Deep learning-based expressive speech synthesis: a systematic review of approaches, challenges, and resources
Abstract Speech synthesis has made significant strides thanks to the transition from machine learning to deep learning models. Contemporary text-to-speech (TTS) models possess the capability to generate speech of exceptionally high quality, closely mimicking human speech. Nevertheless, given the wid...
Guardado en:
| Autores principales: | , , |
|---|---|
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
SpringerOpen
2024-02-01
|
| Colección: | EURASIP Journal on Audio, Speech, and Music Processing |
| Materias: | |
| Acceso en línea: | https://doi.org/10.1186/s13636-024-00329-7 |
| Etiquetas: |
Sin Etiquetas, Sea el primero en etiquetar este registro!
|