ScottishFold007/TTSAudioNormalizer
TTSAudioNormalizer is a specialized tool for TTS data production, featuring descriptive statistical analysis of audio loudness and loudness normalization operations.
Implements multi-stage audio preprocessing with DC offset removal, silence trimming, noise reduction, and dynamic range compression—each with configurable parameters. Provides per-speaker statistical analysis (mean norm, RMS amplitude, max amplitude) with algorithm-generated target loudness recommendations across three profiles (conservative, balanced, safe). Targets TTS model training pipelines, processing nested speaker directories in parallel with optional visualization and validation reporting.
111 stars. No commits in the last 6 months.
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111
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15
Language
Python
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Last pushed
Dec 20, 2024
Commits (30d)
0
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