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Found 4 papers, 0 papers with code
Vocal effort modeling in neural TTS for improving the intelligibility of synthetic speech in noise
We present a neural text-to-speech (TTS) method that models natural vocal effort variation to improve the intelligibility of synthetic speech in the presence of noise.
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.
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.
On-device neural speech synthesis
Recent advances in text-to-speech (TTS) synthesis, such as Tacotron and WaveRNN, have made it possible to construct a fully neural network based TTS system, by coupling the two components together.
