{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Force Alignment using Seq2Seq HuggingFace\n", "\n", "Forced alignment is a technique to take an orthographic transcription of an audio file and generate a time-aligned version. In this example, I am going to use Malay and Singlish models." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "\n", "This tutorial is available as an IPython notebook at [malaya-speech/example/force-alignment-seq2seq-huggingface](https://github.com/huseinzol05/malaya-speech/tree/master/example/force-alignment-seq2seq-huggingface).\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": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import os\n", "\n", "os.environ['CUDA_VISIBLE_DEVICES'] = ''" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "`pyaudio` is not available, `malaya_speech.streaming.pyaudio` is not able to use.\n" ] } ], "source": [ "import malaya_speech\n", "import numpy as np\n", "from malaya_speech import Pipeline\n", "import IPython.display as ipd\n", "import matplotlib.pyplot as plt\n", "from malaya_speech.utils.aligner import plot_alignments" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### List available Force Aligner model" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Size (MB)malay-malayamalay-fleur102singlishLanguage
mesolitica/finetune-whisper-tiny-ms-singlish151{'WER': 0.20141585, 'CER': 0.071964908}{'WER': 0.235680975, 'CER': 0.0986880877}{'WER': 0.09045121, 'CER': 0.0481965}[malay, singlish]
mesolitica/finetune-whisper-tiny-ms-singlish-v2151{'WER': 0.20141585, 'CER': 0.071964908}{'WER': 0.22459602, 'CER': 0.089406469}{'WER': 0.138882971, 'CER': 0.074929807}[malay, singlish]
mesolitica/finetune-whisper-base-ms-singlish-v2290{'WER': 0.172632664, 'CER': 0.0680027682}{'WER': 0.1837319118, 'CER': 0.0599804251}{'WER': 0.111506313, 'CER': 0.05852830724}[malay, singlish]
mesolitica/finetune-whisper-small-ms-singlish-v2967{'WER': 0.13189875561, 'CER': 0.0434602169}{'WER': 0.13277694, 'CER': 0.0478108612}{'WER': 0.09489335668, 'CER': 0.05045327551}[malay, singlish]
\n", "
" ], "text/plain": [ " Size (MB) \\\n", "mesolitica/finetune-whisper-tiny-ms-singlish 151 \n", "mesolitica/finetune-whisper-tiny-ms-singlish-v2 151 \n", "mesolitica/finetune-whisper-base-ms-singlish-v2 290 \n", "mesolitica/finetune-whisper-small-ms-singlish-v2 967 \n", "\n", " malay-malaya \\\n", "mesolitica/finetune-whisper-tiny-ms-singlish {'WER': 0.20141585, 'CER': 0.071964908} \n", "mesolitica/finetune-whisper-tiny-ms-singlish-v2 {'WER': 0.20141585, 'CER': 0.071964908} \n", "mesolitica/finetune-whisper-base-ms-singlish-v2 {'WER': 0.172632664, 'CER': 0.0680027682} \n", "mesolitica/finetune-whisper-small-ms-singlish-v2 {'WER': 0.13189875561, 'CER': 0.0434602169} \n", "\n", " malay-fleur102 \\\n", "mesolitica/finetune-whisper-tiny-ms-singlish {'WER': 0.235680975, 'CER': 0.0986880877} \n", "mesolitica/finetune-whisper-tiny-ms-singlish-v2 {'WER': 0.22459602, 'CER': 0.089406469} \n", "mesolitica/finetune-whisper-base-ms-singlish-v2 {'WER': 0.1837319118, 'CER': 0.0599804251} \n", "mesolitica/finetune-whisper-small-ms-singlish-v2 {'WER': 0.13277694, 'CER': 0.0478108612} \n", "\n", " singlish \\\n", "mesolitica/finetune-whisper-tiny-ms-singlish {'WER': 0.09045121, 'CER': 0.0481965} \n", "mesolitica/finetune-whisper-tiny-ms-singlish-v2 {'WER': 0.138882971, 'CER': 0.074929807} \n", "mesolitica/finetune-whisper-base-ms-singlish-v2 {'WER': 0.111506313, 'CER': 0.05852830724} \n", "mesolitica/finetune-whisper-small-ms-singlish-v2 {'WER': 0.09489335668, 'CER': 0.05045327551} \n", "\n", " Language \n", "mesolitica/finetune-whisper-tiny-ms-singlish [malay, singlish] \n", "mesolitica/finetune-whisper-tiny-ms-singlish-v2 [malay, singlish] \n", "mesolitica/finetune-whisper-base-ms-singlish-v2 [malay, singlish] \n", "mesolitica/finetune-whisper-small-ms-singlish-v2 [malay, singlish] " ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "malaya_speech.force_alignment.seq2seq.available_huggingface()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Load Transducer Aligner model\n", "\n", "```python\n", "def huggingface(\n", " model: str = 'mesolitica/finetune-whisper-base-ms-singlish-v2',\n", " force_check: bool = True,\n", " **kwargs,\n", "):\n", " \"\"\"\n", " Load Finetuned models from HuggingFace.