{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "tSgZ1iYh-Y0u",
        "outputId": "84aa9c1d-2e4e-45c4-f55b-19e0eb7489bd"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Found existing installation: pyannote.audio 3.1.1\n",
            "Uninstalling pyannote.audio-3.1.1:\n",
            "  Successfully uninstalled pyannote.audio-3.1.1\n",
            "Found existing installation: pyannote.core 5.0.0\n",
            "Uninstalling pyannote.core-5.0.0:\n",
            "  Successfully uninstalled pyannote.core-5.0.0\n",
            "Found existing installation: pyannote.database 5.1.3\n",
            "Uninstalling pyannote.database-5.1.3:\n",
            "  Successfully uninstalled pyannote.database-5.1.3\n",
            "Found existing installation: torch 2.2.2+cu118\n",
            "Uninstalling torch-2.2.2+cu118:\n",
            "  Successfully uninstalled torch-2.2.2+cu118\n",
            "Found existing installation: torchaudio 2.2.2+cu118\n",
            "Uninstalling torchaudio-2.2.2+cu118:\n",
            "  Successfully uninstalled torchaudio-2.2.2+cu118\n",
            "Found existing installation: torchvision 0.17.2+cu118\n",
            "Uninstalling torchvision-0.17.2+cu118:\n",
            "  Successfully uninstalled torchvision-0.17.2+cu118\n",
            "Found existing installation: huggingface-hub 0.36.0\n",
            "Uninstalling huggingface-hub-0.36.0:\n",
            "  Successfully uninstalled huggingface-hub-0.36.0\n",
            "Files removed: 274\n"
          ]
        }
      ],
      "source": [
        "!pip uninstall -y pyannote.audio pyannote.core pyannote.database\n",
        "!pip uninstall -y torch torchaudio torchvision huggingface_hub\n",
        "!pip cache purge\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 810
        },
        "id": "kL3q2IXFbSXK",
        "outputId": "d0c5fc69-f79e-4bdf-ca34-5d64eb663544"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Looking in links: https://download.pytorch.org/whl/torch_stable.html\n",
            "Collecting torch==2.2.2+cu118\n",
            "  Downloading https://download.pytorch.org/whl/cu118/torch-2.2.2%2Bcu118-cp312-cp312-linux_x86_64.whl (819.1 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m819.1/819.1 MB\u001b[0m \u001b[31m2.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting torchaudio==2.2.2+cu118\n",
            "  Downloading https://download.pytorch.org/whl/cu118/torchaudio-2.2.2%2Bcu118-cp312-cp312-linux_x86_64.whl (3.3 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m3.3/3.3 MB\u001b[0m \u001b[31m106.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting torchvision==0.17.2+cu118\n",
            "  Downloading https://download.pytorch.org/whl/cu118/torchvision-0.17.2%2Bcu118-cp312-cp312-linux_x86_64.whl (6.2 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m6.2/6.2 MB\u001b[0m \u001b[31m123.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: filelock in /usr/local/lib/python3.12/dist-packages (from torch==2.2.2+cu118) (3.20.3)\n",
            "Requirement already satisfied: typing-extensions>=4.8.0 in /usr/local/lib/python3.12/dist-packages (from torch==2.2.2+cu118) (4.15.0)\n",
            "Requirement already satisfied: sympy in /usr/local/lib/python3.12/dist-packages (from torch==2.2.2+cu118) (1.14.0)\n",
            "Requirement already satisfied: networkx in /usr/local/lib/python3.12/dist-packages (from torch==2.2.2+cu118) (3.6.1)\n",
            "Requirement already satisfied: jinja2 in /usr/local/lib/python3.12/dist-packages (from torch==2.2.2+cu118) (3.1.6)\n",
            "Requirement already satisfied: fsspec in /usr/local/lib/python3.12/dist-packages (from torch==2.2.2+cu118) (2025.3.0)\n",
            "Requirement already satisfied: nvidia-cuda-nvrtc-cu11==11.8.89 in /usr/local/lib/python3.12/dist-packages (from torch==2.2.2+cu118) (11.8.89)\n",
            "Requirement already satisfied: nvidia-cuda-runtime-cu11==11.8.89 in /usr/local/lib/python3.12/dist-packages (from torch==2.2.2+cu118) (11.8.89)\n",
            "Requirement already satisfied: nvidia-cuda-cupti-cu11==11.8.87 in /usr/local/lib/python3.12/dist-packages (from torch==2.2.2+cu118) (11.8.87)\n",
            "Requirement already satisfied: nvidia-cudnn-cu11==8.7.0.84 in /usr/local/lib/python3.12/dist-packages (from torch==2.2.2+cu118) (8.7.0.84)\n",
            "Requirement already satisfied: nvidia-cublas-cu11==11.11.3.6 in /usr/local/lib/python3.12/dist-packages (from torch==2.2.2+cu118) (11.11.3.6)\n",
            "Requirement already satisfied: nvidia-cufft-cu11==10.9.0.58 in /usr/local/lib/python3.12/dist-packages (from torch==2.2.2+cu118) (10.9.0.58)\n",
            "Requirement already satisfied: nvidia-curand-cu11==10.3.0.86 in /usr/local/lib/python3.12/dist-packages (from torch==2.2.2+cu118) (10.3.0.86)\n",
