donglao-tts — angular horizontal singing crocodile logo

donglao-tts

Reference-voice text-to-speech with a simple Python API.

Research/pre-1.0 release. APIs may change between versions. Use reference voices only with the speaker's permission.

Recommended Python API

uv add donglao-tts

# Or with pip
python -m pip install donglao-tts

from donglao_tts import DongLaoTTS

tts = DongLaoTTS.from_pretrained("DongLao/DongLao-TTS")

waveform = tts.generate(
    "Xin chào mọi người, đây là Đông Lào TTS.",
    reference_audio="reference.wav",
    reference_text="Exact transcript of the speech in reference.wav.",
    output_path="output.wav",
)

print(tts.revision)
print(tts.sample_rate)
print(tuple(waveform.shape))

The first call downloads the model, tokenizer, and bundled MOSS codec. CUDA is selected when available; otherwise the model runs on CPU. Reuse the loaded tts object for subsequent calls.

For reproducible use, pin a tested model commit:

tts = DongLaoTTS.from_pretrained(
    "DongLao/DongLao-TTS",
    revision="6ba3003ccb8d938c2a725a4117084492909c9419",
    device="cuda",
)

Generation controls are available when needed:

waveform = tts.generate(
    "Text to synthesize.",
    reference_audio="reference.wav",
    reference_text="Exact reference transcript.",
    output_path="output.wav",  # optional
    max_frames=200,
    temperature=1.0,
    top_k=0,
)

The returned waveform is a CPU PyTorch tensor with shape [channels, samples].

Runtime requirements

  • Python >=3.10,<3.11
  • Linux x86-64
  • PyTorch and TorchAudio >=2.8.0,<3
  • CUDA-capable GPU recommended; CPU inference is supported

Reference audio

Use a clean, consented recording containing one speaker. reference_text must match the spoken content exactly. Avoid music, overlapping speakers, clipping, long silence, and heavy reverb.

Verify the installation

donglao-smoke-test-hub \
  --repo-id DongLao/DongLao-TTS \
  --device cpu

For an end-to-end test, also pass --ref-audio, --ref-text, --target-text, and --output.

Responsible use

Obtain consent before using a voice, disclose synthetic audio when appropriate, and protect reference recordings and transcripts. Do not use the package for impersonation, fraud, harassment, or bypassing voice authentication.

Links

Project links

Data verified by PyPI on Jul 31, 2026
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

Key dates

PyPI data
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  • Released:
Newer release available (0.1.7)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for donglao from gravatar.com donglao

Credits

Author: donglao-tts maintainers

GitHub Statistics

Data verified by PyPI on Jul 31, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License expression

Apache-2.0
View SPDX License List

Requires

Python <3.11, >=3.10

Provides Extra

export gguf openvino

Tags

pytorch rvq speech-synthesis tts vietnamese

Classifiers

Report project as malware

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