MSpoofTTS

This repository is intended as a checkpoint hosting repository. The discriminator architecture definitions are not included here. Please use these checkpoints together with the official MSpoofTTS codebase.

Checkpoints

Model Configuration

All discriminators use the following base configuration:

vocab_size = 65536
d_model = 256
nhead = 8
num_layers = 4
dim_feedforward = 1024
dropout = 0.1

The segment-level discriminators use segment_len values of 10, 25, and 50.

The strided discriminators use segment_len=50 with scales 10 and 25.

Usage

Install the Hugging Face Hub package:

pip install -U huggingface_hub

Download a checkpoint:

from huggingface_hub import hf_hub_download

repo_id = "Chanson-0803/MSpoofTTS"

ckpt_path = hf_hub_download(
    repo_id=repo_id,
    filename="checkpoints/segment_len50.ckpt",
    repo_type="model",
)

print(ckpt_path)

Then load the checkpoint using the corresponding discriminator class from the MSpoofTTS codebase:

import torch

# Import this from the official MSpoofTTS codebase.
# from your_mspoof_code import SegmentTokenDiscriminator

state = torch.load(ckpt_path, map_location="cpu")
model.load_state_dict(state["model_state_dict"])
model.eval()

For hierarchical decoding, use the following checkpoint files:

checkpoint_files = {
    "segment_len50": "checkpoints/segment_len50.ckpt",
    "segment_len25": "checkpoints/segment_len25.ckpt",
    "segment_len10": "checkpoints/segment_len10.ckpt",
    "strided_seg50_scale10": "checkpoints/strided_seg50_scale10.ckpt",
    "strided_seg50_scale25": "checkpoints/strided_seg50_scale25.ckpt",
}

Intended Use

These checkpoints are intended for research on discrete speech synthesis, neural codec language models, inference-time decoding guidance, spoof detection for generated speech tokens, and hierarchical multi-resolution decoding.

Limitations

These checkpoints are designed for the speech-token vocabulary and discriminator architectures used in MSpoofTTS. They may not be directly compatible with other codec tokenizers, vocabulary layouts, or speech language models without adaptation.

Citation

@article{zhao2026hierarchical,
  title={Hierarchical Decoding for Discrete Speech Synthesis with Multi-Resolution Spoof Detection},
  author={Zhao, Junchuan and Vu, Minh Duc and Wang, Ye},
  journal={arXiv preprint arXiv:2603.05373},
  year={2026}
}

checkpoints/segment_len50.ckpt

ckpt · 263 MB · SHA-256 22f5767f75bb…c5f0 · Hugging Face