Sebastjan Artič 60765ad84c Anti-hallucination: filename hint to LLM + beam search + silence threshold ... When Whisper hallucinates (generates fake lyrics not matching the audio), LLM can now use the original filename as a hint to recognize the song and override the false transcript with the actual lyrics. Pipeline: 1. Pass filename (e.g. 'Ben Zucker - Bonnie und Clyde') as hint 2. Whisper transcribes (may hallucinate) 3. Claude/Gemini reads filename + transcript: - Recognizes song from filename hint - Compares Whisper output to known lyrics - Replaces hallucinated text with real lyrics (preserves timestamps) - If can't fix, removes segment (better silent than wrong) Also added Whisper anti-hallucination params: - beam_size=5 (more careful decoding vs greedy) - hallucination_silence_threshold=2.0 (skip text in long silences)		2026-04-29 10:48:55 +00:00
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analyze.py	Anti-hallucination: filename hint to LLM + beam search + silence threshold	2026-04-29 10:48:55 +00:00
clip.py	Upgrade default Whisper model: small/medium → large-v3 for much better Slovenian/Slavic transcription accuracy	2026-04-29 08:20:18 +00:00
find_chorus.py	Find chorus: weight repetitive short phrases (like 'Ohne dich x5') as strong chorus signal	2026-04-28 16:57:45 +00:00
reframe.py	Major: smart selection pipeline (analyze.py) + audio fade + multi-lang auto-detect	2026-04-29 06:21:35 +00:00
subtitle.py	Upgrade default Whisper model: small/medium → large-v3 for much better Slovenian/Slavic transcription accuracy	2026-04-29 08:20:18 +00:00
yt_download.py	Add cookies support to yt_download.py for YouTube bot detection bypass	2026-04-28 15:47:59 +00:00