Integrating Human Linguistic Insights into AI: Theory-Driven Representation for Multilingual Text-to-Speech

arXiv:2204.07228 · cs.CL, cs.SD, eess.AS · Submitted 2022-04-14 · Read on arXiv

cs.CL, cs.SD, eess.AS

Submitted: 2022-04-14

Updated: 2026-08-05

Project page: https://congzhang365.github.io/feature_tts

Terminology

• Accuracy — 8× in this paper · explained in 1 episode
• Low-Resource Languages — 7× in this paper · explained in 4 episodes
• Alignment — 6× in this paper · explained in 1 episode
• Cross-lingual Transfer — 4× in this paper · explained in 2 episodes
• Adaptation — 3× in this paper · explained in 1 episode
• Core — 3× in this paper · explained in 2 episodes
• Interpretability — 3× in this paper · explained in 15 episodes
• Actor — 2× in this paper · explained in 3 episodes
• Phone Error Rate — 2× in this paper
• Embeddings — 1× in this paper · explained in 2 episodes
• Featurally Underspecified Lexicon — 1× in this paper
• Pairwise Comparisons — 1× in this paper · explained in 2 episodes
• Sparsity — 1× in this paper · explained in 4 episodes

Sources

• Step-Audio: Unified Understanding and Generation in Intelligent Speech Interaction
• FastSpeech: Fast, Robust and Controllable Text to Speech
• Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers

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