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Found 7 papers, 0 papers with code
Del Visual al Auditivo: Sonorización de Escenas Guiada por Imagen
We present a processing flow that, starting from images extracted from videos, is able to sound them.
Multilingual context-based pronunciation learning for Text-to-Speech
Phonetic information and linguistic knowledge are an essential component of a Text-to-speech (TTS) front-end.
Improving grapheme-to-phoneme conversion by learning pronunciations from speech recordings
The G2P model is used to train a multilingual phone recognition system, which then decodes speech recordings with a phonetic representation.
Low-data? No problem: low-resource, language-agnostic conversational text-to-speech via F0-conditioned data augmentation
The availability of data in expressive styles across languages is limited, and recording sessions are costly and time consuming.
Voice Filter: Few-shot text-to-speech speaker adaptation using voice conversion as a post-processing module
It uses voice conversion (VC) as a post-processing module appended to a pre-existing high-quality TTS system and marks a conceptual shift in the existing TTS paradigm, framing the few-shot TTS problem as a VC task.
Cross-speaker style transfer for text-to-speech using data augmentation
The proposed approach relies on voice conversion to first generate high-quality data from the set of supporting expressive speakers.
Low-resource expressive text-to-speech using data augmentation
While recent neural text-to-speech (TTS) systems perform remarkably well, they typically require a substantial amount of recordings from the target speaker reading in the desired speaking style.
