Comments (4)
Hi @arthavmane ,
Did you find a way to get the d-vectors as I am working on a similar project?
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I haven't tried UIS-RNN yet and only found this library yesterday but I can extract the embeds with _, EMBEDS, wav_splits = encoder.embed_utterance(wav, return_partials=True)
from resemblyzer.
@davodesign84 actually this command doesnt output a single 256 element array, the EMBEDS variable will be (#,256) but it should be (1,256). I think its first splitting the audio into segments and then finding embeddings but it should use the entire audio. Any clue how to do that?
from resemblyzer.
Actually I found out @davodesign84 and @zhs105 you can just call embed = encoder.embed_utterance(wav)
and itll give you a (1,256) array which is your embedding for the specific wav file.
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Related Issues (20)
- End-to-end trainable model HERE
- Async and parallel processing
- After diarization, The timestamps I got are irrelevants from original file HOT 3
- The Ability of Speaker Diarization with More Than 2 Speakers HOT 3
- Speaker Verification HOT 2
- Error while trying to plot speaker similarity in Resemblyzer
- Diarization Graph Issue HOT 1
- About pre-trained model HOT 2
- How to get time stamps for every speaker change?
- MATPLOTLIB FIGURES NOT DISPLAYING..How to solve this please help.. HOT 2
- New release plans to include latest changes? HOT 5
- Error while using Resemblyzer HOT 2
- Getting different speaker embeddings from same wav file on different machine HOT 2
- Speech Diarization
- Using VoiceEncoder as loss with time domain models
- AttributeError: module 'numpy' has no attribute 'bool'.
- What license does resemblyzer fall under? HOT 1
- RuntimeError: cuDNN error: CUDNN_STATUS_VERSION_MISMATCH
- is this speaker embedding better than X-vector?
- Demo2 not showing any result HOT 2
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