Changes

• The input prompt is no longer included in the result of Whisper.generate as it is usually not useful in a transcription loop
• The default beam size in Whisper.generate is updated from 1 to 5 to match the default value in openai/whisper
• Generation options min_length and no_repeat_ngram_size now penalize the logits instead of the log probs which may change some scores
• Raise a deprecation warning when reading the TranslationResult object as a list of dictionaries

New features

• Allow configuring the C++ logs from Python with the function ctranslate2.set_log_level
• Implement the timestamp decoding rules when the Whisper prompt does not include the token <|notimestamps|>
• Add option return_no_speech_prob to the method Whisper.generate for the result to include the probability of the no speech token

Fixes and improvements

• Improve performance of the Whisper model when generating with a context
• Fix timestamp tokens in the Whisper vocabulary to use the correct format (<|X.XX|>)
• Fix AVX and NEON log functions to return -inf on log(0) instead of NaN
• When info logs are enabled, log the system configuration only when the first model is loaded and not immediately when the library is loaded
• Define a LogitsProcessor abstract class to apply arbitrary updates to the logits during decoding
• Update oneDNN to 2.7.2