HierSpeech: Bridging the Gap between Text and Speech by Hierarchical Variational Inference using Self-supervised Representations for Speech Synthesis

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StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models (2023, background): “Recent advancements have proven the effectiveness of large-scale self-supervised speech language models (SLMs) in enhancing text-tospeech (TTS) quality [34, 35, 36, 37] and speaker adaptation [8, 38, 29, 39].”
DiffProsody: Diffusion-Based Latent Prosody Generation for Expressive Speech Synthesis With Prosody Conditional Adversarial Training (2023, unknown): “In contrasttothesemodelsthatuseanexternalaligner,[31],[37], [38],[39]areparallelTTSmodelsthatuseaninternalalignerto modelduration.”
Mega-TTS 2: Zero-Shot Text-to-Speech with Arbitrary Length Speech Prompts (2023, background): “In recent years, there has been remarkable progress in the development of text-to-speech (TTS) technology (Shen et al., 2018; Li et al., 2019; Kim et al., 2020; Ren et al., 2019; 2020; Kim et al., 2021; 2022a; Lee et al., 2022).”