by tharushaudana
Open source · 281 downloads · 0 likes
This model is an enhanced version of a text-to-speech (TTS) system specifically designed for Sinhala, incorporating a custom vocabulary for improved accuracy and naturalness. It converts text into speech with intonation and fluency tailored to the language, while accounting for specialized or technical terms through its custom vocabulary. Particularly useful for applications requiring a natural Sinhala voice—such as voice assistants, audiobooks, or accessibility services—it stands out for its ability to adapt to diverse contexts while maintaining high audio quality. Its development addresses the needs of Sri Lankan users or projects requiring synthetic Sinhala speech, with a focus on integrating local or specialized terminology.
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
Use the code below to get started with the model.
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Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
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