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Found 5 papers, 1 papers with code
Enhancing Privacy and Security of Autonomous UAV Navigation
In critical scenarios such as border protection or disaster response, ensuring the secure navigation of autonomous UAVs is paramount.
Parallel WaveNet conditioned on VAE latent vectors
In this paper we investigate the use of a sentence-level conditioning vector to improve the signal quality of a Parallel WaveNet neural vocoder.
BOFFIN TTS: Few-Shot Speaker Adaptation by Bayesian Optimization
We present BOFFIN TTS (Bayesian Optimization For FIne-tuning Neural Text To Speech), a novel approach for few-shot speaker adaptation.
Using VAEs and Normalizing Flows for One-shot Text-To-Speech Synthesis of Expressive Speech
We propose a Text-to-Speech method to create an unseen expressive style using one utterance of expressive speech of around one second.
Towards achieving robust universal neural vocoding
This vocoder is shown to be capable of generating speech of consistently good quality (98% relative mean MUSHRA when compared to natural speech) regardless of whether the input spectrogram comes from a speaker or style seen during training or from an out-of-domain scenario when the recording conditions are studio-quality.