\n", "\n", " Parameters\n", " ----------\n", " model : str, optional (default='mesolitica/finetune-whisper-base-ms-singlish-v2')\n", " Check available models at `malaya_speech.force_alignment.seq2seq.available_huggingface()`.\n", " force_check: bool, optional (default=True)\n", " Force check model one of malaya model.\n", " Set to False if you have your own huggingface model.\n", "\n", " Returns\n", " -------\n", " result : malaya_speech.model.huggingface.Seq2SeqAligner class\n", " \"\"\"\n", "```" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "model = malaya_speech.force_alignment.seq2seq.huggingface(model = 'mesolitica/finetune-whisper-base-ms-singlish-v2')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Load sample" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Malay samples" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "malay1, sr = malaya_speech.load('speech/example-speaker/shafiqah-idayu.wav')\n", "malay2, sr = malaya_speech.load('speech/example-speaker/haqkiem.wav')" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "texts = ['nama saya shafiqah idayu',\n", " 'sebagai pembangkang yang matang dan sejahtera pas akan menghadapi pilihan raya umum dan tidak menumbang kerajaan dari pintu belakang']" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ipd.Audio(malay2, rate = sr)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Singlish samples" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'221931702.WAV': 'wantan mee is a traditional local cuisine',\n", " '221931818.WAV': 'ahmad khan adelene wee chin suan and robert ibbetson',\n", " '221931727.WAV': 'saravanan gopinathan george yeo yong boon and tay kheng soon'}" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import json\n", "import os\n", "from glob import glob\n", "\n", "with open('speech/imda/output.json') as fopen:\n", " data = json.load(fopen)\n", " \n", "data" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "['speech/imda/221931727.WAV',\n", " 'speech/imda/221931818.WAV',\n", " 'speech/imda/221931702.WAV']" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "wavs = glob('speech/imda/*.WAV')\n", "wavs" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [], "source": [ "y, sr = malaya_speech.load(wavs[0])" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ipd.Audio(y, rate = sr)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Predict\n", "\n", "```python\n", "def predict(\n", " self,\n", " input,\n", " transcription: str,\n", " lang: str = 'ms',\n", " median_filter_size: int = 7,\n", "):\n", " \"\"\"\n", " Transcribe input, will return a string.\n", " Based on https://github.com/openai/whisper/blob/main/notebooks/Multilingual_ASR.ipynb\n", "\n", " Parameters\n", " ----------\n", " input: np.array\n", " np.array or malaya_speech.model.frame.Frame.\n", " transcription: str\n", " transcription of input audio.\n", " lang: str, optional (default='ms')\n", " if you feed singlish speech, it is better to give `en` language.\n", " median_filter_size: int, optional (default=7)\n", " sliding median size.\n", " Returns\n", " -------\n", " result: Dict[chars_alignment, words_alignment, alignment]\n", " \"\"\"\n", "```" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Force alignment Seq2Seq required `dtw-python`, make sure you already installed,\n", "\n", "```bash\n", "pip install dtw-python\n", "```" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Predict Malay\n", "\n", "Our original text is: 'sebagai pembangkang yang matang dan sejahtera pas akan menghadapi pilihan raya umum dan tidak menumbang kerajaan dari pintu belakang'" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "It is strongly recommended to pass the `sampling_rate` argument to this function. Failing to do so can result in silent errors that might be hard to debug.