            "Requirement already satisfied: nvidia-cusolver-cu11==11.4.1.48 in /usr/local/lib/python3.12/dist-packages (from torch==2.2.2+cu118) (11.4.1.48)\n",
            "Requirement already satisfied: nvidia-cusparse-cu11==11.7.5.86 in /usr/local/lib/python3.12/dist-packages (from torch==2.2.2+cu118) (11.7.5.86)\n",
            "Requirement already satisfied: nvidia-nccl-cu11==2.19.3 in /usr/local/lib/python3.12/dist-packages (from torch==2.2.2+cu118) (2.19.3)\n",
            "Requirement already satisfied: nvidia-nvtx-cu11==11.8.86 in /usr/local/lib/python3.12/dist-packages (from torch==2.2.2+cu118) (11.8.86)\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.12/dist-packages (from torchvision==0.17.2+cu118) (1.26.4)\n",
            "Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in /usr/local/lib/python3.12/dist-packages (from torchvision==0.17.2+cu118) (11.3.0)\n",
            "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.12/dist-packages (from jinja2->torch==2.2.2+cu118) (3.0.3)\n",
            "Requirement already satisfied: mpmath<1.4,>=1.1.0 in /usr/local/lib/python3.12/dist-packages (from sympy->torch==2.2.2+cu118) (1.3.0)\n",
            "Installing collected packages: torch, torchvision, torchaudio\n",
            "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
            "speechbrain 0.5.16 requires huggingface-hub, which is not installed.\n",
            "timm 1.0.24 requires huggingface_hub, which is not installed.\n",
            "sentence-transformers 5.2.0 requires huggingface-hub>=0.20.0, which is not installed.\n",
            "accelerate 1.12.0 requires huggingface_hub>=0.21.0, which is not installed.\n",
            "peft 0.18.1 requires huggingface_hub>=0.25.0, which is not installed.\u001b[0m\u001b[31m\n",
            "\u001b[0mSuccessfully installed torch-2.2.2+cu118 torchaudio-2.2.2+cu118 torchvision-0.17.2+cu118\n"
          ]
        },
        {
          "data": {
            "application/vnd.colab-display-data+json": {
              "id": "21b02a1d176d430d9189e7cf035c1788",
              "pip_warning": {
                "packages": [
                  "torch",
                  "torchaudio",
                  "torchgen",
                  "torchvision",
                  "torio"
                ]
              }
            }
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "!pip install torch==2.2.2+cu118 \\\n",
        "             torchaudio==2.2.2+cu118 \\\n",
        "             torchvision==0.17.2+cu118 \\\n",
        "             -f https://download.pytorch.org/whl/torch_stable.html\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "vK8-VHppcIq9",
        "outputId": "e28ccc0d-4137-4c85-9801-cb4d0854ebeb"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Requirement already satisfied: huggingface_hub==0.36.0 in /usr/local/lib/python3.12/dist-packages (0.36.0)\n",
            "Requirement already satisfied: filelock in /usr/local/lib/python3.12/dist-packages (from huggingface_hub==0.36.0) (3.20.3)\n",
            "Requirement already satisfied: fsspec>=2023.5.0 in /usr/local/lib/python3.12/dist-packages (from huggingface_hub==0.36.0) (2025.3.0)\n",
            "Requirement already satisfied: packaging>=20.9 in /usr/local/lib/python3.12/dist-packages (from huggingface_hub==0.36.0) (25.0)\n",
            "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.12/dist-packages (from huggingface_hub==0.36.0) (6.0.3)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.12/dist-packages (from huggingface_hub==0.36.0) (2.32.4)\n",
            "Requirement already satisfied: tqdm>=4.42.1 in /usr/local/lib/python3.12/dist-packages (from huggingface_hub==0.36.0) (4.67.1)\n",
            "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.12/dist-packages (from huggingface_hub==0.36.0) (4.15.0)\n",
            "Requirement already satisfied: hf-xet<2.0.0,>=1.1.3 in /usr/local/lib/python3.12/dist-packages (from huggingface_hub==0.36.0) (1.2.0)\n",
            "Requirement already satisfied: charset_normalizer<4,>=2 in /usr/local/lib/python3.12/dist-packages (from requests->huggingface_hub==0.36.0) (3.4.4)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.12/dist-packages (from requests->huggingface_hub==0.36.0) (3.11)\n",
            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.12/dist-packages (from requests->huggingface_hub==0.36.0) (2.5.0)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.12/dist-packages (from requests->huggingface_hub==0.36.0) (2026.1.4)\n"
          ]
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.12/dist-packages/pyannote/audio/core/io.py:43: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call.\n",
            "  torchaudio.set_audio_backend(\"soundfile\")\n"
          ]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "3.1.1\n"
          ]
        }
      ],
      "source": [
        "!pip install huggingface_hub==0.36.0\n",
