diart

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Minimizing missed detection

7

Iv'e been working on tuning the pipeline for my application which is a real time conversational system, the best results so far are: 36.02% DER, 2.41% false alarm, 20.04% missed...

arielrado

quality concerns

1

It looks like pipeline quickly forgets previous speakers, assigning wrong tags to new ones, so that a conversation of 4-5 people being inferenced as a conversation of 2. I am...

DmitriyG228

Create a Docker image

5

## Problem Setting up the project is a bit too long with all the dependencies and the use of conda. ## Idea Create and publish docker images with new diart...

juanmc2005

Feature Request: Implementing Persistent Speaker Embeddings Across Conversations

3

### Feature Description I propose the addition of a feature to the DIART project that allows for the persistence and reuse of speaker embeddings across multiple conversations. I am willing...

DmitriyG228

The latency of wespeaker model is to large

1

hello @juanmc2005 I use the hbredin/wespeaker-voxceleb-resnet34-LM (ONNX) model to extract speaker embedding in diarization pipeline, but I found the latency is too large(1300ms) when calculate per chunk with the default...

SheenChi

Implement voicefixer for audio enhancement

6

Is there any way to implement [voicefixer](https://github.com/haoheliu/voicefixer_main) to speaker diarization pipeline? The package takes a wav file as input and gives a upsampled 44100kHz wav file as output, but that...

thieugiactu

ImportError: cannot import name 'OnlineSpeakerDiarization' from 'diart'

9

I am trying to run your tutorial on [transcription coloring](https://betterprogramming.pub/color-your-captions-streamlining-live-transcriptions-with-diart-and-openais-whisper-6203350234ef). But I am getting the mentioned error. The library runs fine per "diart.stream microphone". Running on Windows 11 with Python...

ameer-kanaan

wip: add pseudo speaker diarization pipeline based on segmentation stitching

1

As segmentation models are getting better, it might make sense to revisit the idea of stitching based on segmentation alone. That's what this (WIP) pipeline does. Also, that was an...

hbredin

### Problem `LazyModel` makes it rather complicated for someone to add their own model, especially when some changes need to be made to the input/output. The reason `LazyModel` exists is...

juanmc2005

Optimize weighted embedding extraction with pyannote 3.1

9

With pyannote 3.1, we could do only 1 forward pass of the audio instead of `num_speakers` when extracting embeddings with weights. This is probably at least one of the causes...

juanmc2005