\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Importing the dtw module. When using in academic works please cite:\n", " T. Giorgino. Computing and Visualizing Dynamic Time Warping Alignments in R: The dtw Package.\n", " J. Stat. Soft., doi:10.18637/jss.v031.i07.\n", "\n" ] } ], "source": [ "results = model.predict(malay2, texts[1])" ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/plain": [ "dict_keys(['subwords_alignment', 'words_alignment', 'alignment', 'alignment_x', 'alignment_y', 'xticks', 'xticklabels', 'yticks', 'yticklabels'])" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "results.keys()" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[{'text': 'sebagai', 'start': 0.0, 'end': 0.26},\n", " {'text': 'pembangkang', 'start': 0.26, 'end': 1.06},\n", " {'text': 'yang', 'start': 1.06, 'end': 1.1400000000000001},\n", " {'text': 'matang', 'start': 1.1400000000000001, 'end': 1.7},\n", " {'text': 'dan', 'start': 1.7, 'end': 1.84},\n", " {'text': 'sejahtera', 'start': 1.84, 'end': 2.5},\n", " {'text': 'pas', 'start': 2.5, 'end': 2.66},\n", " {'text': 'akan', 'start': 2.66, 'end': 3.08},\n", " {'text': 'menghadapi', 'start': 3.08, 'end': 3.7600000000000002},\n", " {'text': 'pilihan', 'start': 3.7600000000000002, 'end': 4.32},\n", " {'text': 'raya', 'start': 4.32, 'end': 4.72},\n", " {'text': 'umum', 'start': 4.72, 'end': 5.12},\n", " {'text': 'dan', 'start': 5.12, 'end': 5.24},\n", " {'text': 'tidak', 'start': 5.24, 'end': 5.74},\n", " {'text': 'menumbang', 'start': 5.74, 'end': 6.2},\n", " {'text': 'kerajaan', 'start': 6.2, 'end': 6.74},\n", " {'text': 'dari', 'start': 6.74, 'end': 6.76},\n", " {'text': 'pintu', 'start': 6.76, 'end': 7.58},\n", " {'text': 'belakang', 'start': 7.58, 'end': 8.0}]" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "results['words_alignment']" ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/plain": [ "(48, 411)" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "results['alignment'].shape" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig = plt.figure(figsize=(10, 8))\n", "ax = fig.add_subplot(111)\n", "ax.set_title('Alignment steps')\n", "im = ax.imshow(\n", " results['alignment'],\n", " aspect='auto',\n", " origin='lower',\n", " interpolation='none')\n", "ax.set_yticks(range(len(results['yticklabels'])))\n", "labels = [item.get_text() for item in ax.get_yticklabels()]\n", "ax.set_yticklabels(results['yticklabels'])\n", "fig.colorbar(im, ax=ax)\n", "xlabel = 'Encoder timestep'\n", "plt.xlabel(xlabel)\n", "plt.ylabel('Decoder timestep')\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Predict Singlish\n", "\n", "Our original text is: 'saravanan gopinathan george yeo yong boon and tay kheng soon'" ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "It is strongly recommended to pass the `sampling_rate` argument to this function. Failing to do so can result in silent errors that might be hard to debug.\n" ] } ], "source": [ "results = model.predict(y, data[os.path.split(wavs[0])[1]])" ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "dict_keys(['subwords_alignment', 'words_alignment', 'alignment', 'alignment_x', 'alignment_y', 'xticks', 'xticklabels', 'yticks', 'yticklabels'])" ] }, "execution_count": 23, "metadata": {}, "output_type": "execute_result" } ], "source": [ "results.keys()" ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[{'text': 'saravanan', 'start': 0.06, 'end': 1.54},\n", " {'text': 'gopinathan', 'start': 1.54, 'end': 2.08},\n", " {'text': 'george', 'start': 2.08, 'end': 3.4},\n", " {'text': 'yeo', 'start': 3.4, 'end': 3.84},\n", " {'text': 'yong', 'start': 3.84, 'end': 4.34},\n", " {'text': 'boon', 'start': 4.34, 'end': 4.88},\n", " {'text': 'and', 'start': 4.88, 'end': 5.2},\n", " {'text': 'tay', 'start': 5.2, 'end': 6.22},\n", " {'text': 'kheng', 'start': 6.22, 'end': 6.38},\n", " {'text': 