        "# The numpy installation and pyannote.audio import will be moved to the next consolidated installation cell (Ccx3BmVRAOnO)\n",
        "# to ensure correct dependency resolution order.\n",
        "import pyannote.audio\n",
        "print(pyannote.audio.__version__)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "fjMMNwCbcPAt"
      },
      "outputs": [],
      "source": []
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ZlFdr2iN_52G",
        "outputId": "70c42108-781f-4ef4-c9e3-1a82e18f9dbe"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Found existing installation: torch 2.2.2+cu118\n",
            "Uninstalling torch-2.2.2+cu118:\n",
            "  Successfully uninstalled torch-2.2.2+cu118\n",
            "Found existing installation: torchvision 0.17.2+cu118\n",
            "Uninstalling torchvision-0.17.2+cu118:\n",
            "  Successfully uninstalled torchvision-0.17.2+cu118\n",
            "Found existing installation: torchaudio 2.2.2+cu118\n",
            "Uninstalling torchaudio-2.2.2+cu118:\n",
            "  Successfully uninstalled torchaudio-2.2.2+cu118\n"
          ]
        }
      ],
      "source": [
        "!pip uninstall -y torch torchvision torchaudio\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 654
        },
        "id": "3Hp9NDFX_-WR",
        "outputId": "ee0421e2-2704-4c63-cbe1-b9f7b8771f84"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Looking in links: https://download.pytorch.org/whl/torch_stable.html\n",
            "Collecting torch==2.2.2+cu118\n",
            "  Using cached https://download.pytorch.org/whl/cu118/torch-2.2.2%2Bcu118-cp312-cp312-linux_x86_64.whl (819.1 MB)\n",
            "Collecting torchvision==0.17.2+cu118\n",
            "  Using cached https://download.pytorch.org/whl/cu118/torchvision-0.17.2%2Bcu118-cp312-cp312-linux_x86_64.whl (6.2 MB)\n",
            "Collecting torchaudio==2.2.2+cu118\n",
            "  Using cached https://download.pytorch.org/whl/cu118/torchaudio-2.2.2%2Bcu118-cp312-cp312-linux_x86_64.whl (3.3 MB)\n",
            "Requirement already satisfied: filelock in /usr/local/lib/python3.12/dist-packages (from torch==2.2.2+cu118) (3.20.3)\n",
            "Requirement already satisfied: typing-extensions>=4.8.0 in /usr/local/lib/python3.12/dist-packages (from torch==2.2.2+cu118) (4.15.0)\n",
            "Requirement already satisfied: sympy in /usr/local/lib/python3.12/dist-packages (from torch==2.2.2+cu118) (1.14.0)\n",
            "Requirement already satisfied: networkx in /usr/local/lib/python3.12/dist-packages (from torch==2.2.2+cu118) (3.6.1)\n",
            "Requirement already satisfied: jinja2 in /usr/local/lib/python3.12/dist-packages (from torch==2.2.2+cu118) (3.1.6)\n",
            "Requirement already satisfied: fsspec in /usr/local/lib/python3.12/dist-packages (from torch==2.2.2+cu118) (2025.3.0)\n",
            "Requirement already satisfied: nvidia-cuda-nvrtc-cu11==11.8.89 in /usr/local/lib/python3.12/dist-packages (from torch==2.2.2+cu118) (11.8.89)\n",
            "Requirement already satisfied: nvidia-cuda-runtime-cu11==11.8.89 in /usr/local/lib/python3.12/dist-packages (from torch==2.2.2+cu118) (11.8.89)\n",
            "Requirement already satisfied: nvidia-cuda-cupti-cu11==11.8.87 in /usr/local/lib/python3.12/dist-packages (from torch==2.2.2+cu118) (11.8.87)\n",
            "Requirement already satisfied: nvidia-cudnn-cu11==8.7.0.84 in /usr/local/lib/python3.12/dist-packages (from torch==2.2.2+cu118) (8.7.0.84)\n",
            "Requirement already satisfied: nvidia-cublas-cu11==11.11.3.6 in /usr/local/lib/python3.12/dist-packages (from torch==2.2.2+cu118) (11.11.3.6)\n",
            "Requirement already satisfied: nvidia-cufft-cu11==10.9.0.58 in /usr/local/lib/python3.12/dist-packages (from torch==2.2.2+cu118) (10.9.0.58)\n",
            "Requirement already satisfied: nvidia-curand-cu11==10.3.0.86 in /usr/local/lib/python3.12/dist-packages (from torch==2.2.2+cu118) (10.3.0.86)\n",
            "Requirement already satisfied: nvidia-cusolver-cu11==11.4.1.48 in /usr/local/lib/python3.12/dist-packages (from torch==2.2.2+cu118) (11.4.1.48)\n",
            "Requirement already satisfied: nvidia-cusparse-cu11==11.7.5.86 in /usr/local/lib/python3.12/dist-packages (from torch==2.2.2+cu118) (11.7.5.86)\n",
            "Requirement already satisfied: nvidia-nccl-cu11==2.19.3 in /usr/local/lib/python3.12/dist-packages (from torch==2.2.2+cu118) (2.19.3)\n",
            "Requirement already satisfied: nvidia-nvtx-cu11==11.8.86 in /usr/local/lib/python3.12/dist-packages (from torch==2.2.2+cu118) (11.8.86)\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.12/dist-packages (from torchvision==0.17.2+cu118) (1.26.4)\n",
            "Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in /usr/local/lib/python3.12/dist-packages (from torchvision==0.17.2+cu118) (11.3.0)\n",
