---
title: "Physiology — papers — Elamur Research"
description: "Physiology: 11 papers of the Elamur Research library, the most cited first — our summary of each, its ideas, references and who cites it."
canonical: "https://research.elamur.ai/free/en/shelves/medicine/physiology/"
---
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# 🩺 Physiology

11 papers · the most cited first · [all shelves](https://md.research.elamur.ai/free/en/shelves/)

Physiology is a subfield of Medicine in the OpenAlex classification of science. The topics most of its papers here are on: «Voice and Speech Disorders».

## Papers (11)

1. [**Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers**Chengyi Wang, Sanyuan Chen, Yu Wu, et al.*2023 · 333 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-neural-codec-language-models-zero/)
2. [**Seed-TTS: A Family of High-Quality Versatile Speech Generation Models**Philip Anastassiou, Jiawei Chen, Jitong Chen, et al.*2024 · 69 citations*](https://md.research.elamur.ai/free/en/papers/anastassiou-2024-seed-tts-family-high/)
3. [**Vocal Pathologies Detection and Mispronounced Phonemes Identification: Case of Arabic Continuous Speech**Naim Terbeh, Mounir Zrigui*2016 · 6 citations*](https://md.research.elamur.ai/free/en/papers/terbeh-2016-vocal-pathologies-detection-mispronounced-phonemes/)
4. [**Arabic Dysarthric Speech Recognition Using Adversarial and Signal-Based Augmentation**Massa Baali, Ibrahim Almakky, Shady Shehata, et al.*2023 · 4 citations*](https://md.research.elamur.ai/free/en/papers/baali-2023-arabic-dysarthric-speech-recognition-using/)
5. [**Harf-Speech: A Clinically Aligned Framework for Arabic Phoneme-Level Speech Assessment**Asif Azad, MD Sadik Hossain Shanto, Mohammad Sadat Hossain, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/azad-2026-harf-speech-clinically-aligned-framework/)
6. [**Neural Network-assisted Analysis of Tube Vocal Tract Models**Runhui Song, Johan Sjons, Axel G. Ekstrom*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/song-2026-neural-network-assisted-analysis-tube/)
7. [**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/)
8. [**AURORA Model of Formant-to-tongue Inversion for Didactic and Clinical Applications**Patrycja Strycharczuk, Sam Kirkham*2026*](https://md.research.elamur.ai/free/en/papers/strycharczuk-2026-aurora-model-formant-tongue-inversion/)
9. [**SOMVOICE: A First Dataset to Study the Effects of Sleep Deprivation on Voice Characteristics of Healthy French Speakers**Vincent P. Martin, Jean-Luc Rouas, Colleen Beaumard, et al.*2026*](https://md.research.elamur.ai/free/en/papers/martin-2026-somvoice-first-dataset-study-effects/)
10. [**Tools for Estimating the Perceived Level of Phonetic Reduction**Nigel Ward, Javier Vazquez, Emma (Danny) R. Boushka, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ward-2026-tools-estimating-perceived-level-phonetic/)
11. [**L'impact des variations temporelles intrinsèques et extrinsèques de la voyelle sur la relation consonne-voyelle : Étude translinguistique sur l'arabe jordanien et le français (The impact of extrinsic and intrisic vowel temporal variations on the consonant-vowel relationship : A trans-linguistic investigation on Jordanian Arabic and French)**Mohammad Abuoudeh, Olivier Crouzet*2016*](https://md.research.elamur.ai/free/en/papers/abuoudeh-2016-l-impact-des-variations-temporelles/)

Updated 24 October 2026

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