k2-fsa/TTS_eval_models
Text-to-Speech • Updated • 4
Datasets:
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TTS evaluation datasets
This repository contains three testsets for zero-shot TTS models:
- dialog_testset: Chinese and English testsets for spoken dialogue generation models, introduced in paper ZipVoice-Dialog.
- librispeech_pc_testset: English testset for zero-shot TTS models, introduced in paper F5-TTS.
- seedtts_testset: Chinese and English testsets for zero-shot TTS models, introduced in paper Seed-TTS.
- minimax_multilingual_24: 24-language testset for zero-shot TTS models, introduced in paper MiniMax-Speech.
- fleurs_multilingual_102: 102-language testset for zero-shot TTS models, introduced in paper OmniVoice.
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Models trained or fine-tuned on k2-fsa/TTS_eval_datasets
Papers for k2-fsa/TTS_eval_datasets
OmniVoice: Towards Omnilingual Zero-Shot Text-to-Speech with Diffusion Language Models
Paper • 2604.00688 • Published • 17
ZipVoice-Dialog: Non-Autoregressive Spoken Dialogue Generation with Flow Matching
Paper • 2507.09318 • Published • 2
MiniMax-Speech: Intrinsic Zero-Shot Text-to-Speech with a Learnable Speaker Encoder
Paper • 2505.07916 • Published • 138
F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching
Paper • 2410.06885 • Published • 48
Seed-TTS: A Family of High-Quality Versatile Speech Generation Models
Paper • 2406.02430 • Published • 39