            "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.12/dist-packages (from jinja2->torch==2.2.2+cu118) (3.0.3)\n",
            "Requirement already satisfied: mpmath<1.4,>=1.1.0 in /usr/local/lib/python3.12/dist-packages (from sympy->torch==2.2.2+cu118) (1.3.0)\n",
            "Installing collected packages: torch, torchvision, torchaudio\n",
            "Successfully installed torch-2.2.2+cu118 torchaudio-2.2.2+cu118 torchvision-0.17.2+cu118\n"
          ]
        },
        {
          "data": {
            "application/vnd.colab-display-data+json": {
              "id": "ba1a54ed581d4afa9240431f8f1cebaa",
              "pip_warning": {
                "packages": [
                  "torch",
                  "torchaudio",
                  "torchgen",
                  "torchvision",
                  "torio"
                ]
              }
            }
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "!pip install torch==2.2.2+cu118 torchvision==0.17.2+cu118 torchaudio==2.2.2+cu118 \\\n",
        "  -f https://download.pytorch.org/whl/torch_stable.html\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "Ccx3BmVRAOnO",
        "outputId": "61ce97bd-2ae0-4bf4-9db0-fbd933b93292"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Requirement already satisfied: numpy==1.26.4 in /usr/local/lib/python3.12/dist-packages (1.26.4)\n",
            "Collecting scipy==1.11.4\n",
            "  Downloading scipy-1.11.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (60 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m60.4/60.4 kB\u001b[0m \u001b[31m3.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting scikit-learn==1.3.2\n",
            "  Downloading scikit_learn-1.3.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (11 kB)\n",
            "Requirement already satisfied: pytorch-lightning==2.1.3 in /usr/local/lib/python3.12/dist-packages (2.1.3)\n",
            "Requirement already satisfied: einops==0.7.0 in /usr/local/lib/python3.12/dist-packages (0.7.0)\n",
            "Requirement already satisfied: omegaconf==2.3.0 in /usr/local/lib/python3.12/dist-packages (2.3.0)\n",
            "Collecting pyannote.core==5.0.0\n",
            "  Downloading pyannote.core-5.0.0-py3-none-any.whl.metadata (1.4 kB)\n",
            "Collecting pyannote.database==5.1.3\n",
            "  Downloading pyannote.database-5.1.3-py3-none-any.whl.metadata (1.1 kB)\n",
            "Requirement already satisfied: pyannote.audio==3.1.1 in /usr/local/lib/python3.12/dist-packages (3.1.1)\n",
            "Requirement already satisfied: speechbrain==0.5.16 in /usr/local/lib/python3.12/dist-packages (0.5.16)\n",
            "Requirement already satisfied: librosa==0.10.1 in /usr/local/lib/python3.12/dist-packages (0.10.1)\n",
            "Requirement already satisfied: soundfile==0.12.1 in /usr/local/lib/python3.12/dist-packages (0.12.1)\n",
            "Requirement already satisfied: joblib>=1.1.1 in /usr/local/lib/python3.12/dist-packages (from scikit-learn==1.3.2) (1.5.3)\n",
            "Requirement already satisfied: threadpoolctl>=2.0.0 in /usr/local/lib/python3.12/dist-packages (from scikit-learn==1.3.2) (3.6.0)\n",
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            "Requirement already satisfied: nvidia-cuda-runtime-cu11==11.8.89 in /usr/local/lib/python3.12/dist-packages (from torch>=1.12.0->pytorch-lightning==2.1.3) (11.8.89)\n",
            "Requirement already satisfied: nvidia-cuda-cupti-cu11==11.8.87 in /usr/local/lib/python3.12/dist-packages (from torch>=1.12.0->pytorch-lightning==2.1.3) (11.8.87)\n",
            "Requirement already satisfied: nvidia-cudnn-cu11==8.7.0.84 in /usr/local/lib/python3.12/dist-packages (from torch>=1.12.0->pytorch-lightning==2.1.3) (8.7.0.84)\n",
            "Requirement already satisfied: nvidia-cublas-cu11==11.11.3.6 in /usr/local/lib/python3.12/dist-packages (from torch>=1.12.0->pytorch-lightning==2.1.3) (11.11.3.6)\n",
            "Requirement already satisfied: nvidia-cufft-cu11==10.9.0.58 in /usr/local/lib/python3.12/dist-packages (from torch>=1.12.0->pytorch-lightning==2.1.3) (10.9.0.58)\n",
            "Requirement already satisfied: nvidia-curand-cu11==10.3.0.86 in /usr/local/lib/python3.12/dist-packages (from torch>=1.12.0->pytorch-lightning==2.1.3) (10.3.0.86)\n",
            "Requirement already satisfied: nvidia-cusolver-cu11==11.4.1.48 in /usr/local/lib/python3.12/dist-packages (from torch>=1.12.0->pytorch-lightning==2.1.3) (11.4.1.48)\n",
            "Requirement already satisfied: nvidia-cusparse-cu11==11.7.5.86 in /usr/local/lib/python3.12/dist-packages (from torch>=1.12.0->pytorch-lightning==2.1.3) (11.7.5.86)\n",
            "Requirement already satisfied: nvidia-nccl-cu11==2.19.3 in /usr/local/lib/python3.12/dist-packages (from torch>=1.12.0->pytorch-lightning==2.1.3) (2.19.3)\n",
