Updated inference notebook.

notebooks/piper_inference_(ckpt).ipynb

@@ -5,7 +5,7 @@
     "colab": {
       "provenance": [],
       "gpuType": "T4",
-      "authorship_tag": "ABX9TyMcevzeVyewWF1ZHKzBu3CB",
+      "authorship_tag": "ABX9TyNju0yzRK8wgAS+WgyeTEAl",
       "include_colab_link": true
     },
     "kernelspec": {
@@ -88,12 +88,13 @@
         "    playaudio(\"installing\")\n",
         "!git clone -q https://github.com/rmcpantoja/piper\n",
         "%cd /content/piper/src/python\n",
-        "!pip install -q -r requirements.txt\n",
+        "#!pip install -q -r requirements.txt\n",
+        "!pip install -q cython>=0.29.0 piper-phonemize==1.1.0 librosa>=0.9.2 numpy>=1.19.0 onnxruntime>=1.11.0 pytorch-lightning==1.7.0 torch==1.11.0\n",
         "!pip install -q torchtext==0.12.0 torchvision==0.12.0\n",
+        "#!pip install -q torchtext==0.14.1 torchvision==0.14.1\n",
         "# fixing recent compativility isswes:\n",
         "!pip install -q torchaudio==0.11.0 torchmetrics==0.11.4\n",
         "!bash build_monotonic_align.sh\n",
-        "!apt-get install -q espeak-ng\n",
         "import os\n",
         "if not os.path.exists(\"/content/piper/src/python/lng\"):\n",
         "  !cp -r \"/content/piper/notebooks/lng\" /content/piper/src/python/lng\n",
@@ -190,6 +191,8 @@
         "import logging\n",
         "import sys\n",
         "from pathlib import Path\n",
+        "from enum import Enum\n",
+        "from typing import Iterable, List, Optional, Union\n",
         "import torch\n",
         "from piper_train.vits.lightning import VitsModel\n",
         "from piper_train.vits.utils import audio_float_to_int16\n",
@@ -198,8 +201,7 @@
         "import glob\n",
         "import ipywidgets as widgets\n",
         "from IPython.display import display, Audio, Markdown, clear_output\n",
-        "from espeak_phonemizer import Phonemizer\n",
+        "from piper_phonemize import phonemize_codepoints, phonemize_espeak, tashkeel_run\n",
-        "from piper_train import phonemize\n",
         "\n",
         "_LOGGER = logging.getLogger(\"piper_train.infer_onnx\")\n",
         "\n",
@@ -382,12 +384,44 @@
         "        config = json.load(file)\n",
         "    return config\n",
         "\n",
+        "PAD = \"_\"  # padding (0)\n",
+        "BOS = \"^\"  # beginning of sentence\n",
+        "EOS = \"$\"  # end of sentence\n",
+        "\n",
+        "class PhonemeType(str, Enum):\n",
+        "    ESPEAK = \"espeak\"\n",
+        "    TEXT = \"text\"\n",
+        "\n",
+        "def phonemize(config, text: str) -> List[List[str]]:\n",
+        "    \"\"\"Text to phonemes grouped by sentence.\"\"\"\n",
+        "    if config[\"phoneme_type\"] == PhonemeType.ESPEAK:\n",
+        "        if config[\"espeak\"][\"voice\"] == \"ar\":\n",
+        "            # Arabic diacritization\n",
+        "            # https://github.com/mush42/libtashkeel/\n",
+        "            text = tashkeel_run(text)\n",
+        "        return phonemize_espeak(text, config[\"espeak\"][\"voice\"])\n",
+        "    if config[\"phoneme_type\"] == PhonemeType.TEXT:\n",
+        "        return phonemize_codepoints(text)\n",
+        "    raise ValueError(f\"Unexpected phoneme type: {self.config.phoneme_type}\")\n",
+        "\n",
+        "def phonemes_to_ids(config, phonemes: List[str]) -> List[int]:\n",
+        "    \"\"\"Phonemes to ids.\"\"\"\n",
+        "    id_map = config[\"phoneme_id_map\"]\n",
+        "    ids: List[int] = list(id_map[BOS])\n",
+        "    for phoneme in phonemes:\n",
+        "        if phoneme not in id_map:\n",
+        "            print(\"Missing phoneme from id map: %s\", phoneme)\n",
+        "            continue\n",
+        "        ids.extend(id_map[phoneme])\n",
+        "        ids.extend(id_map[PAD])\n",
+        "    ids.extend(id_map[EOS])\n",
+        "    return ids\n",
+        "\n",
         "def inferencing(model, config, sid, line, length_scale = 1, noise_scale = 0.667, noise_scale_w = 0.8, auto_play=True):\n",
-        "    espeak_voice = config[\"espeak\"][\"voice\"]\n",
+        "    audios = []\n",
-        "    phonemizer = Phonemizer(default_voice=espeak_voice)\n",
+        "    text = phonemize(config, line)\n",
-        "    phonemes = phonemize.phonemize(line, phonemizer)\n",
+        "    for phonemes in text:\n",
-        "    ids = phonemize.phonemes_to_ids(phonemes)\n",
+        "        phoneme_ids = phonemes_to_ids(config, phonemes)\n",
-        "    phoneme_ids = ids\n",
         "        num_speakers = config[\"num_speakers\"]\n",
         "        if num_speakers == 1:\n",
         "            speaker_id = None # for now\n",
@@ -408,9 +442,11 @@
         "            sid=sid\n",
         "        ).detach().numpy()\n",
         "        audio = audio_float_to_int16(audio.squeeze())\n",
+        "        audios.append(audio)\n",
+        "    merged_audio = np.concatenate(audios)\n",
         "    sample_rate = config[\"audio\"][\"sample_rate\"]\n",
         "    display(Markdown(f\"{line}\"))\n",
-        "    display(Audio(audio, rate=sample_rate, autoplay=auto_play))\n",
+        "    display(Audio(merged_audio, rate=sample_rate, autoplay=auto_play))\n",
         "\n",
         "def denoise(\n",
         "    audio: np.ndarray, bias_spec: np.ndarray, denoiser_strength: float\n",