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[diar] merge voxconverse v3 into v2 and update results in README.md (#…
…352) * [diar] deprecate silero-vad v3.1 in v1 * [diar] 1. deprecate silero-vad v3.1 in v2; 2. add the "cluster_type" parameter and merge v3 into v2; * [diar] update README.md for voxconverse repices * [diar] update README.md * [diar] update voxconverse/v2/run.sh * [docs] update README.md
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| Original file line number | Diff line number | Diff line change |
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| @@ -1,3 +1,7 @@ | ||
| This is a **WeSpeaker** speaker diarization recipe on the Voxconverse 2020 dataset. It focused on a ``in the wild`` scenario, which was collected from YouTube videos with a semi-automatic pipeline and released for the diarization track in VoxSRC 2020 Challenge. See https://www.robots.ox.ac.uk/~vgg/data/voxconverse/ for more detailed information. | ||
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| Two recipes are provided, including **v1** and **v2**. Their only difference is that in **v2**, we split the Fbank extraction, embedding extraction and clustering modules to different stages. We recommend newcomers to follow the **v2** recipe and run it stage by stage. | ||
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| 🔥 UPDATE 2024.08.20: | ||
| * silero-vad v5.1 is used in place of v3.1 | ||
| * umap dimensionality reduction + hdbscan clustering is also supported in v2 |
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|---|---|---|
| @@ -1,6 +1,7 @@ | ||
| #!/bin/bash | ||
| # Copyright (c) 2022-2023 Xu Xiang | ||
| # 2022 Zhengyang Chen ([email protected]) | ||
| # 2024 Hongji Wang ([email protected]) | ||
| # | ||
| # Licensed under the Apache License, Version 2.0 (the "License"); | ||
| # you may not use this file except in compliance with the License. | ||
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@@ -18,8 +19,9 @@ | |
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| stage=-1 | ||
| stop_stage=-1 | ||
| sad_type="oracle" | ||
| partition="dev" | ||
| sad_type="oracle" # oracle/system | ||
| partition="dev" # dev/test | ||
| cluster_type="spectral" # spectral/umap | ||
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| # do cmn on the sub-segment or on the vad segment | ||
| subseg_cmn=true | ||
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@@ -36,11 +38,7 @@ if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then | |
| wget -c https://github.com/usnistgov/SCTK/archive/refs/tags/v2.4.12.zip -O external_tools/SCTK-v2.4.12.zip | ||
| unzip -o external_tools/SCTK-v2.4.12.zip -d external_tools | ||
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| # [2] Download voice activity detection model pretrained by Silero Team | ||
| wget -c https://github.com/snakers4/silero-vad/archive/refs/tags/v3.1.zip -O external_tools/silero-vad-v3.1.zip | ||
| unzip -o external_tools/silero-vad-v3.1.zip -d external_tools | ||
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| # [3] Download ResNet34 speaker model pretrained by WeSpeaker Team | ||
| # [2] Download ResNet34 speaker model pretrained by WeSpeaker Team | ||
| mkdir -p pretrained_models | ||
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| wget -c https://wespeaker-1256283475.cos.ap-shanghai.myqcloud.com/models/voxceleb/voxceleb_resnet34_LM.onnx -O pretrained_models/voxceleb_resnet34_LM.onnx | ||
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@@ -101,7 +99,6 @@ if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ]; then | |
| if [[ "x${sad_type}" == "xsystem" ]]; then | ||
| # System SAD: applying 'silero' VAD | ||
| python3 wespeaker/diar/make_system_sad.py \ | ||
| --repo-path external_tools/silero-vad-3.1 \ | ||
