Synthetic Speech, Real Signal: Paralinguistic Preservation and Cross-Lingual Augmentation via Voice Cloning

arXiv:2607.22304 · cs.LG, cs.SD · Submitted 2026-07-24 · Read on arXiv

cs.LG, cs.SD

Submitted: 2026-07-24

Updated: 2026-08-31

Terminology

• AUC — 20× in this paper · explained in 2 episodes
• Benchmark — 9× in this paper · explained in 2 episodes
• Data Augmentation — 7× in this paper · explained in 7 episodes
• Cross-lingual Transfer — 4× in this paper · explained in 2 episodes
• Embeddings — 4× in this paper · explained in 2 episodes
• Fidelity — 2× in this paper · explained in 2 episodes
• Generative AI — 2× in this paper · explained in 2 episodes
• Low-Resource Languages — 2× in this paper · explained in 4 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Automatic Speech Recognition — 1× in this paper
• Automatic Speech Recognition (ASR) — 1× in this paper · explained in 2 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Hybrid Architectures — 1× in this paper · explained in 3 episodes
• Mean Opinion Score — 1× in this paper
• Word Error Rate — 1× in this paper

Sources

• Qwen3 Technical Report
• A Preliminary Study on Augmenting Speech Emotion Recognition using a Diffusion Model

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