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ZENODO
Software . 2026
License: CC BY SA
Data sources: ZENODO
ZENODO
Software . 2026
License: CC BY SA
Data sources: Datacite
ZENODO
Software . 2026
License: CC BY SA
Data sources: Datacite
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Ler_Grego_Antigo.app TTS app for MacOS

Ler Grego Antigo app para MacOS
Authors: D'Orange Ferreira, Anise;

Ler_Grego_Antigo.app TTS app for MacOS

Abstract

Read Ancient Greek — TTS with eSpeak-NG and AppleScript (macOS) Overview This macOS application (Read Ancient Greek.app => Ler_Grego_AntigoOK.app -name in Portuguese) is capable of: • reading Ancient Greek (grc) texts with restored pronunciation; • generating .wav audio files automatically; • applying audio post-processing (tempo, volume, pitch); • running fully offline, without web services. The solution is based on eSpeak-NG (a rule-based articulatory TTS engine) integrated into a macOS AppleScript application. As of 2025, eSpeak-NG remains the only stable and reproducible solution for Ancient Greek TTS. Using the application 1. Launch Ler_Grego_AntigoOK.app 2. Enter Ancient Greek text (polytonic) 3. Wait a few seconds 4. The audio will be generated, saved with date and time in wav. format. See example attached. Final notes • The eSpeak-NG voice is mechanically sounding, but phonologically explicit and controllable. Unfortunately, current neural TTS models (e.g., MMS-TTS-grc) are not suitable for Ancient Greek as of 2025.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average