70 lines
1.7 KiB
Plaintext
70 lines
1.7 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"from vad_recorder import VADRecorder\n",
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"import time\n",
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"\n",
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"# Instantiate WhisperWrap with the target device name and other parameters\n",
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"vad_rec = VADRecorder()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"print(\"Starting VAD recording thread\")\n",
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"\n",
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"try:\n",
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" vad_rec.start_vad_recorder(target_device_name=\"Virtual\")\n",
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"\n",
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"\n",
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" recordings_count = 0\n",
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" now_speech = False\n",
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"\n",
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" print(\"Done!\")\n",
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" while True:\n",
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" if vad_rec.speech != now_speech:\n",
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" now_speech = vad_rec.speech\n",
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" print(f\"Speech: {now_speech}\")\n",
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" if len(vad_rec.audios_for_whisper) != recordings_count:\n",
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" recordings_count = len(vad_rec.audios_for_whisper)\n",
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" print(f\"Recordings count: {recordings_count}\")\n",
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"\n",
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" time.sleep(0.01)\n",
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"\n",
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"except (KeyboardInterrupt, SystemExit):\n",
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" print(\"Cleaning up...\")\n",
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" vad_rec.stop_vad_recorder()\n"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.6"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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