| --scp data/${partition}/wav.scp \ | ||
| --min-duration $min_duration > data/${partition}/system_sad | ||
| fi | ||
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@@ -144,24 +141,24 @@ if [ ${stage} -le 5 ] && [ ${stop_stage} -ge 5 ]; then | |
| fi | ||
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| # Applying spectral clustering algorithm | ||
| # Applying spectral or ump+hdbscan clustering algorithm | ||
| if [ ${stage} -le 6 ] && [ ${stop_stage} -ge 6 ]; then | ||
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| [ -f "exp/spectral_cluster/${partition}_${sad_type}_sad_labels" ] && rm exp/spectral_cluster/${partition}_${sad_type}_sad_labels | ||
| [ -f "exp/${cluster_type}_cluster/${partition}_${sad_type}_sad_labels" ] && rm exp/${cluster_type}_cluster/${partition}_${sad_type}_sad_labels | ||
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| echo "Doing spectral clustering and store the result in exp/spectral_cluster/${partition}_${sad_type}_sad_labels" | ||
| echo "Doing ${cluster_type} clustering and store the result in exp/${cluster_type}_cluster/${partition}_${sad_type}_sad_labels" | ||
| echo "..." | ||
| python3 wespeaker/diar/spectral_clusterer.py \ | ||
| python3 wespeaker/diar/${cluster_type}_clusterer.py \ | ||
| --scp exp/${partition}_${sad_type}_sad_embedding/emb.scp \ | ||
| --output exp/spectral_cluster/${partition}_${sad_type}_sad_labels | ||
| --output exp/${cluster_type}_cluster/${partition}_${sad_type}_sad_labels | ||
| fi | ||
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| # Convert labels to RTTMs | ||
| if [ ${stage} -le 7 ] && [ ${stop_stage} -ge 7 ]; then | ||
| python3 wespeaker/diar/make_rttm.py \ | ||
| --labels exp/spectral_cluster/${partition}_${sad_type}_sad_labels \ | ||
| --channel 1 > exp/spectral_cluster/${partition}_${sad_type}_sad_rttm | ||
| --labels exp/${cluster_type}_cluster/${partition}_${sad_type}_sad_labels \ | ||
| --channel 1 > exp/${cluster_type}_cluster/${partition}_${sad_type}_sad_rttm | ||
| fi | ||
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@@ -173,18 +170,18 @@ if [ ${stage} -le 8 ] && [ ${stop_stage} -ge 8 ]; then | |
| perl external_tools/SCTK-2.4.12/src/md-eval/md-eval.pl \ | ||
| -c 0.25 \ | ||
| -r <(cat ${ref_dir}/${partition}/*.rttm) \ | ||
| -s exp/spectral_cluster/${partition}_${sad_type}_sad_rttm 2>&1 | tee exp/spectral_cluster/${partition}_${sad_type}_sad_res | ||
| -s exp/${cluster_type}_cluster/${partition}_${sad_type}_sad_rttm 2>&1 | tee exp/${cluster_type}_cluster/${partition}_${sad_type}_sad_res | ||
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| if [ ${get_each_file_res} -eq 1 ];then | ||
| single_file_res_dir=exp/spectral_cluster/${partition}_${sad_type}_single_file_res | ||
| single_file_res_dir=exp/${cluster_type}_cluster/${partition}_${sad_type}_single_file_res | ||
| mkdir -p $single_file_res_dir | ||
| echo -e "\nGet the DER results for each file and the results will be stored underd ${single_file_res_dir}\n..." | ||
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| awk '{print $2}' exp/spectral_cluster/${partition}_${sad_type}_sad_rttm | sort -u | while read file_name; do | ||
| awk '{print $2}' exp/${cluster_type}_cluster/${partition}_${sad_type}_sad_rttm | sort -u | while read file_name; do | ||
| perl external_tools/SCTK-2.4.12/src/md-eval/md-eval.pl \ | ||
| -c 0.25 \ | ||
| -r <(cat ${ref_dir}/${partition}/${file_name}.rttm) \ | ||
| -s <(grep "${file_name}" exp/spectral_cluster/${partition}_${sad_type}_sad_rttm) > ${single_file_res_dir}/${partition}_${file_name}_res | ||
| -s <(grep "${file_name}" exp/${cluster_type}_cluster/${partition}_${sad_type}_sad_rttm) > ${single_file_res_dir}/${partition}_${file_name}_res | ||
| done | ||
| echo "Done!" | ||
| fi | ||
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