VoxCPM2 Audiobook Champion Artifacts
This repository contains the current textToAudioTTS audiobook champion artifacts from the 2026-04-24 evaluation run.
Important: this is not a re-upload of the openbmb/VoxCPM2 base weights. The generated samples and quality-gate scripts here document the working inference recipe and measured output quality. Use openbmb/VoxCPM2 as the base model.
Current Winner
- Model path tested:
openbmb/VoxCPM2 - Mode: plain TTS, no voice clone
- Test input: long-form English audiobook passage
- Duration:
224.48s - Sample rate:
48000 Hz - Coverage:
1.0000 - WER:
0.0137 - Prefix WER:
0.0137 - Hypothesis/reference words:
949 / 949
Included Files
samples/CHAMPION_voxcpm2_original_long_audiobook_test.wav: full winning sample.samples/CHAMPION_voxcpm2_original_long_audiobook_test_loudnorm.wav: loudness-normalized full sample.samples/CHAMPION_voxcpm2_original_long_audiobook_test_loudnorm_first60s.wav: quick listening cut.quality_gate/asr_quality_audit_longform_top_candidates_2026-04-24.json: Whisper ASR audit for top candidates.quality_gate/longform_top_candidates_quality_gate_2026-04-24.json: deterministic pass/fail gate and selected winner.scripts/audit_tts_asr_quality.py: local ASR audit utility.scripts/select_tts_champion.py: quality gate and champion selector.
Quality Gate
Default acceptance criteria:
- Minimum duration:
15s - Minimum coverage:
0.90 - Maximum WER:
0.05 - Maximum prefix WER:
0.08
The current winner passed. The Inworld TTS training experiment from the same run was rejected because the final generated samples were short and ASR-incoherent.
Model tree for vdavidr/textToAudioTTS-voxcpm2-audiobook-champion
Base model
openbmb/VoxCPM2