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Found 5 papers, 0 papers with code
Pruning Self-Attention for Zero-Shot Multi-Speaker Text-to-Speech
To this end, the baseline TTS model needs to be amply generalized to out-of-domain data (i. e., target speaker's speech).
Cross-Lingual Transfer Learning for Phrase Break Prediction with Multilingual Language Model
We investigate the effectiveness of zero-shot and few-shot cross-lingual transfer for phrase break prediction using a pre-trained multilingual language model.
TTS-by-TTS 2: Data-selective augmentation for neural speech synthesis using ranking support vector machine with variational autoencoder
In the proposed method, we first adopt a variational autoencoder whose posterior distribution is utilized to extract latent features representing acoustic similarity between the recorded and synthetic corpora.
Cross-Speaker Emotion Transfer for Low-Resource Text-to-Speech Using Non-Parallel Voice Conversion with Pitch-Shift Data Augmentation
Because pitch-shift data augmentation enables the coverage of a variety of pitch dynamics, it greatly stabilizes training for both VC and TTS models, even when only 1, 000 utterances of the target speaker's neutral data are available.
Audio Dequantization for High Fidelity Audio Generation in Flow-based Neural Vocoder
In recent works, a flow-based neural vocoder has shown significant improvement in real-time speech generation task.