            "Requirement already satisfied: nvidia-nvtx-cu11==11.8.86 in /usr/local/lib/python3.12/dist-packages (from torch>=1.12.0->pytorch-lightning==2.1.3) (11.8.86)\n",
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            "Requirement already satisfied: aiosignal>=1.4.0 in /usr/local/lib/python3.12/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]>=2022.5.0->pytorch-lightning==2.1.3) (1.4.0)\n",
            "Requirement already satisfied: attrs>=17.3.0 in /usr/local/lib/python3.12/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]>=2022.5.0->pytorch-lightning==2.1.3) (25.4.0)\n",
            "Requirement already satisfied: frozenlist>=1.1.1 in /usr/local/lib/python3.12/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]>=2022.5.0->pytorch-lightning==2.1.3) (1.8.0)\n",
            "Requirement already satisfied: multidict<7.0,>=4.5 in /usr/local/lib/python3.12/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]>=2022.5.0->pytorch-lightning==2.1.3) (6.7.0)\n",
            "Requirement already satisfied: propcache>=0.2.0 in /usr/local/lib/python3.12/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]>=2022.5.0->pytorch-lightning==2.1.3) (0.4.1)\n",
            "Requirement already satisfied: yarl<2.0,>=1.17.0 in /usr/local/lib/python3.12/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]>=2022.5.0->pytorch-lightning==2.1.3) (1.22.0)\n",
            "Requirement already satisfied: mdurl~=0.1 in /usr/local/lib/python3.12/dist-packages (from markdown-it-py>=2.2.0->rich>=12.0.0->pyannote.audio==3.1.1) (0.1.2)\n",
            "Requirement already satisfied: contourpy>=1.0.1 in /usr/local/lib/python3.12/dist-packages (from matplotlib>=2.0.0->pyannote.metrics>=3.2->pyannote.audio==3.1.1) (1.3.3)\n",
            "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.12/dist-packages (from matplotlib>=2.0.0->pyannote.metrics>=3.2->pyannote.audio==3.1.1) (0.12.1)\n",
            "Requirement already satisfied: fonttools>=4.22.0 in /usr/local/lib/python3.12/dist-packages (from matplotlib>=2.0.0->pyannote.metrics>=3.2->pyannote.audio==3.1.1) (4.61.1)\n",
            "Requirement already satisfied: kiwisolver>=1.3.1 in /usr/local/lib/python3.12/dist-packages (from matplotlib>=2.0.0->pyannote.metrics>=3.2->pyannote.audio==3.1.1) (1.4.9)\n",
            "Requirement already satisfied: pillow>=8 in /usr/local/lib/python3.12/dist-packages (from matplotlib>=2.0.0->pyannote.metrics>=3.2->pyannote.audio==3.1.1) (11.3.0)\n",
            "Requirement already satisfied: pyparsing>=2.3.1 in /usr/local/lib/python3.12/dist-packages (from matplotlib>=2.0.0->pyannote.metrics>=3.2->pyannote.audio==3.1.1) (3.3.1)\n",
            "Requirement already satisfied: alembic>=1.5.0 in /usr/local/lib/python3.12/dist-packages (from optuna>=3.1->pyannote.pipeline>=3.0.1->pyannote.audio==3.1.1) (1.18.1)\n",
            "Requirement already satisfied: colorlog in /usr/local/lib/python3.12/dist-packages (from optuna>=3.1->pyannote.pipeline>=3.0.1->pyannote.audio==3.1.1) (6.10.1)\n",
            "Requirement already satisfied: sqlalchemy>=1.4.2 in /usr/local/lib/python3.12/dist-packages (from optuna>=3.1->pyannote.pipeline>=3.0.1->pyannote.audio==3.1.1) (2.0.45)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.12/dist-packages (from python-dateutil>=2.8.2->pandas>=0.19->pyannote.database==5.1.3) (1.17.0)\n",
            "Requirement already satisfied: charset_normalizer<4,>=2 in /usr/local/lib/python3.12/dist-packages (from requests->huggingface-hub>=0.13.0->pyannote.audio==3.1.1) (3.4.4)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.12/dist-packages (from requests->huggingface-hub>=0.13.0->pyannote.audio==3.1.1) (3.11)\n",
            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.12/dist-packages (from requests->huggingface-hub>=0.13.0->pyannote.audio==3.1.1) (2.5.0)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.12/dist-packages (from requests->huggingface-hub>=0.13.0->pyannote.audio==3.1.1) (2026.1.4)\n",
            "Requirement already satisfied: ruamel.yaml.clib>=0.2.15 in /usr/local/lib/python3.12/dist-packages (from ruamel.yaml<0.19.0,>=0.17.28->hyperpyyaml->speechbrain==0.5.16) (0.2.15)\n",
            "Requirement already satisfied: mpmath<1.4,>=1.1.0 in /usr/local/lib/python3.12/dist-packages (from sympy>=1.1->pyannote.metrics>=3.2->pyannote.audio==3.1.1) (1.3.0)\n",
            "Requirement already satisfied: primePy>=1.3 in /usr/local/lib/python3.12/dist-packages (from torch-pitch-shift>=1.2.2->torch-audiomentations>=0.11.0->pyannote.audio==3.1.1) (1.3)\n",
            "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.12/dist-packages (from jinja2->torch>=1.12.0->pytorch-lightning==2.1.3) (3.0.3)\n",
            "Requirement already satisfied: Mako in /usr/local/lib/python3.12/dist-packages (from alembic>=1.5.0->optuna>=3.1->pyannote.pipeline>=3.0.1->pyannote.audio==3.1.1) (1.3.10)\n",
