#!/bin/bash
# Embed the same window set with every candidate speaker-embedding model, so the
# clustering lab can compare their speaker separability on OUR audio.
cd /opt/callrec/lab
/opt/callrec/aime-cpucap.sh 1800000
for m in nemo_titanet_small wespeaker_en_voxceleb_resnet34_LM 3dspeaker_speech_campplus_sv_zh_en_16k-common_advanced nemo_en_titanet_large 3dspeaker_speech_eres2netv2_sv_zh-cn_16k-common; do
  out=emb74.$m.json
  [ -f "$out" ] && { echo "skip $m"; continue; }
  echo "=== $m $(date -Is)"
  taskset -c 4-7 node lab-embed.mjs segs74.txt /opt/callrec/recordings/rec_1784280581035.wav \
    /opt/sherpa/$m.onnx "$out" 3.0 1.5 2>&1 | tail -12
done
/opt/callrec/aime-cpucap.sh 2256000
echo "ALLDONE $(date -Is)"