2
- [Raphael Marinier](https://md.research.elamur.ai/free/en/authors/raphael-marinier/) ×2
- [Zalan Borsos](https://md.research.elamur.ai/free/en/authors/zalan-borsos/) ×2
- [David Grangier](https://md.research.elamur.ai/free/en/authors/david-grangier/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [IEEE/ACM Transactions on Audio Speech and Language Processing](https://md.research.elamur.ai/free/en/venues/ieee-acm-transactions-on-audio-speech-and-language-processing/): [IEEE/ACM Transactions on Audio Speech and Language Processing 2022](https://md.research.elamur.ai/free/en/venues/ieee-acm-transactions-on-audio-speech-and-language-processing/2022/)
- [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/): [Transactions of the Association for Computational Linguistics (TACL) 2023](https://md.research.elamur.ai/free/en/venues/tacl/2023/)

## Cited by

Papers of our library cite their works 313 times (of the 141,840 papers whose bibliographies we read); [26 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/matt-sharifi/cited-by/).

Updated 24 October 2026
