A reliability-and-naturalness pass over the prompt-driven Qwen3-TTS-12Hz-1.7B-VoiceDesign backbone. v3 ships two changes that matter at inference time:
1. Full-sentence generation. Earlier checkpoints would sometimes render only the first clause of a longer input — the rest of the sentence would be cut off, dropped, or replaced with silence. v3 generates the entire input from start to end, including longer sentences with intermediate clauses, em-dashes, and parenthetical asides.
2. More natural delivery. Across the same prompt set, v3 produces audibly smoother prosody — fewer flat reads on neutral prompts, less "narrated" surface on short utterances, and more believable breath placement on persona reads.
Everything else stays the same: free-form English instruct, 24 kHz mono output, single-call inference, no reference audio.
Use it
pip install qwen-tts transformers torch soundfile
python
1from qwen_tts import Qwen3TTSModel
2import soundfile as sf
34m = Qwen3TTSModel.from_pretrained("magma90909/vocence_miner_v3")56wavs, sr = m.generate_voice_design(7 text="When I got home, the lights were on, the back door was wide open, and somebody had left tea brewing on the kitchen counter.",8 instruct="A nervous middle-aged man recounting the moment, slightly hushed, slightly fast.",9 language="english",10)11sf.write("out.wav", wavs[0], sr)
The example deliberately uses a long, multi-clause sentence — the kind that earlier checkpoints would clip mid-read.
What instruct understands
Axis
Working values
Gender
male, female
Pitch
deep, low, medium, high, thin
Pace
slow, halting, moderate, brisk, fast
Affect
neutral, happy, sad, angry, fearful, urgent, calm, projected, whispered, sarcastic
Lead with gender on emotion-heavy prompts to avoid timbre drift.
Caveats
English only — other languages were not part of this checkpoint's adaptation set.
Strongly expressive reads (drawn-out sad reads, projected announcer reads) may run slightly less precise on automatic transcription than the base. The trade-off was made deliberately for delivery character.
CC BY-NC-SA 4.0 — research and non-commercial use only.
