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Found 5 papers, 0 papers with code
Modelling low-resource accents without accent-specific TTS frontend
Prior work on modelling accents assumes a phonetic transcription is available for the target accent, which might not be the case for low-resource, regional accents.
Remap, warp and attend: Non-parallel many-to-many accent conversion with Normalizing Flows
Regional accents of the same language affect not only how words are pronounced (i. e., phonetic content), but also impact prosodic aspects of speech such as speaking rate and intonation.
Unify and Conquer: How Phonetic Feature Representation Affects Polyglot Text-To-Speech (TTS)
In this paper, we conduct a comprehensive study comparing multilingual NTTS systems models trained with both representations.
Mix and Match: An Empirical Study on Training Corpus Composition for Polyglot Text-To-Speech (TTS)
Training multilingual Neural Text-To-Speech (NTTS) models using only monolingual corpora has emerged as a popular way for building voice cloning based Polyglot NTTS systems.
Singing Synthesis: with a little help from my attention
We present UTACO, a singing synthesis model based on an attention-based sequence-to-sequence mechanism and a vocoder based on dilated causal convolutions.
