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Speech Synthesis on Mobile Device for Fon Language

Créateur:
ThéCha
Éditeur:
Spr
Hôte:

Visit

doi.org

Tasks

speech processingtext to speech

Licenses

https://www.springernature.com/gp/researchers/text-and-data-mininghttps://www.springernature.com/gp/researchers/text-and-data-mining

Similaires

Parallel Speech Collection for Under-resourced Language Studies Using the Lig-Aikuma Mobile Device AppA Text to Speech System for Fon Language Using Multisyn AlgorithmResearch on Deep Neural Network for Afaan-Oromo Language Text-to-Speech SynthesisIncorporating Speech Synthesis in the Development of a Mobile Platform for e-learning.Syllabification for Afrikaans speech synthesisFon Automatic Speech Recognition Model (Wav2Vec2-Large-XLSR-53-Fon)

Parallel Speech Collection for Under-resourced Language Studies Using the Lig-Aikuma Mobile Device App

International audience This paper reports on our ongoing efforts to collect speech da

A Text to Speech System for Fon Language Using Multisyn Algorithm

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Incorporating Speech Synthesis in the Development of a Mobile Platform for e-learning.

This presentation and accompanying demonstration focuses on the development of a mobile platform for e-learning purposes with enhanced text-to-speech capabilities. It reports on an international consortium project entitled Mobile E-learning for Africa (MELFA), whic

Syllabification for Afrikaans speech synthesis

Fon Automatic Speech Recognition Model (Wav2Vec2-Large-XLSR-53-Fon)

Fine-tuned facebook/wav2vec2-large-xlsr-53 on Fon (or Fongbe) using the Fon Dataset. When using this model, make sure that your speech input is sampled at 16kHz.