{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Generate speech from long text" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "\n", "This tutorial is available as an IPython notebook at [malaya-speech/example/tts-long-text](https://github.com/huseinzol05/malaya-speech/tree/master/example/tts-long-text).\n", " \n", "
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "\n", "This module is not language independent, so it not save to use on different languages. Pretrained models trained on hyperlocal languages.\n", " \n", "
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "\n", "This is an application of malaya-speech Pipeline, read more about malaya-speech Pipeline at [malaya-speech/example/pipeline](https://github.com/huseinzol05/malaya-speech/tree/master/example/pipeline).\n", " \n", "
" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import malaya_speech\n", "import numpy as np\n", "from malaya_speech import Pipeline\n", "import matplotlib.pyplot as plt\n", "import IPython.display as ipd" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### TTS model\n", "\n", "We are going to use FastSpeech2, really fast and accurate." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### List available FastSpeech2" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Size (MB)Quantized Size (MB)Combined lossUnderstand punctuationIs lowercase
male12531.71.8TrueTrue
female12531.71.932TrueTrue
husein12531.70.5832TrueTrue
haqkiem12531.70.5663TrueTrue
female-singlish12531.70.5112TrueTrue
yasmin12531.70.7212TrueFalse
yasmin-small32.98.50.7994TrueFalse
osman12531.70.7341TrueFalse
osman-small32.98.50.8182TrueFalse
\n", "
" ], "text/plain": [ " Size (MB) Quantized Size (MB) Combined loss \\\n", "male 125 31.7 1.8 \n", "female 125 31.7 1.932 \n", "husein 125 31.7 0.5832 \n", "haqkiem 125 31.7 0.5663 \n", "female-singlish 125 31.7 0.5112 \n", "yasmin 125 31.7 0.7212 \n", "yasmin-small 32.9 8.5 0.7994 \n", "osman 125 31.7 0.7341 \n", "osman-small 32.9 8.5 0.8182 \n", "\n", " Understand punctuation Is lowercase \n", "male True True \n", "female True True \n", "husein True True \n", "haqkiem True True \n", "female-singlish True True \n", "yasmin True False \n", "yasmin-small True False \n", "osman True False \n", "osman-small True False " ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "malaya_speech.tts.available_fastspeech2()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "`husein` voice contributed by [Husein-Zolkepli](https://www.linkedin.com/in/husein-zolkepli/), recorded using low-end microphone in a small room with no reverberation absorber.\n", "\n", "`haqkiem` voice contributed by [Haqkiem Hamdan](https://www.linkedin.com/in/haqkiem-daim/), recorded using high-end microphone in an audio studio.\n", "\n", "`female-singlish` voice contributed by [SG National Speech Corpus](https://www.imda.gov.sg/programme-listing/digital-services-lab/national-speech-corpus), recorded using high-end microphone in an audio studio." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Load FastSpeech2 model\n", "\n", "Fastspeech2 use text normalizer from Malaya, https://malaya.readthedocs.io/en/latest/load-normalizer.html#Load-normalizer,\n", "\n", "Make sure you install Malaya version > 4.0 to make it works, **to get better speech synthesis, make sure Malaya version > 4.7.5**,\n", "\n", "```bash\n", "pip install malaya -U\n", "```\n", "\n", "Read more about FastSpeech2 Text-to-Speech at https://malaya-speech.readthedocs.io/en/latest/tts-fastspeech2-model.html" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [], "source": [ "yasmin = malaya_speech.tts.fastspeech2(model = 'yasmin')\n", "osman = malaya_speech.tts.fastspeech2(model = 'osman')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "`yasmin` and `osman` are the best speakers for long text TTS task." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Load Vocoder model\n", "\n", "I will use Universal MelGAN in this example, better results, but slower than individual vocoders." ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "universal_melgan = malaya_speech.vocoder.melgan(model = 'universal-1024')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Load sentence tokenizer\n", "\n", "We are going to use Malaya sentence tokenizer, can split even for very complex pattern, https://malaya.readthedocs.io/en/latest/load-tokenizer.html#Sentence-tokenizer\n", "\n", "Make sure installed Malaya first,\n", "\n", "```bash\n", "pip3 install malaya\n", "```" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "import malaya" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "long_text = \"\"\"\n", "SHAH ALAM - Pertubuhan Kebajikan Anak Bersatu Selangor (PKABS) bersetuju pihak kerajaan mewujudkan Suruhanjaya Siasatan Diraja (RCI) untuk menyiasat isu kartel daging.