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<!doctype html> |
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<html lang="en"> |
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<head> |
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<meta name="viewport" content="width=device-width" /> |
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<link rel="stylesheet" href="style.css" /> |
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<meta charset="UTF-8"> |
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<title>Match-TTS Onnx Benchmarks</title> |
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</head> |
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<body> |
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<h1>Match-TTS Onnx Benchmarks</h1> |
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<script src="https://cdn.jsdelivr.net/npm/onnxruntime-web/dist/ort.webgpu.min.js" ></script> |
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<script type="module"> |
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import { MatchaTTSRaw } from "./js-esm/matcha_tts_raw.js"; |
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import { webWavPlay } from "./js-esm/web_wav_play.js"; |
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import { arpa_to_ipa } from "./js-esm/arpa_to_ipa.js"; |
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import { loadCmudict } from "./js-esm/cmudict_loader.js"; |
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import { env,textToArpa} from "./js-esm/text_to_arpa.js"; |
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env.allowLocalModels = true; |
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env.localModelPath = "./models/"; |
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env.backends.onnx.logLevel = "error"; |
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let matcha_tts_raw |
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let cmudict ={} |
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let speaking = false |
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let total_infer_time=0 |
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let count_infer=0 |
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let loaded_model_name |
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let load_time |
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async function main(model_name) { |
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if (typeof model_name !== 'string') { |
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model_name ="en001_ep6399_univ_simplify" |
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} |
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console.log(model_name) |
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if (speaking){ |
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console.log("speaking return") |
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} |
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speaking = true |
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console.log("main called") |
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if(!matcha_tts_raw){ |
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const load_startTime = performance.now(); |
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matcha_tts_raw = new MatchaTTSRaw() |
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console.time("load model"); |
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const model_path = `./models/matcha-tts/${model_name}.onnx` |
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console.log(model_path) |
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await matcha_tts_raw.load_model(model_path,{ executionProviders: ['webgpu','wasm'] }); |
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console.timeEnd("load model"); |
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load_time = (performance.now() - load_startTime)/1000 |
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loaded_model_name = model_name |
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let cmudictReady = loadCmudict(cmudict,'./dictionaries/cmudict-0.7b') |
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await cmudictReady |
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update_infer_bench1() |
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}else{ |
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console.log("session exist skip load model") |
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} |
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const startTime = performance.now(); |
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const text = document.getElementById('textInput').value |
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console.log("### textToArpa call") |
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const arpa_text = await textToArpa(cmudict,text) |
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console.log("### arpa returned") |
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const ipa_text = arpa_to_ipa(arpa_text).replace(/\s/g, ""); |
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const spks = 0 |
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const speed = document.getElementById('speed').value |
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const tempature = document.getElementById('temperature').value |
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console.time("infer"); |
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const result = await matcha_tts_raw.infer(ipa_text, tempature, speed,spks); |
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if (result!=null){ |
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console.timeEnd("infer"); |
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const endTime = performance.now(); |
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const infer_time = endTime-startTime |
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total_infer_time+=infer_time |
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count_infer += 1 |
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update_infer_bench2() |
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webWavPlay(result) |
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} |
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speaking = false |
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} |
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function update_infer_bench1(){ |
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const text = `${loaded_model_name} load time ${load_time.toFixed(1)} sec`; |
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document.getElementById('result1').innerText=text |
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} |
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function update_infer_bench2(){ |
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const avg = (total_infer_time/count_infer)/1000 |
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const text = `Infer Count ${count_infer} avg infer-time ${avg.toFixed(1)} sec`; |
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document.getElementById('result2').innerText=text |
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} |
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function update_range(){ |
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const value = document.getElementById('spks').value |
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let formattedNumber = value.toString().padStart(3, '0'); |
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document.getElementById('spks_label').textContent = formattedNumber |
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} |
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function update_range2(){ |
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const value = document.getElementById('temperature').value |
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document.getElementById('tempature_label').textContent = value |
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} |
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function update_range3(){ |
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const value = document.getElementById('speed').value |
