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Found 3 papers, 1 papers with code
Emphasis control for parallel neural TTS
Recent parallel neural text-to-speech (TTS) synthesis methods are able to generate speech with high fidelity while maintaining high performance.
Hierarchical prosody modeling and control in non-autoregressive parallel neural TTS
Neural text-to-speech (TTS) synthesis can generate speech that is indistinguishable from natural speech.
SylNet: An Adaptable End-to-End Syllable Count Estimator for Speech
Automatic syllable count estimation (SCE) is used in a variety of applications ranging from speaking rate estimation to detecting social activity from wearable microphones or developmental research concerned with quantifying speech heard by language-learning children in different environments.
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