Comments (2)
DavidDoukhan
commented on May 23, 2024
Hi,
inaSpeechSegmenter is provided with pre-trained models.
You can have a look to the following papers in order to train your own models:
https://hal.archives-ouvertes.fr/hal-01514228/document
However, using alternative models may require to set different parameters to viterbi postprocessing.
Regards,
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Cloud299
commented on May 23, 2024
Great model, worked great for my work on speech-music segmentation. If I have two arbitrary classes, say dog and cat sounds, is there a quick way to use the API to train a model using this inaSpeechSegmenter (using my own data) ?
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Related Issues (20)
- Matplotlib TypeError: use() got an unexpected keyword argument 'warn' HOT 1
- unit test docker image
- sementation fault? HOT 8
- Checking sample width, is it necessary? HOT 6
- Not able to install ffmpeg HOT 3
- tensorflow.compat.v2 has no attribute '__internal__' HOT 2
- minimal pause length
- Provide draft code for training a model HOT 2
- does not work with TF2.5 HOT 1
- Noise dataset HOT 1
- Score for gender prediction HOT 1
- Getting "terminated: Application failed to start: not available" for longer audio files HOT 7
- nan values in the probability HOT 1
- [Train model from scratch on new language] HOT 2
- excessive memory usage and crashes with long duration files HOT 5
- Docker container: NVIDIA key change, use with Jupyter HOT 1
- use ffmpeg pip package instead of os call ?
- How to run on GPU HOT 1
- problem with ffmpg HOT 2
- Runtime warning: invalid value encountered in subtract
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