
## Pyannote Segmentation model fine-tuned on CHiME-7 DASR data

This repo contains the [Pyannote Segmentation](https://huggingface.co/pyannote/segmentation/tree/main) model fine-tuned on data from CHiME-7 DASR Challenge. 
Only CHiME-6 (train set) data was used for training while Mixer 6 (dev set) was used for validation in order to avoid overfitting CHiME-6 scenario 
(Mixer 6 is arguably the most different scenario within the three in CHiME-7 DASR so I used it in validation here as the ultimate score is a macro-average across all scenarios). 

It is used to perform diarization in the CHiME-7 DASR diarization baseline. <br> 
**For more information see the [CHiME-7 DASR baseline recipe in ESPNEt2](https://github.com/espnet/espnet/egs2/chime7_task1/diar_asr1).**

## Usage

Relies on pyannote.audio 2.1.1: see [installation instructions](https://github.com/pyannote/pyannote-audio).

```python
from pyannote.audio import Model
model = Model.from_pretrained("popcornell/pyannote-segmentation-chime6-mixer6")
```

{"language": ["en"], "license": "mit", "library_name": "pyannote-audio", "tags": ["chime7_task1"], "datasets": ["ami"], "pipeline_tag": "voice-activity-detection"}
pyannote-audio pytorch chime7_task1 voice-activity-detection en dataset:ami license:mit region:us
TAGS
#pyannote-audio #pytorch #chime7_task1 #voice-activity-detection #en #dataset-ami #license-mit #region-us 


## Pyannote Segmentation model fine-tuned on CHiME-7 DASR data

This repo contains the Pyannote Segmentation model fine-tuned on data from CHiME-7 DASR Challenge. 
Only CHiME-6 (train set) data was used for training while Mixer 6 (dev set) was used for validation in order to avoid overfitting CHiME-6 scenario 
(Mixer 6 is arguably the most different scenario within the three in CHiME-7 DASR so I used it in validation here as the ultimate score is a macro-average across all scenarios). 

It is used to perform diarization in the CHiME-7 DASR diarization baseline. <br> 
For more information see the CHiME-7 DASR baseline recipe in ESPNEt2.

## Usage

Relies on URL 2.1.1: see installation instructions.



## Pyannote Segmentation model fine-tuned on CHiME-7 DASR data

This repo contains the Pyannote Segmentation model fine-tuned on data from CHiME-7 DASR Challenge. 
Only CHiME-6 (train set) data was used for training while Mixer 6 (dev set) was used for validation in order to avoid overfitting CHiME-6 scenario 
(Mixer 6 is arguably the most different scenario within the three in CHiME-7 DASR so I used it in validation here as the ultimate score is a macro-average across all scenarios). 

It is used to perform diarization in the CHiME-7 DASR diarization baseline. <br> 
For more information see the CHiME-7 DASR baseline recipe in ESPNEt2. ## Usage

Relies on URL 2.1.1: see installation instructions.
TAGS
#pyannote-audio #pytorch #chime7_task1 #voice-activity-detection #en #dataset-ami #license-mit #region-us 
 ## Pyannote Segmentation model fine-tuned on CHiME-7 DASR data

This repo contains the Pyannote Segmentation model fine-tuned on data from CHiME-7 DASR Challenge. 
Only CHiME-6 (train set) data was used for training while Mixer 6 (dev set) was used for validation in order to avoid overfitting CHiME-6 scenario 
(Mixer 6 is arguably the most different scenario within the three in CHiME-7 DASR so I used it in validation here as the ultimate score is a macro-average across all scenarios). 

It is used to perform diarization in the CHiME-7 DASR diarization baseline. <br> 
For more information see the CHiME-7 DASR baseline recipe in ESPNEt2. ## Usage

Relies on URL 2.1.1: see installation instructions.
TAGS
#pyannote-audio #pytorch #chime7_task1 #voice-activity-detection #en #dataset-ami #license-mit #region-us 
## Pyannote Segmentation model fine-tuned on CHiME-7 DASR data

This repo contains the Pyannote Segmentation model fine-tuned on data from CHiME-7 DASR Challenge. 
Only CHiME-6 (train set) data was used for training while Mixer 6 (dev set) was used for validation in order to avoid overfitting CHiME-6 scenario 
(Mixer 6 is arguably the most different scenario within the three in CHiME-7 DASR so I used it in validation here as the ultimate score is a macro-average across all scenarios). 

It is used to perform diarization in the CHiME-7 DASR diarization baseline. <br> 
For more information see the CHiME-7 DASR baseline recipe in ESPNEt2.## Usage

Relies on URL 2.1.1: see installation instructions.