            "Requirement already satisfied: greenlet>=1 in /usr/local/lib/python3.12/dist-packages (from sqlalchemy>=1.4.2->optuna>=3.1->pyannote.pipeline>=3.0.1->pyannote.audio==3.1.1) (3.3.0)\n",
            "Downloading scipy-1.11.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (35.8 MB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m35.8/35.8 MB\u001b[0m \u001b[31m63.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hDownloading scikit_learn-1.3.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (10.8 MB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m10.8/10.8 MB\u001b[0m \u001b[31m143.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hDownloading pyannote.core-5.0.0-py3-none-any.whl (58 kB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m58.5/58.5 kB\u001b[0m \u001b[31m6.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hDownloading pyannote.database-5.1.3-py3-none-any.whl (48 kB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m48.1/48.1 kB\u001b[0m \u001b[31m5.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hInstalling collected packages: scipy, scikit-learn, pyannote.core, pyannote.database\n",
            "  Attempting uninstall: scipy\n",
            "    Found existing installation: scipy 1.17.0\n",
            "    Uninstalling scipy-1.17.0:\n",
            "      Successfully uninstalled scipy-1.17.0\n",
            "  Attempting uninstall: scikit-learn\n",
            "    Found existing installation: scikit-learn 1.8.0\n",
            "    Uninstalling scikit-learn-1.8.0:\n",
            "      Successfully uninstalled scikit-learn-1.8.0\n",
            "  Attempting uninstall: pyannote.core\n",
            "    Found existing installation: pyannote-core 6.0.1\n",
            "    Uninstalling pyannote-core-6.0.1:\n",
            "      Successfully uninstalled pyannote-core-6.0.1\n",
            "  Attempting uninstall: pyannote.database\n",
            "    Found existing installation: pyannote-database 6.1.1\n",
            "    Uninstalling pyannote-database-6.1.1:\n",
            "      Successfully uninstalled pyannote-database-6.1.1\n",
            "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
            "mapclassify 2.10.0 requires scikit-learn>=1.4, but you have scikit-learn 1.3.2 which is incompatible.\n",
            "mapclassify 2.10.0 requires scipy>=1.12, but you have scipy 1.11.4 which is incompatible.\n",
            "tsfresh 0.21.1 requires scipy>=1.14.0; python_version >= \"3.10\", but you have scipy 1.11.4 which is incompatible.\n",
            "pytensor 2.36.3 requires numpy>=2.0, but you have numpy 1.26.4 which is incompatible.\n",
            "spopt 0.7.0 requires scikit-learn>=1.4.0, but you have scikit-learn 1.3.2 which is incompatible.\n",
            "spopt 0.7.0 requires scipy>=1.12.0, but you have scipy 1.11.4 which is incompatible.\n",
            "cuml-cu12 25.10.0 requires scikit-learn>=1.4, but you have scikit-learn 1.3.2 which is incompatible.\n",
            "shap 0.50.0 requires numpy>=2, but you have numpy 1.26.4 which is incompatible.\n",
            "jax 0.7.2 requires numpy>=2.0, but you have numpy 1.26.4 which is incompatible.\n",
            "jax 0.7.2 requires scipy>=1.13, but you have scipy 1.11.4 which is incompatible.\n",
            "libpysal 4.14.1 requires scikit-learn>=1.4.0, but you have scikit-learn 1.3.2 which is incompatible.\n",
            "libpysal 4.14.1 requires scipy>=1.12.0, but you have scipy 1.11.4 which is incompatible.\n",
            "imbalanced-learn 0.14.1 requires scikit-learn<2,>=1.4.2, but you have scikit-learn 1.3.2 which is incompatible.\n",
            "access 1.1.10.post3 requires scipy>=1.14.1, but you have scipy 1.11.4 which is incompatible.\n",
            "tobler 0.13.0 requires numpy>=2.0, but you have numpy 1.26.4 which is incompatible.\n",
            "tobler 0.13.0 requires scipy>=1.13, but you have scipy 1.11.4 which is incompatible.\n",
            "hdbscan 0.8.41 requires scikit-learn>=1.6, but you have scikit-learn 1.3.2 which is incompatible.\n",
            "esda 2.8.1 requires scikit-learn>=1.4, but you have scikit-learn 1.3.2 which is incompatible.\n",
            "esda 2.8.1 requires scipy>=1.12, but you have scipy 1.11.4 which is incompatible.\n",
            "inequality 1.1.2 requires scipy>=1.12, but you have scipy 1.11.4 which is incompatible.\n",
            "umap-learn 0.5.11 requires scikit-learn>=1.6, but you have scikit-learn 1.3.2 which is incompatible.\n",
            "giddy 2.3.8 requires scipy>=1.12, but you have scipy 1.11.4 which is incompatible.\n",
            "jaxlib 0.7.2 requires numpy>=2.0, but you have numpy 1.26.4 which is incompatible.\n",
            "jaxlib 0.7.2 requires scipy>=1.13, but you have scipy 1.11.4 which is incompatible.\u001b[0m\u001b[31m\n",
            "\u001b[0mSuccessfully installed pyannote.core-5.0.0 pyannote.database-5.1.3 scikit-learn-1.3.2 scipy-1.11.4\n"