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document.getElementById('speed_label').textContent = value |
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} |
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window.onload = async function(){ |
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document.getElementById('myButton').onclick = main; |
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document.getElementById('temperature').onchange = update_range2 |
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document.getElementById('speed').onchange = update_range3 |
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} |
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function loadModel(model_name){ |
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total_infer_time=0 |
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count_infer=0 |
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matcha_tts_raw=null |
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main(model_name) |
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} |
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function create_button(label, model_name) { |
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const button = document.createElement('button'); |
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button.style ="margin:4px;" |
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button.textContent = label; |
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button.onclick = function() { |
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loadModel(model_name); |
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}; |
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return button |
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} |
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document.getElementById('buttons').appendChild(create_button("ljspeech","ljspeech_sim")) |
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document.getElementById('buttons').appendChild(create_button("ljspeech-quantized","ljspeech_sim_q8")) |
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document.getElementById('buttons').appendChild(create_button("vctk","vctk_univ_simplify")) |
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document.getElementById('buttons').appendChild(create_button("vctk-quantized","vctk_univ_simplify_q8")) |
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document.getElementById('buttons').appendChild(create_button("en001","en001_ep6399_univ_simplify")) |
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document.getElementById('buttons').appendChild(create_button("en001-quantized","en001_ep6399_univ_simplify_q8")) |
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document.getElementById('buttons').appendChild(document.createElement('br')) |
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document.getElementById('buttons').appendChild(create_button("en001-t2-step01","en001_6399_T2_step01")) |
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document.getElementById('buttons').appendChild(create_button("en001-t2-step05","en001_6399_T2_step05")) |
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document.getElementById('buttons').appendChild(create_button("en001-t2-step10","en001_6399_T2_step10")) |
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document.getElementById('buttons').appendChild(document.createElement('br')) |
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document.getElementById('buttons').appendChild(create_button("en001-univ-step01","en001_6399_univ_step01")) |
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document.getElementById('buttons').appendChild(create_button("en001-univ-step05","en001_6399_univ_step05")) |
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document.getElementById('buttons').appendChild(create_button("en001-univ-step10","en001_6399_univ_step10")) |
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</script> |
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<div id="result1">Click button to load a model</div> |
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<div id="buttons"></div> |
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<br> |
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<div id="result2">en001-T2 and en001-univ are experimental</div> |
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<br><br> |
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<input type="text" id="textInput" value ="Hello Huggingface." placeholder="Enter some text here..."> |
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<button id="myButton">Text To Speak</button><br> |
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<label for ="temperature" style="width: 110px;display: inline-block;">Temperature</label> |
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<input type="range" id="temperature" min="0" max="1.0" value="0.5" step="0.1"/> |
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<label for ="temperature" id="tempature_label">0.5</label><br> |
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<label for ="speed" style="width: 110px;display: inline-block;">Speed</label> |
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<input type="range" id="speed" min="0.1" max="2.0" value="1.0" step="0.1"/> |
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<label for ="speed" id="speed_label">1.0</label> |
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<br> |
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<br> |
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<div>almost load time 15 sec,short text TTS time 2 sec(my 2070super-gpu)</div><br> |
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<div>Quantized version is too slow and exist just for Github Page 100MB limitation so far</div><br> |
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<div>Multispeaker(vctk) is little bit slow than singlespeaker.default timesteps is 5(smallest 1 is 300msec fast,but audio become low quality)</div> |
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<br> |
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<div id="footer"> |
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<b>Spaces</b><br> |
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<a href="https://huggingface.co/spaces/Akjava/matcha-tts_vctk-onnx" style="font-size: 9px" target="link">Match-TTS VCTK-ONNX</a> | |
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<a href="https://huggingface.co/spaces/Akjava/matcha-tts-onnx-benchmarks" style="font-size: 9px" target="link">Match-TTS ONNX-Benchmark</a> | |
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<br><br> |
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<b>Credits</b><br> |
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<a href="https://github.com/akjava/Matcha-TTS-Japanese" style="font-size: 9px" target="link">Matcha-TTS-Japanese</a> | |
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<a href = "http://www.udialogue.org/download/cstr-vctk-corpus.html" style="font-size: 9px" target="link">CSTR VCTK Corpus</a> | |
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<a href = "https://github.com/cmusphinx/cmudict" style="font-size: 9px" target="link">CMUDict</a> | |
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<a href = "https://huggingface.co/docs/transformers.js/index" style="font-size: 9px" target="link">Transformer.js</a> | |
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<a href = "https://huggingface.co/cisco-ai/mini-bart-g2p" style="font-size: 9px" target="link">mini-bart-g2p</a> | |
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<a href = "https://onnxruntime.ai/docs/get-started/with-javascript/web.html" style="font-size: 9px" target="link">ONNXRuntime-Web</a> | |
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<a href = "https://github.com/akjava/English-To-IPA-Collections" style="font-size: 9px" target="link">English-To-IPA-Collections</a> | |
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<a href ="https://huggingface.co/papers/2309.03199" style="font-size: 9px" target="link">Matcha-TTS Paper</a> |
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</div> |
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</body> |
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</html> |
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