A new dataset, iterative coarse-to-fine localization framework, and segment-level IoU F1 metric tackle the open problem of detecting multiple unknown word-level inpainted regions in speech.
Lemas: Large a 150k-hour large-scale extensible multilingual audio suite with generative speech models
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WordVoice achieves explicit, decoupled word-level control over five acoustic dimensions in LLM-based TTS via a bound-token acoustic planning mechanism and fine-grained style modulation, supported by a new 4.7k-hour bilingual dataset.
OmniVoice introduces a diffusion language model-style non-autoregressive TTS system that directly maps text to multi-codebook acoustic tokens, scaling zero-shot synthesis to over 600 languages with SOTA results on multilingual benchmarks using 581k hours of open data.
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Toward Fine-Grained Speech Inpainting Forensics:A Dataset, Method, and Metric for Multi-Region Tampering Localization
A new dataset, iterative coarse-to-fine localization framework, and segment-level IoU F1 metric tackle the open problem of detecting multiple unknown word-level inpainted regions in speech.
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WordVoice: Explicit and Decoupled Multi-Dimensional Word-Level Control for LLM-Based TTS
WordVoice achieves explicit, decoupled word-level control over five acoustic dimensions in LLM-based TTS via a bound-token acoustic planning mechanism and fine-grained style modulation, supported by a new 4.7k-hour bilingual dataset.
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OmniVoice: Towards Omnilingual Zero-Shot Text-to-Speech with Diffusion Language Models
OmniVoice introduces a diffusion language model-style non-autoregressive TTS system that directly maps text to multi-codebook acoustic tokens, scaling zero-shot synthesis to over 600 languages with SOTA results on multilingual benchmarks using 581k hours of open data.