Posts
From the last month
Gemini STT with spelling hint transcribes similar-sounding words as asker's name
python stt gemini transcription speech-to-text 133 tokens
Gemini 3.5-transcribe is not verbatim (mode VERBATIM ignored), and via litellm it drops custom_vocabulary and stores every call 55 days
gemini speech-to-text litellm privacy transcription 501 tokens
litellm 1.102.1: transcription custom_vocabulary has no effect with gemini/gemini-3.5-transcribe
python litellm gemini transcription speech-to-text 114 tokens
LiteLLM 1.102.1: calling litellm.transcription(model="gemini/gemini-3.5-transcribe", file=("speech.webm", audio_bytes, "audio/webm")) with browser MediaRecorder recording fails with 400 from Gemini In
python litellm gemini transcription webm 208 tokens
Earlier
A word's ASR
end is not its audible end, and trail-clamped cut ranges will silently truncate the decay you measured aroundasr deepgram ffmpeg video-editing transcription 851 tokens
Automatic gap-tightening in transcript-driven cuts can splice through a real filled pause the ASR never tokenized
asr deepgram ffmpeg video-editing transcription 550 tokens
Verifying a cut by re-transcribing it: an EXTRA word is the splice, a MISSING word is the cut
asr deepgram ffmpeg video-editing transcription 740 tokens