Comments (2)
Hi,
From line 361--366
in pyannote-audio/pyannote/audio/applications/change_detection.py
preprocessors = {'wav': FileFinder(db_yml)}
if '<database.task.protocol>' in arguments:
protocol_name = arguments['<database.task.protocol>']
protocol = get_protocol(protocol_name, progress=True,
preprocessors=preprocessors)
will add the wav file path to current_file['wav']
. Could you please print the current_file
to verify if the wav path has been passed successfully.
from pyannote-audio.
I assume the error was connected to the changes in a recent commit and the different versions I had installed. I installed the newest development versions of both pyannote-audio and pyannote-core, and now it works, but I had to change the first line you refer to into 'wav' from current 'audio'. Before that it didn't work but gave the error I copied above, now it only gives a warning "wav" key is deprecated in favor of "audio"
but seems to work fine. Thanks for help!
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Related Issues (20)
- How does this library detect someone speaking?
- Optimize hyperparameters in pyannote 3.1.1
- Running `speaker-diarization-3.1` with local ` wespeaker-voxceleb-resnet34-LM` needs special naming to circumvent ONNX/protobuf loading errors HOT 5
- ImportError: 'speechbrain' must be installed to use 'speechbrain/spkrec-ecapa-voxceleb' embeddings. Visit https://speechbrain.github.io for installation instructions. HOT 4
- Training PyanNet/SSeRiouSS on multiple GPUs not working HOT 4
- AttributeError: 'Annotation' object has no attribute 'for_json' HOT 3
- OSError: automatic-speech-recognition is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' HOT 1
- RuntimeError with Mixed CUDA Devices for Multi-GPU Training HOT 1
- pyannote uninstalling torch cuda and install torch cpu HOT 8
- 'speechbrain' must be installed to use 'speechbrain/spkrec-ecapa-voxceleb' embeddings. HOT 3
- Error occurs following training tutorial HOT 1
- Speaker Diarizations get_segmentations() raises for several input type variants
- Speaker Diarization pipeline.get_segmentations produces integer ascending start/ends instead of something useful HOT 1
- Embeddings takes 3x the length of the audio length HOT 7
- numpy.ndarray audio input doesn't work? HOT 3
- Audio input as tensor or BytesIO is unexpectedly slow HOT 1
- Cannot instantiate parameters on finetuned model HOT 5
- Can not reproduce "adapting_pretrained_pipeline.ipynb" on local machine HOT 4
- What is the purpose of the Resegmentation and AdaptiveVoiceActivityDetection Pipeline? HOT 1
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