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.

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