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<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <title>Match-TTS Onnx En001-English</title>
</head>
<body>
    <h1>Match-TTS Onnx En001-English(Faster GPU Version)</h1>
    <div>this example using Quantized version(lowquality and slow) because of Github Page 100MB limitation</div>
    <p><a href = "https://huggingface.co./Akjava/matcha_tts_common_voice_01_en_001">common_voice_01_en_001</a> - my trained model.you can create too!</p>
    <br>
    <script src="https://cdn.jsdelivr.net/npm/onnxruntime-web/dist/ort.webgpu.min.js" ></script>
    

    <script type="module">

        import { MatchaTTSRaw } from "./js-esm/matcha_tts_raw.js";

        import { webWavPlay } from "./js-esm/web_wav_play.js";

        import { arpa_to_ipa } from "./js-esm/arpa_to_ipa.js";

        import { loadCmudict } from "./js-esm/cmudict_loader.js";

        import { env,textToArpa} from "./js-esm/text_to_arpa.js";



        env.allowLocalModels = true;

        env.localModelPath = "./models/";

        env.backends.onnx.logLevel = "fatal";

        

        let matcha_tts_raw

        let cmudict ={}

        let speaking = false

        async function main() {

            if (speaking){

                console.log("speaking return")

            }

            speaking = true

            console.log("main called")

            if(!matcha_tts_raw){

                matcha_tts_raw = new MatchaTTSRaw()

                console.time("load model");

                await matcha_tts_raw.load_model('./models/matcha-tts/en001_ep6399_univ_simplify_q8.onnx',{ executionProviders: ['webgpu','wasm'] });

                

                console.timeEnd("load model");

                

                let cmudictReady = loadCmudict(cmudict,'./dictionaries/cmudict-0.7b')

                await cmudictReady



            }else{

                console.log("session exist skip load model")

            }

            const text =  document.getElementById('textInput').value

            const arpa_text = await textToArpa(cmudict,text)

            const ipa_text = arpa_to_ipa(arpa_text).replace(/\s/g, "");

            console.log(ipa_text)



            const spks = 0

            const speed = document.getElementById('speed').value

            const tempature = document.getElementById('temperature').value



            console.time("infer");

            const result = await matcha_tts_raw.infer(ipa_text, tempature, speed,spks);

            console.timeEnd("infer");

            if (result!=null){

                webWavPlay(result)

               

            }

    

            speaking = false

        }

        function update_range(){

            const value = document.getElementById('spks').value

            let formattedNumber = value.toString().padStart(3, '0');

            document.getElementById('spks_label').textContent  = formattedNumber

        }

        function update_range2(){

            const value = document.getElementById('temperature').value

            //let formattedNumber = value.toString().padStart(3, '0');

            document.getElementById('tempature_label').textContent  = value//formattedNumber

        }

        function update_range3(){

            const value = document.getElementById('speed').value

            //let formattedNumber = value.toString().padStart(3, '0');

            document.getElementById('speed_label').textContent  = value//sformattedNumber

        }



        window.onload = async function(){

            document.getElementById('textInput').onchange = main;

            document.getElementById('myButton').onclick = main;

            

            document.getElementById('temperature').onchange = update_range2

            document.getElementById('speed').onchange = update_range3

        }

        

    

    </script>
    
    <input type="text" id="textInput"  value ="Hello." placeholder="Enter some text here...">
    
    <button id="myButton">Text To Speak</button><br>
    

    <label for ="temperature" style="width: 110px;display: inline-block;">Temperature</label>
    <input type="range" id="temperature"  min="0" max="1.0" value="0.5" step="0.1"/>
    <label for ="temperature" id="tempature_label">0.5</label><br>

    <label for ="speed" style="width: 110px;display: inline-block;">Speed</label>
    <input type="range" id="speed"  min="0.1" max="2.0" value="1.0" step="0.1"/>
    <label for ="speed" id="speed_label">1.0</label>
    <br>
    <br>
    <div id="footer">
    <b>Credits</b><br>
    <a href="https://github.com/akjava/Matcha-TTS-Japanese" style="font-size: 9px" target="link">Matcha-TTS-Japanese</a> | 
    <a href = "http://www.udialogue.org/download/cstr-vctk-corpus.html" style="font-size: 9px"  target="link">CSTR VCTK Corpus</a> |
    <a href = "https://github.com/cmusphinx/cmudict" style="font-size: 9px"  target="link">CMUDict</a> |
    <a href = "https://huggingface.co./docs/transformers.js/index" style="font-size: 9px"  target="link">Transformer.js</a> |
    <a href = "https://huggingface.co./cisco-ai/mini-bart-g2p" style="font-size: 9px"  target="link">mini-bart-g2p</a> |
    <a href = "https://onnxruntime.ai/docs/get-started/with-javascript/web.html" style="font-size: 9px"  target="link">ONNXRuntime-Web</a> |
    <a href = "https://github.com/akjava/English-To-IPA-Collections" style="font-size: 9px"  target="link">English-To-IPA-Collections</a> |
    <a href ="https://huggingface.co./papers/2309.03199" style="font-size: 9px"  target="link">Matcha-TTS Paper</a>
    </div>
    
    
    
</body>
</html>