          ]
        },
        {
          "data": {
            "application/vnd.colab-display-data+json": {
              "id": "579b7238000242d6985dfb6719b84541",
              "pip_warning": {
                "packages": [
                  "pyannote",
                  "scipy",
                  "sklearn"
                ]
              }
            }
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "!pip install numpy==1.26.4 \\\n",
        "             scipy==1.11.4 \\\n",
        "             scikit-learn==1.3.2 \\\n",
        "             pytorch-lightning==2.1.3 \\\n",
        "             einops==0.7.0 \\\n",
        "             omegaconf==2.3.0 \\\n",
        "             pyannote.core==5.0.0 \\\n",
        "             pyannote.database==5.1.3 \\\n",
        "             pyannote.audio==3.1.1 \\\n",
        "             speechbrain==0.5.16 \\\n",
        "             librosa==0.10.1 \\\n",
        "             soundfile==0.12.1"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "4Ta9VRgYAbXB",
        "outputId": "0123cb4d-89f6-46de-da90-6abd7757ec13"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.12/dist-packages/pyannote/audio/core/io.py:43: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call.\n",
            "  torchaudio.set_audio_backend(\"soundfile\")\n"
          ]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "torch: 2.2.2+cu118\n",
            "torchvision: 0.17.2+cu118\n",
            "torchaudio: 2.2.2+cu118\n",
            "numpy: 1.26.4\n",
            "pyannote: 3.1.1\n"
          ]
        }
      ],
      "source": [
        "import torch, torchaudio, torchvision, numpy, pyannote.audio\n",
        "\n",
        "print(\"torch:\", torch.__version__)\n",
        "print(\"torchvision:\", torchvision.__version__)\n",
        "print(\"torchaudio:\", torchaudio.__version__)\n",
        "print(\"numpy:\", numpy.__version__)\n",
        "print(\"pyannote:\", pyannote.audio.__version__)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 17,
          "referenced_widgets": [
            "00344751ccd045daaf82c9312ca4de43",
            "8fccae8f7c6446beacf798e3d0e8759c"
          ]
        },
        "id": "lDqn9OMMA6T9",
        "outputId": "771f66e2-8242-4248-cd97-c652f9aba6f8"
      },
      "outputs": [
        {
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "00344751ccd045daaf82c9312ca4de43",
              "version_major": 2,
              "version_minor": 0
            },
            "text/plain": [
              "VBox(children=(HTML(value='<center> <img\\nsrc=https://huggingface.co/front/assets/huggingface_logo-noborder.sv…"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "from huggingface_hub import login\n",
        "login()\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "b8MHpCbNBJNO",
        "outputId": "4bb980b3-d5f6-4066-faa5-be097d5279dd"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "aisvi.wav  sample_data\n"
          ]
        }
      ],
      "source": [
        "!ls"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
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        "colab": {
          "base_uri": "https://localhost:8080/",
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            "9e09343cc40f4962a6a2bbc8afb9d1da",
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        },
        "id": "4Tx7itKiB_QF",
        "outputId": "c148695d-a7cd-4aff-83e1-d0fcd8e77151"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.12/dist-packages/huggingface_hub/utils/_auth.py:94: UserWarning: \n",
            "The secret `HF_TOKEN` does not exist in your Colab secrets.\n",
            "To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n",
            "You will be able to reuse this secret in all of your notebooks.\n",
            "Please note that authentication is recommended but still optional to access public models or datasets.\n",
            "  warnings.warn(\n"
          ]
        },
        {
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "0a431cfc1c1546d79719773d64d59fb5",
              "version_major": 2,
              "version_minor": 0
            },
            "text/plain": [
              "config.yaml:   0%|          | 0.00/469 [00:00<?, ?B/s]"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.12/dist-packages/pyannote/audio/pipelines/speaker_verification.py:43: UserWarning: torchaudio._backend.get_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call.\n",
            "  backend = torchaudio.get_audio_backend()\n",
            "/usr/local/lib/python3.12/dist-packages/pyannote/audio/pipelines/speaker_verification.py:53: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call.\n",
            "  torchaudio.set_audio_backend(backend)\n",
            "/usr/local/lib/python3.12/dist-packages/pyannote/audio/tasks/segmentation/mixins.py:37: UserWarning: `torchaudio.backend.common.AudioMetaData` has been moved to `torchaudio.AudioMetaData`. Please update the import path.\n",
