Add support for distil-large-v3 (https://github.com/SYSTRAN/faster-whisper/pull/755) The latest Distil-Whisper model, distil-large-v3, is intrinsically designed to work with the OpenAI sequential algorithm.

Benchmarks (https://github.com/SYSTRAN/faster-whisper/pull/773) Introduces functionality to measure benchmarking for memory, Word Error Rate (WER), and speed in Faster-whisper.

Support initializing more whisper model args (https://github.com/SYSTRAN/faster-whisper/pull/807)

Small bug fix:

• code breaks if audio is empty (https://github.com/SYSTRAN/faster-whisper/pull/768)
• Foolproof: Disable VAD if clip_timestamps is in use (https://github.com/SYSTRAN/faster-whisper/pull/769)
• make faster_whisper.assets as a valid python package to distribute (https://github.com/SYSTRAN/faster-whisper/pull/774)
• Loosen tokenizers version constraint (https://github.com/SYSTRAN/faster-whisper/pull/804)
• CUDA version and updated installation instructions (https://github.com/SYSTRAN/faster-whisper/pull/785)

New feature from original openai Whisper project:

• Feature/add hotwords (https://github.com/SYSTRAN/faster-whisper/pull/731)
• Improve language detection (https://github.com/SYSTRAN/faster-whisper/pull/732)