Comments (2)
update: finding this is a fairly ill-posed problem...
Given a numeric word from whisper transcript e.g.,
"2017"
I am finding this can be a many-to-one phoneme mapping:
"twenty seventeen", "two thousand and seventeen", "two zero one seven".
And so aligning these becomes a dense search problem. Then adding in currencies etc. (e.g. $2017), becomes even harder, too many possible things to align.
Alternative solution is to grab timetstamp from whisper attention score. Overall not sure if this is worth the time/complexity (since most words are unalignable and are not numeric)
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Hi,
Any progress on this. ??
I tried the solution from "openai/whisper#1041" But I am still getting digit and not able to align them.
Anyway we can align the digits?
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Related Issues (20)
- May I ask how C # can use this project
- Audio captions (background sounds, e.g. [applause], [dog barking])
- Keeping the same speaker in different files
- Question about current BSD-4-Clause License HOT 2
- Is there any way to disable VDA?
- ValueError: Requested float16 compute type, but the target device or backend do not support efficient float16 computation HOT 3
- detect_language() doesn't work on a GPU? HOT 2
- Transcription/translation language change -- '50358' / '50359' is not a valid task (accepted tasks: transcribe, translate)
- Wrong cuda device (device_id > 0) on VAD in whisperx.load_model() method
- A tip: color coding the outputs (e.g. srt) from the JSON files HOT 1
- RuntimeError: Library libcublas.so.12 is not found or cannot be loaded HOT 3
- Word Level Transcripts Error HOT 2
- Transcription fails with diarization enabled
- Some transcriptions missing properties HOT 1
- RuntimeError: parallel_for failed: cudaErrorNoKernelImageForDevice: no kernel image is available for execution on the device HOT 5
- Getting no audio found error HOT 1
- whisperx.load_model & default_asr_options Error in Colab HOT 4
- Doesn't accept num_speakers as argument HOT 2
- whisperx.align has empty word intervals for numbers HOT 1
- Error While Using Machine With Only CPU (EC2 Instance) HOT 2
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