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## Current Behavior
The quotes are listed underneath the relevant tag by their speaker identity. They are hard to click and take up valuable space. Having another way to view them would be nice.
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Hi!
I've encountered a problem
I have multi speaker dataset.
If I train a separate model for speaker (single speaker model) - prosody, speed, intonations, timbre, identity are good (for the spe…
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### Description :
We need to create conversation using Speaker diarisation and existing STT datas time stamps. from NS audios.
Use existing speaker diarisation model from pyannote.audio:
[model](http…
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Okay, so I've been testing out the demo colab notebook and tried synthesizing a few characters, but it seems like it's having a hard time preserving the speaker identity. The result audio doesn't soun…
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Title: Get to know heimdall - an identity aware proxy
Speakers: Dimitrij Drus (@dadrus)
Description: I would like to present a project, I'm maintaining - https://github.com/dadrus/heimdall, whi…
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> Speaker diarization is the process of partitioning an audio stream into homogeneous segments according to the speaker identity.
Try to use pyannote to accomplish this. Try to download the entiret…
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During the W3C Credentials Community Group presentation, I noticed that the schema switches between singular and plural form for the attribute names.
https://identity.foundation/credential-schemas/…
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Hi,
We are trying to train a multi-speaker model starting from the LibriTTS data and using the latest FastPitch commit. We selected the 50 speakers which have the most utterances in the dataset, an…
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type IsSpeaking
bool
type WhoIsSpeaking
uuid
known speakers
[chat on diarization embeddings](https://chatgpt.com/share/6704175b-9184-800f-bc01-2076a8af85bf)
[chat on running models locall…
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since I could not find the audio samples in this repo, I wonder if the generated audios belong to a specific speaker identity?