faster-whisper 1.1.0

New Features

• New batched inference that is 4x faster and accurate, Refer to README on usage instructions.
• Support for the new large-v3-turbo model.
• VAD filter is now 3x faster on CPU.
• Feature Extraction is now 3x faster.
• Added log_progress to WhisperModel.transcribe to print transcription progress.
• Added multilingual option to transcription to allow transcribing multilingual audio. Note that Large models already have codeswitching capabilities, so this is mostly beneficial to medium model or smaller.
• WhisperModel.detect_language now has the option to use VAD filter and improved language detection using language_detection_segments and language_detection_threshold.

Bug Fixes

• Use correct features padding for encoder input when chunk_length <30s
• Use correct seek value in output

Other Changes

• replace NamedTuple with dataclass in Word, Segment, TranscriptionOptions, TranscriptionInfo, and VadOptions, this allows conversion to json without nesting. Note that _asdict() method is still available in Word and Segment classes for backward compatibility but will be removed in the next release, you can use dataclasses.asdict() instead.
• Added new tests for development
• Updated benchmarks in the Readme
• use jiwer instead of evaluate in benchmarks
• Filter out non_speech_tokens in suppressed tokens by @jordimas in #898

New Contributors

• @Jiltseb made their first contribution in #856
• @heimoshuiyu made their first contribution in #1092

Full Changelog: v1.0.3...v1.1.0