From 5331f9c1e288630b4b254bf496dba2fdc41348f0 Mon Sep 17 00:00:00 2001
From: 202210715070 LUSIANA SITUMORANG <202210715070@mhs.ubharajaya.ac.id>
Date: Sat, 24 Jan 2026 11:36:11 +0700
Subject: [PATCH] Upload files to "Tugas Kelompok NLP (Project)"

Tugas Kelompok NLP

Nama Anggota :
1. Alprian Baharaja Sitorus
2. Fahrizal Setiawan
3. Lusiana Situmorang
---
 Tugas Kelompok NLP (Project)/Pert_12.ipynb | 210 +++++++++++++++++++++
 1 file changed, 210 insertions(+)
 create mode 100644 Tugas Kelompok NLP (Project)/Pert_12.ipynb

diff --git a/Tugas Kelompok NLP (Project)/Pert_12.ipynb b/Tugas Kelompok NLP (Project)/Pert_12.ipynb
new file mode 100644
index 0000000..f48f7f6
--- /dev/null
+++ b/Tugas Kelompok NLP (Project)/Pert_12.ipynb	
@@ -0,0 +1,210 @@
+{
+  "nbformat": 4,
+  "nbformat_minor": 0,
+  "metadata": {
+    "colab": {
+      "provenance": []
+    },
+    "kernelspec": {
+      "name": "python3",
+      "display_name": "Python 3"
+    },
+    "language_info": {
+      "name": "python"
+    }
+  },
+  "cells": [
+    {
+      "cell_type": "code",
+      "source": [
+        "!pip install SpeechRecognition pydub"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "Bb_GmLxLYPSl",
+        "outputId": "542a41c4-063d-4766-b2bc-9cab97080256"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Collecting SpeechRecognition\n",
+            "  Downloading speechrecognition-3.14.5-py3-none-any.whl.metadata (30 kB)\n",
+            "Requirement already satisfied: pydub in /usr/local/lib/python3.12/dist-packages (0.25.1)\n",
+            "Requirement already satisfied: typing-extensions in /usr/local/lib/python3.12/dist-packages (from SpeechRecognition) (4.15.0)\n",
+            "Downloading speechrecognition-3.14.5-py3-none-any.whl (32.9 MB)\n",
+            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m32.9/32.9 MB\u001b[0m \u001b[31m22.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[?25hInstalling collected packages: SpeechRecognition\n",
+            "Successfully installed SpeechRecognition-3.14.5\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "from IPython.display import HTML, display\n",
+        "import base64\n",
+        "import json\n",
+        "import numpy as np\n",
+        "import soundfile as sf\n",
+        "from google.colab import output\n",
+        "\n",
+        "RECORD = \"\"\"\n",
+        "<button onclick=\"startRecording()\">🎤 Record</button>\n",
+        "<button onclick=\"stopRecording()\">⏹ Stop</button>\n",
+        "<script>\n",
+        "let recorder;\n",
+        "let audioChunks = [];\n",
+        "\n",
+        "async function startRecording() {\n",
+        "  const stream = await navigator.mediaDevices.getUserMedia({ audio: true });\n",
+        "  recorder = new MediaRecorder(stream);\n",
+        "  audioChunks = [];\n",
+        "  recorder.ondataavailable = e => audioChunks.push(e.data);\n",
+        "  recorder.start();\n",
+        "}\n",
+        "\n",
+        "async function stopRecording() {\n",
+        "  recorder.stop();\n",
+        "  recorder.onstop = async () => {\n",
+        "    const blob = new Blob(audioChunks);\n",
+        "    const buffer = await blob.arrayBuffer();\n",
+        "    const base64data = btoa(\n",
+        "      String.fromCharCode(...new Uint8Array(buffer))\n",
+        "    );\n",
+        "    google.colab.kernel.invokeFunction(\n",
+        "      'notebook.save_audio',\n",
+        "      [base64data],\n",
+        "      {}\n",
+        "    );\n",
+        "  };\n",
+        "}\n",
+        "</script>\n",
+        "\"\"\"\n",
+        "\n",
+        "display(HTML(RECORD))"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 40
+        },
+        "id": "PhN27gCwYYxs",
+        "outputId": "c30a588f-c16d-4d31-dd9e-383ba4c20697"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<IPython.core.display.HTML object>"
+            ],
+            "text/html": [
+              "\n",
+              "<button onclick=\"startRecording()\">🎤 Record</button>\n",
+              "<button onclick=\"stopRecording()\">⏹ Stop</button>\n",
+              "<script>\n",
+              "let recorder;\n",
+              "let audioChunks = [];\n",
+              "\n",
+              "async function startRecording() {\n",
+              "  const stream = await navigator.mediaDevices.getUserMedia({ audio: true });\n",
+              "  recorder = new MediaRecorder(stream);\n",
+              "  audioChunks = [];\n",
+              "  recorder.ondataavailable = e => audioChunks.push(e.data);\n",
+              "  recorder.start();\n",
+              "}\n",
+              "\n",
+              "async function stopRecording() {\n",
+              "  recorder.stop();\n",
+              "  recorder.onstop = async () => {\n",
+              "    const blob = new Blob(audioChunks);\n",
+              "    const buffer = await blob.arrayBuffer();\n",
+              "    const base64data = btoa(\n",
+              "      String.fromCharCode(...new Uint8Array(buffer))\n",
+              "    );\n",
+              "    google.colab.kernel.invokeFunction(\n",
+              "      'notebook.save_audio',\n",
+              "      [base64data],\n",
+              "      {}\n",
+              "    );\n",
+              "  };\n",
+              "}\n",
+              "</script>\n"
+            ]
+          },
+          "metadata": {}
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "def save_audio(base64data):\n",
+        "    audio_bytes = base64.b64decode(base64data)\n",
+        "    with open(\"audio.wav\", \"wb\") as f:\n",
+        "        f.write(audio_bytes)\n",
+        "\n",
+        "output.register_callback('notebook.save_audio', save_audio)"
+      ],
+      "metadata": {
+        "id": "hkVcUaEWYY1R"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "import speech_recognition as sr\n",
+        "from pydub import AudioSegment\n",
+        "\n",
+        "# Convert the audio file to a standard WAV format\n",
+        "# The MediaRecorder might save in a format that speech_recognition doesn't natively handle\n",
+        "try:\n",
+        "    audio_file_path = \"audio.wav\"\n",
+        "    sound = AudioSegment.from_file(audio_file_path)\n",
+        "    sound.export(audio_file_path, format=\"wav\")\n",
+        "except Exception as e:\n",
+        "    print(f\"Error converting audio file: {e}\")\n",
+        "\n",
+        "r = sr.Recognizer()\n",
+        "with sr.AudioFile(\"audio.wav\") as source:\n",
+        "    audio = r.record(source)\n",
+        "\n",
+        "try:\n",
+        "    text = r.recognize_google(audio, language=\"id-ID\")\n",
+        "    print(\"Hasil Pengenalan:\", text)\n",
+        "except sr.UnknownValueError:\n",
+        "    print(\"Suara tidak dikenali\")\n",
+        "except sr.RequestError as e:\n",
+        "    print(f\"Could not request results from Google Speech Recognition service; {e}\")\n",
+        "except Exception as e:\n",
+        "    print(f\"An unexpected error occurred: {e}\")"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "_L5FGiYPYj9i",
+        "outputId": "dea16927-be11-457d-bc44-f8baf5e02e3c"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Hasil Pengenalan: data komputer komputer komputer\n"
+          ]
+        }
+      ]
+    }
+  ]
+}
\ No newline at end of file