[vec] update readme, test=doc

pull/1791/head
qingen 3 years ago
parent e98845d778
commit 648cc5823b

@ -1,3 +1,3 @@
# Speaker Diarization on AMI corpus
* sd0 - speaker diarization by AHC,SC base on x-vectors
* sd0 - speaker diarization by AHC,SC base on embeddings

@ -7,7 +7,23 @@
The script performs diarization using x-vectors(TDNN,ECAPA-TDNN) on the AMI mix-headset data. We demonstrate the use of different clustering methods: AHC, spectral.
## How to Run
### prepare annotations and audios
Download AMI corpus, You need around 10GB of free space to get whole data
The signals are too large to package in this way, so you need to use the chooser to indicate which ones you wish to download
```bash
## download annotations
wget http://groups.inf.ed.ac.uk/ami/AMICorpusAnnotations/ami_public_manual_1.6.2.zip && unzip ami_public_manual_1.6.2.zip
```
then please follow https://groups.inf.ed.ac.uk/ami/download/ to download the Signals:
1) Select one or more AMI meetings: the IDs please follow ./ami_split.py
2) Select media streams: Just select Headset mix
### start running
Use the following command to run diarization on AMI corpus.
`bash ./run.sh`
```bash
./run.sh --data_folder ./amicorpus --manual_annot_folder ./ami_public_manual_1.6.2
```
## Results (DER) coming soon! :)

@ -17,18 +17,6 @@ device=gpu
. ${MAIN_ROOT}/utils/parse_options.sh || exit 1;
if [ $stage -le 0 ]; then
# Prepare data
# Download AMI corpus, You need around 10GB of free space to get whole data
# The signals are too large to package in this way,
# so you need to use the chooser to indicate which ones you wish to download
echo "Please follow https://groups.inf.ed.ac.uk/ami/download/ to download the data."
echo "Annotations: AMI manual annotations v1.6.2 "
echo "Signals: "
echo "1) Select one or more AMI meetings: the IDs please follow ./ami_split.py"
echo "2) Select media streams: Just select Headset mix"
fi
if [ $stage -le 1 ]; then
# Download the pretrained model
wget https://paddlespeech.bj.bcebos.com/vector/voxceleb/sv0_ecapa_tdnn_voxceleb12_ckpt_0_1_1.tar.gz

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