roatienza/efficientspeech
PyTorch code implementation of EfficientSpeech - to be presented at ICASSP2023.
This project helps convert written text into natural-sounding speech audio files, directly on small, low-power devices like a Raspberry Pi. You provide the text you want spoken, and it generates a high-quality audio file (.wav) of that text. This is ideal for developers creating applications that need to deliver spoken content on embedded systems, mobile devices, or in resource-constrained environments.
180 stars. No commits in the last 6 months.
Use this if you need to integrate text-to-speech capabilities into an application running on a device with limited computational power and memory, where traditional TTS models are too slow or too large.
Not ideal if you primarily need extremely high-fidelity, human-like speech generation for professional voiceovers on powerful servers, or if you require support for many languages beyond English.
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Apache-2.0
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Mar 18, 2024
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