Whisper Advanced Parameters

Advanced Parameters

Parameter	Description
beam_size	Parameter used in the beam search algorithm. TLDR; Higher beam size, higher quality but slower transcription. Smaller beam size, lower quality but faster transcription.
log_prob_threshold	Parameter related to how whisper handles the "silent" part of the audio. If the average log probability over sampled tokens is below this value, treat as failed. TLDR; Lower this value if you want Whisper to be more "sensitive" to small sounds. Adjust together with no_speech_threshold and see what happens.
no_speech_threshold	Parameter related to how Whisper handles the "silent" part of the audio. If the no_speech probability is higher than this value AND the average log probability over sampled tokens is below log_prob_threshold, consider the segment as silent. TLDR; Lower this value if you want Whisper to be more "sensitive" to small sounds. Adjust together with log_prob_threshold and see what happens.
compute_type	Compute type such as float16 or float32. default to float16 if CUDA is enabled, else float32.
condition_on_previous_text	If True, the previous output of the model is provided as a prompt for the next window; disabling may make the text inconsistent across windows, but the model becomes less prone to getting stuck in a failure loop, such as repetition looping or timestamps going out of sync. TLDR; If failure loop (repetitive hallucination) occurs, consider setting this to False.