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vdavidr/textToAudioTTS-voxcpm2-audiobook-champion
textToAudioTTS-voxcpm2-audiobook-champion is a text-to-speech model from vdavidr. Use it when you need text read aloud. The card lists the license as apache-2.0.
This repository contains the current textToAudioTTS audiobook champion artifacts from the 2026-04-24 evaluation run.
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Updated Apr 25, 2026
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From the Hugging Face model README
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.
openbmb/VoxCPM2224.48s48000 Hz1.00000.01370.0137949 / 949samples/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.Default acceptance criteria:
15s0.900.050.08The current winner passed. The Inworld TTS training experiment from the same run was rejected because the final generated samples were short and ASR-incoherent.