diff --git a/memory/memories.db-wal b/memory/memories.db-wal
index f3e10e806..4746166bc 100644
Binary files a/memory/memories.db-wal and b/memory/memories.db-wal differ
diff --git a/tools/meeting-notes/dist/index.js b/tools/meeting-notes/dist/index.js
index f9df452ea..af3060d62 100644
--- a/tools/meeting-notes/dist/index.js
+++ b/tools/meeting-notes/dist/index.js
@@ -27,20 +27,17 @@ function getEnvList(key) {
     const value = getEnv(key);
     return value.split(',').map(s => s.trim()).filter(Boolean);
 }
-async function transcribeWithOnnxAsr(wavPath) {
+const PYWHISPER_PYTHON = '/home/nicholai/.local/share/hyprwhspr/venv/bin/python3';
+const PYWHISPER_MODEL = 'small.en';
+async function transcribeWithWhisper(wavPath) {
     return new Promise((resolve) => {
-        const python = spawn('python3', [
+        const python = spawn(PYWHISPER_PYTHON, [
             '-c',
             `
-import sys
-import os
-os.environ['ORT_LOGGING_LEVEL'] = '4'
-sys.path.insert(0, '/usr/lib/hyprwhspr/lib/src')
-import onnx_asr
-model = onnx_asr.load_model('nemo-parakeet-tdt-0.6b-v3', quantization='int8')
-with open('${wavPath}', 'rb') as f:
-    result = model.transcribe(f.read())
-print(result if isinstance(result, str) else result.get('text', ''))
+from pywhispercpp.model import Model
+model = Model('${PYWHISPER_MODEL}')
+segments = model.transcribe('${wavPath}')
+print(' '.join(seg.text for seg in segments))
       `.trim(),
         ]);
         let output = '';
@@ -53,7 +50,7 @@ print(result if isinstance(result, str) else result.get('text', ''))
         });
         python.on('close', (code) => {
             if (code !== 0) {
-                console.error(`[TRANSCRIBE] onnx_asr failed: ${error.slice(0, 200)}`);
+                console.error(`[TRANSCRIBE] pywhispercpp failed (exit ${code}): ${error.slice(0, 200)}`);
                 resolve('');
                 return;
             }
@@ -240,7 +237,7 @@ class MeetingNotesBot {
                 console.error(`[FFMPEG] Failed with code ${code}`);
                 return;
             }
-            const text = await transcribeWithOnnxAsr(wavFile);
+            const text = await transcribeWithWhisper(wavFile);
             unlinkSync(wavFile);
             if (text) {
                 const segment = {