Expressive Speech Synthesis
11 papers with code • 0 benchmarks • 0 datasets
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Latest papers with no code
Towards Expressive Speaking Style Modelling with Hierarchical Context Information for Mandarin Speech Synthesis
In this paper, we propose a hierarchical framework to model speaking style from context.
Word-Level Style Control for Expressive, Non-attentive Speech Synthesis
This paper presents an expressive speech synthesis architecture for modeling and controlling the speaking style at a word level.
Referee: Towards reference-free cross-speaker style transfer with low-quality data for expressive speech synthesis
The S2W model is trained with high-quality target data, which is adopted to effectively aggregate style descriptors and generate high-fidelity speech in the target speaker's voice.
Cross-speaker Style Transfer with Prosody Bottleneck in Neural Speech Synthesis
Secondly, in these models the content/text, prosody, and speaker timbre are usually highly entangled, it's therefore not realistic to expect a satisfied result when freely combining these components, such as to transfer speaking style between speakers.
UniTTS: Residual Learning of Unified Embedding Space for Speech Style Control
We propose a novel high-fidelity expressive speech synthesis model, UniTTS, that learns and controls overlapping style attributes avoiding interference.
Towards Multi-Scale Style Control for Expressive Speech Synthesis
This paper introduces a multi-scale speech style modeling method for end-to-end expressive speech synthesis.
Sentiment Analysis for Emotional Speech Synthesis in a News Dialogue System
As smart speakers and conversational robots become ubiquitous, the demand for expressive speech synthesis has increased.
Hierarchical Multi-Grained Generative Model for Expressive Speech Synthesis
This framework consists of a multi-grained variational autoencoder, a conditional prior, and a multi-level auto-regressive latent converter to obtain the different time-resolution latent variables and sample the finer-level latent variables from the coarser-level ones by taking into account the input text.
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.
The Theory behind Controllable Expressive Speech Synthesis: a Cross-disciplinary Approach
Finally, we focus on the last one, with the last techniques modeling Text-to-Speech synthesis as a sequence-to-sequence problem.