\n", "\n", "Pengerusinya, Rahmadin Alimuddin berkata, perkara tersebut perlu disiasat sebaiknya kerana isu logo halal palsu membimbangkan umat Islam di negara ini.\n", "\n", "Menurutnya, siasatan juga dapat memastikan pembekal daging beku mengikut piawaian yang ditetapkan oleh kerajaan Malaysia sebelum menjualnya di pasaran.\n", "\n", "“Saya berharap pihak yang menyiasat isu daging kartel dapat menyelesaikan isu ini dengan adil supaya rakyat Malaysia tidak ragu dengan daging beku yang berada di pasaran,” katanya ketika dihubungi Sinar Harian pada Sabtu.\n", "\n", "Terdahulu, Rahmadin dan Presiden Gagasan Baru Harapan Malaysia (GBHM), Mohd Zulfitri Mohd Basir telah menghantar memorandum kepada Suruhanjaya Pencegahan Rasuah Malaysia (SPRM) bagi meminta pihak tersebut menjalankan siasatan berkenaan kes kartel daging import haram di Senai, Johor awal Disember lalu.\n", "\n", "Penyerahan memorandum tersebut meminta pihak berkuasa mendedahkan kartel yang terlibat dalam sindiket itu selain meminta penjelasan daging tersebut boleh terlepas daripada pihak berkuasa.\n", "\"\"\"" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Use Pipeline" ] }, { "cell_type": "code", "execution_count": 30, "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "execution_count": 30, "metadata": {}, "output_type": "execute_result" } ], "source": [ "p = Pipeline()\n", "pipeline = (\n", " p.map(malaya.text.function.split_into_sentences)\n", " .foreach_map(yasmin)\n", " .foreach_map(lambda x: x['universal-output'])\n", " .foreach_map(universal_melgan)\n", ")\n", "p.visualize()" ] }, { "cell_type": "code", "execution_count": 31, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CPU times: user 2min 23s, sys: 30 s, total: 2min 53s\n", "Wall time: 29.2 s\n" ] } ], "source": [ "%%time\n", "\n", "r = p(long_text)" ] }, { "cell_type": "code", "execution_count": 32, "metadata": {}, "outputs": [], "source": [ "silent_period = np.array([0] * int(22050 * 0.5))\n", "concated = []\n", "for i in range(len(r['vocoder-melgan'])):\n", " c = [r['vocoder-melgan'][i]]\n", " if i < len(r['vocoder-melgan']) - 1:\n", " c.append(silent_period)\n", " concated.extend(c)" ] }, { "cell_type": "code", "execution_count": 33, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "execution_count": 33, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ipd.Audio(np.concatenate(concated), rate = 22050)" ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "execution_count": 23, "metadata": {}, "output_type": "execute_result" } ], "source": [ "p = Pipeline()\n", "pipeline = (\n", " p.map(malaya.text.function.split_into_sentences)\n", " .foreach_map(osman)\n", " .foreach_map(lambda x: x['universal-output'])\n", " .foreach_map(universal_melgan)\n", ")\n", "p.visualize()" ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CPU times: user 2min 10s, sys: 28.3 s, total: 2min 38s\n", "Wall time: 34.1 s\n" ] } ], "source": [ "%%time\n", "\n", "r = p(long_text)" ] }, { "cell_type": "code", "execution_count": 28, "metadata": {}, "outputs": [], "source": [ "concated = []\n", "for i in range(len(r['vocoder-melgan'])):\n", " c = [r['vocoder-melgan'][i]]\n", " if i < len(r['vocoder-melgan']) - 1:\n", " c.append(silent_period)\n", " concated.extend(c)" ] }, { "cell_type": "code", "execution_count": 29, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "execution_count": 29, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ipd.Audio(np.concatenate(concated), rate = 22050)" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "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": "3.7.7" }, "varInspector": { "cols": { "lenName": 16, "lenType": 16, "lenVar": 40 }, "kernels_config": { "python": { "delete_cmd_postfix": "", "delete_cmd_prefix": "del ", "library": "var_list.py", "varRefreshCmd": "print(var_dic_list())" }, "r": { "delete_cmd_postfix": ") ", "delete_cmd_prefix": "rm(", "library": "var_list.r", "varRefreshCmd": "cat(var_dic_list()) " } }, "types_to_exclude": [ "module", "function", "builtin_function_or_method", "instance", "_Feature" ], "window_display": false } }, "nbformat": 4, "nbformat_minor": 4 }