'soon', 'start': 6.38, 'end': 6.4}]" ] }, "execution_count": 24, "metadata": {}, "output_type": "execute_result" } ], "source": [ "results['words_alignment']" ] }, { "cell_type": "code", "execution_count": 25, "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/plain": [ "[{'text': '<|startoftranscript|>', 'start': 0.0, 'end': 0.0},\n", " {'text': '<|ms|>', 'start': 0.0, 'end': 0.02},\n", " {'text': '<|transcribe|>', 'start': 0.02, 'end': 0.06},\n", " {'text': '<|notimestamps|>', 'start': 0.06, 'end': 0.06},\n", " {'text': 's', 'start': 0.06, 'end': 0.74},\n", " {'text': 'ar', 'start': 0.74, 'end': 0.9400000000000001},\n", " {'text': 'avan', 'start': 0.9400000000000001, 'end': 1.16},\n", " {'text': 'an', 'start': 1.16, 'end': 1.54},\n", " {'text': 'Ä go', 'start': 1.54, 'end': 1.86},\n", " {'text': 'pin', 'start': 1.86, 'end': 1.8800000000000001},\n", " {'text': 'athan', 'start': 1.8800000000000001, 'end': 2.08},\n", " {'text': 'Ä ge', 'start': 2.08, 'end': 2.5},\n", " {'text': 'orge', 'start': 2.5, 'end': 3.4},\n", " {'text': 'Ä ye', 'start': 3.4, 'end': 3.66},\n", " {'text': 'o', 'start': 3.66, 'end': 3.84},\n", " {'text': 'Ä y', 'start': 3.84, 'end': 4.26},\n", " {'text': 'ong', 'start': 4.26, 'end': 4.34},\n", " {'text': 'Ä bo', 'start': 4.34, 'end': 4.64},\n", " {'text': 'on', 'start': 4.64, 'end': 4.88},\n", " {'text': 'Ä and', 'start': 4.88, 'end': 5.2},\n", " {'text': 'Ä ', 'start': 5.2, 'end': 6.08},\n", " {'text': 't', 'start': 6.08, 'end': 6.1000000000000005},\n", " {'text': 'ay', 'start': 6.1000000000000005, 'end': 6.22},\n", " {'text': 'Ä kh', 'start': 6.22, 'end': 6.34},\n", " {'text': 'eng', 'start': 6.34, 'end': 6.38},\n", " {'text': 'Ä soon', 'start': 6.38, 'end': 6.4},\n", " {'text': '<|endoftext|>', 'start': 6.4, 'end': 6.76}]" ] }, "execution_count": 25, "metadata": {}, "output_type": "execute_result" } ], "source": [ "results['subwords_alignment']" ] }, { "cell_type": "code", "execution_count": 26, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig = plt.figure(figsize=(10, 8))\n", "ax = fig.add_subplot(111)\n", "ax.set_title('Alignment steps')\n", "im = ax.imshow(\n", " results['alignment'],\n", " aspect='auto',\n", " origin='lower',\n", " interpolation='none')\n", "ax.set_yticks(range(len(results['yticklabels'])))\n", "labels = [item.get_text() for item in ax.get_yticklabels()]\n", "ax.set_yticklabels(results['yticklabels'])\n", "fig.colorbar(im, ax=ax)\n", "xlabel = 'Encoder timestep'\n", "plt.xlabel(xlabel)\n", "plt.ylabel('Decoder timestep')\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### What if we give wrong transcription?" ] }, { "cell_type": "code", "execution_count": 28, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "It is strongly recommended to pass the `sampling_rate` argument to this function. Failing to do so can result in silent errors that might be hard to debug.\n" ] }, { "data": { "text/plain": [ "dict_keys(['subwords_alignment', 'words_alignment', 'alignment', 'alignment_x', 'alignment_y', 'xticks', 'xticklabels', 'yticks', 'yticklabels'])" ] }, "execution_count": 28, "metadata": {}, "output_type": "execute_result" } ], "source": [ "results = model.predict(y, 'husein sangat comel')\n", "results.keys()" ] }, { "cell_type": "code", "execution_count": 29, "metadata": { "scrolled": true }, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig = plt.figure(figsize=(10, 8))\n", "ax = fig.add_subplot(111)\n", "ax.set_title('Alignment steps')\n", "im = ax.imshow(\n", " results['alignment'],\n", " aspect='auto',\n", " origin='lower',\n", " interpolation='none')\n", "ax.set_yticks(range(len(results['yticklabels'])))\n", "labels = [item.get_text() for item in ax.get_yticklabels()]\n", "ax.set_yticklabels(results['yticklabels'])\n", "fig.colorbar(im, ax=ax)\n", "xlabel = 'Encoder timestep'\n", "plt.xlabel(xlabel)\n", "plt.ylabel('Decoder timestep')\n", "plt.tight_layout()\n", "plt.show()" ] } ], "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": 4 }