word_level_timings=word_timestamps, openai_access_token=openai_access_token, ) file_transcription_options = FileTranscriptionOptions( 3 changes: 2 additions & 1 deletion 3 docs/docs/cli.md Original file line numberDiff line numberDiff line change @@ -59,7 +59,8 @@ Options: (Urdu), uz...
for i, this_word in enumerate(word_timings): start = self.format_timestamp(this_word["start"]) end = self.format_timestamp(this_word["end"]) if last != start: yield last, start, segment_text yield start, end, "".join( [f"{word}" if j == i else word for j, word in enum...
Run whisper on example segment (using default params, whisper small) add --highlight_words True to visualise word timings in the .srt file.whisperx examples/sample01.wav Result using WhisperX with forced alignment to wav2vec2.0 large:
Run whisper on example segment (using default params, whisper small) add --highlight_words True to visualise word timings in the .srt file. whisperx examples/sample01.wav Result using WhisperX with forced alignment to wav2vec2.0 large: sample01.mp4 Compare this to original whisper out the...
Run whisper on example segment (using default params, whisper small) add --highlight_words True to visualise word timings in the .srt file. whisperx examples/sample01.wav Result using WhisperX with forced alignment to wav2vec2.0 large: sample01.mp4 Compare this to original whisper out the...
Run whisper on example segment (using default params, whisper small) add --highlight_words True to visualise word timings in the .srt file. whisperx examples/sample01.wav Result using WhisperX with forced alignment to wav2vec2.0 large: sample01.mp4 Compare this to original whisper out the...
Run whisper on example segment (using default params, whisper small) add --highlight_words True to visualise word timings in the .srt file. whisperx examples/sample01.wav Result using WhisperX with forced alignment to wav2vec2.0 large: sample01.mp4 Compare this to original whisper out the...
Run whisper on example segment (using default params, whisper small) add --highlight_words True to visualise word timings in the .srt file.whisperx examples/sample01.wav Result using WhisperX with forced alignment to wav2vec2.0 large:
Run whisper on example segment (using default params, whisper small) add --highlight_words True to visualise word timings in the .srt file. whisperx examples/sample01.wav Result using WhisperX with forced alignment to wav2vec2.0 large: sample01.mp4 Compare this to original whisper out the...
Run whisper on example segment (using default params, whisper small) add--highlight_words Trueto visualise word timings in the .srt file. Result usingWhisperXwith forced alignment to wav2vec2.0 large: sample01.mp4 Compare this to original whisper out the box, where many transcriptions are out...