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Found 8 papers, 1 papers with code
SoftFlow: Probabilistic Framework for Normalizing Flow on Manifolds
Flow-based generative models are composed of invertible transformations between two random variables of the same dimension.
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Transfer Learning Framework for Low-Resource Text-to-Speech using a Large-Scale Unlabeled Speech Corpus
The experimental results verify the effectiveness of the proposed method in terms of naturalness, intelligibility, and speaker generalization.
Into-TTS : Intonation Template Based Prosody Control System
Two proposed modules are added to the end-to-end TTS framework: an intonation predictor and an intonation encoder.
An Empirical Study on L2 Accents of Cross-lingual Text-to-Speech Systems via Vowel Space
With the recent developments in cross-lingual Text-to-Speech (TTS) systems, L2 (second-language, or foreign) accent problems arise.
SNAC: Speaker-normalized affine coupling layer in flow-based architecture for zero-shot multi-speaker text-to-speech
Zero-shot multi-speaker text-to-speech (ZSM-TTS) models aim to generate a speech sample with the voice characteristic of an unseen speaker.
Latent Filling: Latent Space Data Augmentation for Zero-shot Speech Synthesis
Previous works in zero-shot text-to-speech (ZS-TTS) have attempted to enhance its systems by enlarging the training data through crowd-sourcing or augmenting existing speech data.
Efficient Parallel Audio Generation using Group Masked Language Modeling
We present a fast and high-quality codec language model for parallel audio generation.
Utilizing Neural Transducers for Two-Stage Text-to-Speech via Semantic Token Prediction
We also delve into the inference speed and prosody control capabilities of our approach, highlighting the potential of neural transducers in TTS frameworks.
