| Tartalom: |
http://hdl.handle.net/10890/40715 |
| Archívum: |
Műegyetem Digitális Archívum |
| Gyűjtemény: |
1. Tudományos közlemények, publikációk
Konferenciák gyűjteményei
1st Workshop on Intelligent Infocommunication Networks, Systems and Services, 2023
Workshop on Intelligent Infocommunication Networks, Systems and Services
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| Cím: |
Implementing a Text-to-Speech synthesis model on a Raspberry Pi for Industrial Applications
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| Létrehozó: |
Mandeel, Ali Raheem
Aggar, Ammar Abdullah
Al-Radhi, Mohammed Salah
Csapó, Tamás Gábor
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| Dátum: |
2023-03-13T16:07:10Z
2023-03-13T16:07:10Z
2023
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| Tartalmi leírás: |
Text-to-Speech (TTS) produces human-like speech from input text. It has recently acquired prominence by applying deep neural networks. Nowadays, end-to-end TTS models produce highly natural synthesized speech but require extremely high computational resources. Deploying such high-quality TTS models in a real-time environment has been a challenging problem due to the limited resources of embedding systems and cell phones. This paper demonstrated the implementation of an end-to-end TTS model (FastSpeech 2) in an embedded device (Raspberry Pi4 B+). The objective experimental results showed that the TTS model is compatible with the Raspberry Pi with high-quality synthesized speech and acceptable performance in terms of processing speed. Our proposed model could be used in many real-life applications if used together with a mechanism for caching, such as railway announcements and industrial purposes.
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| Nyelv: |
angol
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| Típus: |
Konferenciaközlemény
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| Formátum: |
application/pdf
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| Azonosító: |
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