typos fix

Author: pavel-esir

notebooks/284-openvoice/284-openvoice.ipynb

@@ -207,7 +207,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "There are 2 models in OpenVoice: first one is responsible for speach generation `BaseSpeakerTTS` and the second one `ToneColorConverter` imposes arbitrary voice tone to the original speech. To convert to OpenVino IR format first we need to get acceptable `torch.nn.Module` object. Both ToneColorConverter, BaseSpeakerTTS instead of using `self.forward` as the main entry point use custom `infer` and `convert_voice` methods respectively, therefore need to wrap them with a custom class that is inherited from torch.nn.Module. \n",
+    "There are 2 models in OpenVoice: first one is responsible for speech generation `BaseSpeakerTTS` and the second one `ToneColorConverter` imposes arbitrary voice tone to the original speech. To convert to OpenVino IR format first we need to get acceptable `torch.nn.Module` object. Both ToneColorConverter, BaseSpeakerTTS instead of using `self.forward` as the main entry point use custom `infer` and `convert_voice` methods respectively, therefore need to wrap them with a custom class that is inherited from torch.nn.Module. \n",
     "\n",
     "<!---\n",
     "# One more reason to make a wrapper is also that these functions use float arguments while only torch.Tensor and tuple of torch.Tensors are acceptable \n",
@@ -217,7 +217,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -237,7 +237,7 @@
     "    \n",
     "class OVOpenVoiceTTS(OVOpenVoiceBase):\n",
     "    \"\"\"\n",
-    "    Constructor of this class accepts BaseSpeakerTTS object for speach generation and wraps it's 'infer' method with forward.\n",
+    "    Constructor of this class accepts BaseSpeakerTTS object for speech generation and wraps it's 'infer' method with forward.\n",
     "    \"\"\"\n",
     "    def get_example_input(self):\n",
     "        stn_tst = self.voice_model.get_text('this is original text', self.voice_model.hps, False)\n",
@@ -366,29 +366,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "e3dc3666c26c432bac345c670fd42c3a",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Dropdown(description='reference voice from which tone color will be copied', options=('demo_speaker0.mp3', 'de…"
-      ]
-     },
-     "execution_count": 11,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "REFERENCE_VOICES_PATH = f'{repo_dir}/resources/'\n",
     "reference_speakers = [\n",
-    "    *[path for path in os.listdir(REFERENCE_VOICES_PATH)  if os.path.splitext(path)[-1] == '.mp3'],\n",
+    "    *[path for path in os.listdir(REFERENCE_VOICES_PATH) if os.path.splitext(path)[-1] == '.mp3'],\n",
     "    'record_manually',\n",
     "    'load_manually',\n",
     "]\n",
@@ -609,8 +593,7 @@
    "outputs": [],
    "source": [
     "if voice_source.value == 'choose_manually':\n",
-    "    upload_orig_voice = widgets.FileUpload(accept=allowed_audio_types, multiple=False, \n",
-    "                                description='audo whose tone will be replaced')\n",
+    "    upload_orig_voice = widgets.FileUpload(accept=allowed_audio_types, multiple=False, description='audo whose tone will be replaced')\n",
     "    display(upload_orig_voice)"
    ]
   },