            "  from torchaudio.backend.common import AudioMetaData\n"
          ]
        },
        {
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "ba247826b5fb4043843dbe549db4fe29",
              "version_major": 2,
              "version_minor": 0
            },
            "text/plain": [
              "pytorch_model.bin:   0%|          | 0.00/5.91M [00:00<?, ?B/s]"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "8b039b12f07c4710b060642a094795d8",
              "version_major": 2,
              "version_minor": 0
            },
            "text/plain": [
              "config.yaml:   0%|          | 0.00/399 [00:00<?, ?B/s]"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "4e4c423bd32344cfa0e237176fb4a348",
              "version_major": 2,
              "version_minor": 0
            },
            "text/plain": [
              "pytorch_model.bin:   0%|          | 0.00/26.6M [00:00<?, ?B/s]"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "abb96fa5691f44d78be1946e4e112ff1",
              "version_major": 2,
              "version_minor": 0
            },
            "text/plain": [
              "config.yaml:   0%|          | 0.00/221 [00:00<?, ?B/s]"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Pipeline loaded successfully ✅\n"
          ]
        }
      ],
      "source": [
        "from pyannote.audio import Pipeline\n",
        "\n",
        "pipeline = Pipeline.from_pretrained(\n",
        "    \"pyannote/speaker-diarization-3.1\"\n",
        ")\n",
        "\n",
        "print(\"Pipeline loaded successfully ✅\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "background_save": true,
          "base_uri": "https://localhost:8080/"
        },
        "id": "Rnkl-bIYCn5o",
        "outputId": "aab7040d-140d-4557-a162-bed4d157e8bf"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.12/dist-packages/pyannote/audio/models/blocks/pooling.py:104: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
            "  std = sequences.std(dim=-1, correction=1)\n"
          ]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "SPEAKER_05: 0.01s --> 15.63s\n",
            "SPEAKER_00: 14.68s --> 15.00s\n",
            "SPEAKER_05: 15.65s --> 16.04s\n",
            "SPEAKER_00: 20.91s --> 21.23s\n",
            "SPEAKER_05: 21.23s --> 31.35s\n",
            "SPEAKER_04: 31.35s --> 35.17s\n",
            "SPEAKER_05: 35.46s --> 39.28s\n",
            "SPEAKER_06: 39.53s --> 40.72s\n",
            "SPEAKER_05: 41.11s --> 59.23s\n",
            "SPEAKER_06: 41.76s --> 41.99s\n",
            "SPEAKER_06: 59.23s --> 60.79s\n",
            "SPEAKER_06: 61.26s --> 62.06s\n",
            "SPEAKER_06: 62.33s --> 65.14s\n",
            "SPEAKER_06: 66.19s --> 67.21s\n",
            "SPEAKER_06: 67.36s --> 69.01s\n",
            "SPEAKER_05: 70.03s --> 74.00s\n",
            "SPEAKER_04: 74.00s --> 74.22s\n",
            "SPEAKER_05: 74.22s --> 74.24s\n",
            "SPEAKER_04: 76.19s --> 77.02s\n",
            "SPEAKER_04: 77.92s --> 79.65s\n",
            "SPEAKER_04: 80.30s --> 81.47s\n",
            "SPEAKER_04: 81.72s --> 85.14s\n",
            "SPEAKER_07: 85.39s --> 86.63s\n",
            "SPEAKER_07: 86.85s --> 89.99s\n",
            "SPEAKER_07: 91.20s --> 93.44s\n",
            "SPEAKER_05: 93.98s --> 102.30s\n",
            "SPEAKER_03: 102.56s --> 109.01s\n",
            "SPEAKER_05: 109.01s --> 114.95s\n",
            "SPEAKER_01: 115.14s --> 129.31s\n",
            "SPEAKER_05: 129.45s --> 138.02s\n",
            "SPEAKER_05: 138.51s --> 149.70s\n",
            "SPEAKER_05: 150.30s --> 166.15s\n",
            "SPEAKER_00: 166.15s --> 171.15s\n",
            "SPEAKER_00: 171.25s --> 173.83s\n",
            "SPEAKER_05: 173.88s --> 185.05s\n",
            "SPEAKER_05: 185.70s --> 200.70s\n",
            "SPEAKER_05: 201.55s --> 221.16s\n",
            "SPEAKER_02: 221.23s --> 248.84s\n",
            "SPEAKER_05: 249.57s --> 259.63s\n",
            "SPEAKER_02: 259.63s --> 329.43s\n",
            "SPEAKER_05: 329.53s --> 336.48s\n",
            "SPEAKER_02: 336.48s --> 386.54s\n",
            "SPEAKER_02: 386.78s --> 395.73s\n",
            "SPEAKER_05: 395.73s --> 408.41s\n",
            "SPEAKER_02: 408.45s --> 464.92s\n",
            "SPEAKER_05: 465.41s --> 468.45s\n",
            "SPEAKER_02: 468.45s --> 468.82s\n"
          ]
        }
      ],
      "source": [
        "diarization = pipeline(\"/content/aisvi.wav\")\n",
        "\n",
        "for turn, _, speaker in diarization.itertracks(yield_label=True):\n",
        "    print(f\"{speaker}: {turn.start:.2f}s --> {turn.end:.2f}s\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "4MHy2ZY-abew"
      },
      "outputs": [],
      "source": []
    }
  ],
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