---
license: apache-2.0
---
# Positive Transfer Of The Whisper Speech Transformer To Human And Animal Voice Activity Detection
We proposed WhisperSeg, utilizing the Whisper Transformer pre-trained for Automatic Speech Recognition (ASR) for both human and animal Voice Activity Detection (VAD). For more details, please refer to our paper

>
> [**Positive Transfer of the Whisper Speech Transformer to Human and Animal Voice Activity Detection**]()
> 
> Nianlong Gu, Kanghwi Lee, Maris Basha, Sumit Kumar Ram, Guanghao You, Richard H. R. Hahnloser <br>
> University of Zurich and ETH Zurich


The model "nccratliri/whisperseg-large-ms" is the checkpoint of the multi-species WhisperSeg-large that was finetuned on the vocal segmentation datasets of five species.

## Usage
### Clone the GitHub repo and install dependencies
```bash
git clone https://github.com/nianlonggu/WhisperSeg.git
cd WhisperSeg; pip install -r requirements.txt
```

Then in the folder "WhisperSeg", run the following python script:
```python
from model import WhisperSegmenter
import librosa
import json
segmenter = WhisperSegmenter( "nccratliri/whisperseg-large-ms", device="cuda" )

sr = 32000  
min_frequency = 0
spec_time_step = 0.0025
min_segment_length = 0.01
eps = 0.02
num_trials = 3

audio, _ = librosa.load( "data/example_subset/Zebra_finch/test_adults/zebra_finch_g17y2U-f00007.wav", 
                         sr = sr )

prediction = segmenter.segment(  audio, sr = sr, min_frequency = min_frequency, spec_time_step = spec_time_step,
                       min_segment_length = min_segment_length, eps = eps,num_trials = num_trials )

print(prediction)
```
  {'onset': [0.01, 0.38, 0.603, 0.758, 0.912, 1.813, 1.967, 2.073, 2.838, 2.982, 3.112, 3.668, 3.828, 3.953, 5.158, 5.323, 5.467], 'offset': [0.073, 0.447, 0.673, 0.83, 1.483, 1.882, 2.037, 2.643, 2.893, 3.063, 3.283, 3.742, 3.898, 4.523, 5.223, 5.393, 6.043], 'cluster': ['zebra_finch_0', 'zebra_finch_0', 'zebra_finch_0', 'zebra_finch_0', 'zebra_finch_0', 'zebra_finch_0', 'zebra_finch_0', 'zebra_finch_0', 'zebra_finch_0', 'zebra_finch_0', 'zebra_finch_0', 'zebra_finch_0', 'zebra_finch_0', 'zebra_finch_0', 'zebra_finch_0', 'zebra_finch_0', 'zebra_finch_0']}


For more details, please refer to the GitHub repository: https://github.com/nianlonggu/WhisperSeg

## Contact
nianlong.gu@uzh.ch