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Diarization is not working fine for me. For some audios, all segments are identifies by Speaker 0. Are there some solutions to improve diarization quality ?
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Hi folks,
i have hard time to get an data for multiple speakers. and there is no example for it. On google official docs there is no example u can see here https://cloud.google.com/speech-to-text/doc…
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Now that we've got about 100k transcripts in our oral argument collection, perhaps a next step would be to add sentiment analysis. I think this is pretty easy stuff these days either through an AI cal…
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I am getting following error on running speaker diarization.
I have installed these dependensies:
`pip install numpy matplotlib scipy sklearn hmmlearn simplejson eyed3 pydub
`
```
python audioA…
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Add DER metric for speaker diarization task.
This is used by SUPERB beenchmark, for example.
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### Introduction
Speaker diarization is the process of partitioning an input audio stream into homogeneous segments according to the speaker's identity. It can enhance the readability of an automatic…
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Running starter program, it detects the speakers. How do I get the speech?
My usecase is I like to output a transcript in following form
Start_time, End_Time, SpeechText, Speaker_id
meera updated
2 months ago
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Hello,
I am new to this,
How do you make sure it only find 2 speakers?
I am trying to whisper a video where 2 persons speak but I am gettings results with multiple speakers
I used this code:
diar…
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Hi,
I am trying to run a pipeline to extract embeddings
The pipeline I am running is the one in the README:
```
import rx.operators as ops
import diart.operators as dops
from diart.source…
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Hi,
thank You for Your work but I am having issues.
Theres no error but after run your example I am getting an almost empty file in logs:
In the file theres only following string:
zach (206.8…