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Uploaded/recorded voice samples were rejected outright whenever the peak
exceeded 0.99 ("Audio is clipping (reduce input gain)"). That wasn't
actionable: a recording in the app has no pre-gain control, and an
already-captured file can't be re-taken by the user. The Settings
"Normalize audio" toggle only affects generated TTS output, so users who
enabled it expecting it to help with sample uploads were still blocked.
Replace the hard reject with a small, always-on preprocess step that
runs right after load:
- DC-offset removal
- Conservative edge-silence trim (top_db=30) with 100 ms padding kept
- Peak cap at 0.95 if the input peak exceeds that
Duration and RMS checks now run on the preprocessed waveform, so
samples that were previously rejected for being "hot" are accepted and
stored with safe headroom. True in-waveform clipping artifacts still
can't be repaired — peak scaling only prevents downstream re-clipping
during multi-sample combination and TTS inference.
Adds a unit-test file (previously none existed for audio.py).
Fixes #456.
Co-Authored-By: Claude Opus 4.7 (1M context) <[email protected]>
Backend Tests
Manual test scripts for debugging and validating backend functionality.
Test Files
test_generation_progress.py
Tests TTS generation with SSE progress monitoring to identify UX issues where users see download progress even when the model is already cached.
Usage:
cd backend
python tests/test_generation_progress.py
Prerequisites:
- Server must be running (
python main.py) - At least one voice profile must exist
test_real_download.py
Tests real model download with SSE progress monitoring.
Usage:
cd backend
# Delete cache first to force fresh download
rm -rf ~/.cache/huggingface/hub/models--openai--whisper-base
python tests/test_real_download.py
Prerequisites:
- Server must be running (
python main.py)
test_progress.py
Unit tests for ProgressManager and HFProgressTracker functionality.
Usage:
cd backend
python tests/test_progress.py
test_check_progress_state.py
Debugging script to inspect the internal state of ProgressManager and TaskManager.
Usage:
cd backend
python tests/test_check_progress_state.py
Notes
These are manual test scripts, not automated unit tests. They're designed for:
- Debugging progress tracking issues
- Validating SSE event streams
- Monitoring real-time download behavior
- Inspecting internal state during development