Sat Samples

cli/wake_word_sample_trainer

@@ -111,6 +111,16 @@ else
   echo "ℹ️  No personal features found at ${PERSONAL_FEATURES_DIR}/training (continuing without personal weighting)"
 fi
 
+# Reviewed false-positive features are optional hard negatives.
+REVIEWED_NEGATIVE_FEATURES_DIR="${WORK_DIR}/reviewed_negative_features"
+HAS_REVIEWED_NEGATIVE="false"
+if [ -d "${REVIEWED_NEGATIVE_FEATURES_DIR}/training" ] ; then
+  HAS_REVIEWED_NEGATIVE="true"
+  echo "✅ Found reviewed negative features: ${REVIEWED_NEGATIVE_FEATURES_DIR}/training (will weight as hard negatives)"
+else
+  echo "ℹ️  No reviewed negative features found at ${REVIEWED_NEGATIVE_FEATURES_DIR}/training (continuing with stock negatives)"
+fi
+
 cd "${WORK_DIR}"
 
 echo "===== Starting ${TRAINING_STEPS} training steps ====="
@@ -133,6 +143,7 @@ features:
   truth: true
   type: mmap
 __PERSONAL_FEATURE_MARKER__
+__REVIEWED_NEGATIVE_FEATURE_MARKER__
 - features_dir: __NEG_SPEECH__
   penalty_weight: 1.0
   sampling_weight: 12.0
@@ -208,6 +219,22 @@ else
   sed -i -e "/__PERSONAL_FEATURE_MARKER__/d" "${YAML_PATH}"
 fi
 
+# Insert/remove reviewed hard-negative block
+if [ "${HAS_REVIEWED_NEGATIVE}" = "true" ]; then
+  reviewed_negative_block="$(cat <<EOF
+- features_dir: ${REVIEWED_NEGATIVE_FEATURES_DIR}
+  penalty_weight: 1.25
+  sampling_weight: 8.0
+  truncation_strategy: random
+  truth: false
+  type: mmap
+EOF
+)"
+  perl -0777 -i -pe "s#__REVIEWED_NEGATIVE_FEATURE_MARKER__#${reviewed_negative_block}#g" "${YAML_PATH}"
+else
+  sed -i -e "/__REVIEWED_NEGATIVE_FEATURE_MARKER__/d" "${YAML_PATH}"
+fi
+
 echo "   Wrote training_parameters.yaml"
 rm -rf "${WORK_DIR}/trained_models/wakeword"