File size: 7,486 Bytes
45ee559
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "45ea3ef5",
   "metadata": {
    "tags": []
   },
   "source": [
    "# Easy Inferencing with 🐸 TTS ⚑\n",
    "\n",
    "#### You want to quicly synthesize speech using Coqui 🐸 TTS model?\n",
    "\n",
    "πŸ’‘: Grab a pre-trained model and use it to synthesize speech using any speaker voice, including yours! ⚑\n",
    "\n",
    "🐸 TTS comes with a list of pretrained models and speaker voices. You can even start a local demo server that you can open it on your favorite web browser and πŸ—£οΈ .\n",
    "\n",
    "In this notebook, we will: \n",
    "```\n",
    "1. List available pre-trained 🐸 TTS models\n",
    "2. Run a 🐸 TTS model\n",
    "3. Listen to the synthesized wave πŸ“£\n",
    "4. Run multispeaker 🐸 TTS model \n",
    "```\n",
    "So, let's jump right in!\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a1e5c2a5-46eb-42fd-b550-2a052546857e",
   "metadata": {},
   "source": [
    "## Install 🐸 TTS ⬇️"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fa2aec77",
   "metadata": {},
   "outputs": [],
   "source": [
    "! pip install -U pip\n",
    "! pip install TTS"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8c07a273",
   "metadata": {},
   "source": [
    "## βœ… List available pre-trained 🐸 TTS models\n",
    "\n",
    "Coqui 🐸TTS comes with a list of pretrained models for different model types (ex: TTS, vocoder), languages, datasets used for training and architectures. \n",
    "\n",
    "You can either use your own model or the release models under 🐸TTS.\n",
    "\n",
    "Use `tts --list_models` to find out the availble models.\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "608d203f",
   "metadata": {},
   "outputs": [],
   "source": [
    "! tts --list_models"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ed9dd7ab",
   "metadata": {},
   "source": [
    "## βœ… Run a 🐸 TTS model\n",
    "\n",
    "#### **First things first**: Using a release model and default vocoder:\n",
    "\n",
    "You can simply copy the full model name from the list above and use it \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cc9e4608-16ec-4dcd-bd6b-bd10d62286f8",
   "metadata": {},
   "outputs": [],
   "source": [
    "!tts --text \"hello world\" \\\n",
    "--model_name \"tts_models/en/ljspeech/glow-tts\" \\\n",
    "--out_path output.wav\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0ca2cb14-1aba-400e-a219-8ce44d9410be",
   "metadata": {},
   "source": [
    "## πŸ“£ Listen to the synthesized wave πŸ“£"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5fe63ef4-9284-4461-9dda-1ca7483a8f9b",
   "metadata": {},
   "outputs": [],
   "source": [
    "import IPython\n",
    "IPython.display.Audio(\"output.wav\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5e67d178-1ebe-49c7-9a47-0593251bdb96",
   "metadata": {},
   "source": [
    "### **Second things second**:\n",
    "\n",
    "πŸ”Ά A TTS model can be either trained on a single speaker voice or multispeaker voices. This training choice is directly reflected on the inference ability and the available speaker voices that can be used to synthesize speech. \n",
    "\n",
    "πŸ”Ά If you want to run a multispeaker model from the released models list, you can first check the speaker ids using `--list_speaker_idx` flag and use this speaker voice to synthesize speech."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "87b18839-f750-4a61-bbb0-c964acaecab2",
   "metadata": {},
   "outputs": [],
   "source": [
    "# list the possible speaker IDs.\n",
    "!tts --model_name \"tts_models/en/vctk/vits\" \\\n",
    "--list_speaker_idxs \n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c4365a9d-f922-4b14-88b0-d2b22a245b2e",
   "metadata": {},
   "source": [
    "## πŸ’¬ Synthesize speech using speaker ID πŸ’¬"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "52be0403-d13e-4d9b-99c2-c10b85154063",
   "metadata": {},
   "outputs": [],
   "source": [
    "!tts --text \"Trying out specific speaker voice\"\\\n",
    "--out_path spkr-out.wav --model_name \"tts_models/en/vctk/vits\" \\\n",
    "--speaker_idx \"p341\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "894a560a-f9c8-48ce-aaa6-afdf516c01f6",
   "metadata": {},
   "source": [
    "## πŸ“£ Listen to the synthesized speaker specific wave πŸ“£"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ed485b0a-dfd5-4a7e-a571-ebf74bdfc41d",
   "metadata": {},
   "outputs": [],
   "source": [
    "import IPython\n",
    "IPython.display.Audio(\"spkr-out.wav\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "84636a38-097e-4dad-933b-0aeaee650e92",
   "metadata": {},
   "source": [
    "πŸ”Ά If you want to use an external speaker to synthesize speech, you need to supply `--speaker_wav` flag along with an external speaker encoder path and config file, as follows:"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cbdb15fa-123a-4282-a127-87b50dc70365",
   "metadata": {},
   "source": [
    "First we need to get the speaker encoder model, its config and a referece `speaker_wav`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e54f1b13-560c-4fed-bafd-e38ec9712359",
   "metadata": {},
   "outputs": [],
   "source": [
    "!wget https://github.com/coqui-ai/TTS/releases/download/speaker_encoder_model/config_se.json\n",
    "!wget https://github.com/coqui-ai/TTS/releases/download/speaker_encoder_model/model_se.pth.tar\n",
    "!wget https://github.com/coqui-ai/TTS/raw/speaker_encoder_model/tests/data/ljspeech/wavs/LJ001-0001.wav"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6dac1912-5054-4a68-8357-6d20fd99cb10",
   "metadata": {},
   "outputs": [],
   "source": [
    "!tts --model_name tts_models/multilingual/multi-dataset/your_tts \\\n",
    "--encoder_path model_se.pth.tar \\\n",
    "--encoder_config config_se.json \\\n",
    "--speaker_wav LJ001-0001.wav \\\n",
    "--text \"Are we not allowed to dim the lights so people can see that a bit better?\"\\\n",
    "--out_path spkr-out.wav \\\n",
    "--language_idx \"en\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "92ddce58-8aca-4f69-84c3-645ae1b12e7d",
   "metadata": {},
   "source": [
    "## πŸ“£ Listen to the synthesized speaker specific wave πŸ“£"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cc889adc-9c71-4232-8e85-bfc8f76476f4",
   "metadata": {},
   "outputs": [],
   "source": [
    "import IPython\n",
    "IPython.display.Audio(\"spkr-out.wav\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "29101d01-0b01-4153-a216-5dae415a5dd6",
   "metadata": {},
   "source": [
    "## πŸŽ‰ Congratulations! πŸŽ‰ You now know how to use a TTS model to synthesize speech! \n",
    "Follow up with the next tutorials to learn more adnavced material."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}