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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Audio Transcription and Similarity Checker</title>
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.15.3/css/all.min.css">
<style>
body {
font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
background-color: #f4f4f4;
padding: 20px;
}
.container {
max-width: 800px;
margin: 0 auto;
background: #fff;
padding: 30px;
border-radius: 10px;
box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);
}
h1 {
text-align: center;
margin-bottom: 30px;
}
.audio-section {
text-align: center;
margin-bottom: 20px;
}
input[type="file"] {
display: none;
}
.upload-btn {
background-color: #007bff;
color: white;
padding: 10px 20px;
cursor: pointer;
border-radius: 5px;
margin: 10px;
border: none;
display: inline-block;
}
.button {
background-color: #28a745;
color: white;
padding: 10px 20px;
cursor: pointer;
border: none;
border-radius: 5px;
margin-top: 20px;
display: block;
width: 100%;
font-size: 16px;
}
.button:hover {
background-color: #218838;
}
#progress-bar {
width: 0;
height: 20px;
background-color: #4caf50;
text-align: center;
line-height: 20px;
color: white;
border-radius: 5px;
display: none;
}
#progress-container {
width: 100%;
background-color: #ddd;
border-radius: 5px;
margin-top: 20px;
}
.result {
margin-top: 20px;
}
.recorder {
cursor: pointer;
background-color: #dc3545;
color: white;
padding: 10px 20px;
border-radius: 50%;
font-size: 24px;
display: inline-block;
margin-top: 20px;
}
.stop-button {
background-color: #ff5733;
color: white;
padding: 10px 20px;
cursor: pointer;
border-radius: 5px;
display: none;
margin: 10px;
}
</style>
</head>
<body>
<div class="container">
<h1>Audio Transcription and Similarity Checker</h1>
<div id="original-audio" class="audio-section">
<h2>Upload or Record Original Audio</h2>
<label class="upload-btn" for="originalFile">Choose Audio File</label>
<input type="file" id="originalFile" accept="audio/*">
<div id="originalRecorder" class="recorder">
<i class="fas fa-microphone"></i> Record
</div>
<button id="stopOriginalRecording" class="stop-button">Stop Recording</button>
</div>
<div id="user-audio" class="audio-section">
<h2>Upload or Record User Audio</h2>
<label class="upload-btn" for="userFile">Choose Audio File</label>
<input type="file" id="userFile" accept="audio/*">
<div id="userRecorder" class="recorder">
<i class="fas fa-microphone"></i> Record
</div>
<button id="stopUserRecording" class="stop-button">Stop Recording</button>
</div>
<button id="transcribeButton" class="button">Perform Transcription and Testing</button>
<div id="progress-container">
<div id="progress-bar">0%</div>
</div>
<div id="result" class="result"></div>
</div>
<script src="https://cdn.jsdelivr.net/npm/@huggingface/transformers"></script>
<script>
const MODEL_ID = "facebook/wav2vec2-large-960h"; // Sample model, change if necessary
let processor, model;
let originalAudioBlob = null;
let userAudioBlob = null;
// Load model and processor
async function loadModel() {
processor = await transformers.AutoProcessor.from_pretrained(MODEL_ID);
model = await transformers.Wav2Vec2ForCTC.from_pretrained(MODEL_ID);
}
// Simulate progress bar loading
function updateProgressBar(percentComplete) {
const progressBar = document.getElementById("progress-bar");
progressBar.style.width = percentComplete + "%";
progressBar.innerHTML = percentComplete + "%";
if (percentComplete === 100) {
setTimeout(() => {
progressBar.style.display = "none";
progressBar.style.width = "0%";
}, 500);
} else {
progressBar.style.display = "block";
}
}
async function transcribe(audioBlob) {
const arrayBuffer = await audioBlob.arrayBuffer();
const audioData = new Float32Array(arrayBuffer);
const inputValues = processor(audioData, {return_tensors: "pt", padding: true}).input_values;
const logits = await model(inputValues).logits;
const predicted_ids = logits.argmax(-1);
const transcription = processor.decode(predicted_ids, {skip_special_tokens: true});
return transcription;
}
document.getElementById("transcribeButton").addEventListener("click", async () => {
if (!originalAudioBlob && !document.getElementById("originalFile").files[0]) {
alert("Please upload or record original audio.");
return;
}
if (!userAudioBlob && !document.getElementById("userFile").files[0]) {
alert("Please upload or record user audio.");
return;
}
updateProgressBar(0);
let percentComplete = 0;
const progressInterval = setInterval(() => {
percentComplete += 10;
updateProgressBar(percentComplete);
if (percentComplete >= 100) clearInterval(progressInterval);
}, 200);
if (!originalAudioBlob) {
originalAudioBlob = document.getElementById("originalFile").files[0];
}
if (!userAudioBlob) {
userAudioBlob = document.getElementById("userFile").files[0];
}
const transcriptionOriginal = await transcribe(originalAudioBlob);
const transcriptionUser = await transcribe(userAudioBlob);
clearInterval(progressInterval);
updateProgressBar(100);
const levenshteinDistance = (a, b) => {
let dp = Array.from({length: a.length + 1}, () => Array(b.length + 1).fill(0));
for (let i = 0; i <= a.length; i++) dp[i][0] = i;
for (let j = 0; j <= b.length; j++) dp[0][j] = j;
for (let i = 1; i <= a.length; i++) {
for (let j = 1; j <= b.length; j++) {
dp[i][j] = a[i - 1] === b[j - 1] ? dp[i - 1][j - 1] : Math.min(dp[i - 1][j], dp[i][j - 1], dp[i - 1][j - 1]) + 1;
}
}
return dp[a.length][b.length];
};
const similarityScore = 1 - levenshteinDistance(transcriptionOriginal, transcriptionUser) / Math.max(transcriptionOriginal.length, transcriptionUser.length);
document.getElementById("result").innerHTML = `
<h2>Transcription Results</h2>
<p><strong>Original Transcription:</strong> ${transcriptionOriginal}</p>
<p><strong>User Transcription:</strong> ${transcriptionUser}</p>
<p><strong>Levenshtein Similarity Score:</strong> ${similarityScore.toFixed(2)}</p>
`;
});
// Initialize model
loadModel();
// Handle voice recording (using browser APIs)
const recordAudio = () => {
return new Promise(async resolve => {
const stream = await navigator.mediaDevices.getUserMedia({ audio: true });
const mediaRecorder = new MediaRecorder(stream);
const audioChunks = [];
mediaRecorder.addEventListener("dataavailable", event => {
audioChunks.push(event.data);
});
mediaRecorder.addEventListener("stop", () => {
const audioBlob = new Blob(audioChunks);
resolve(audioBlob);
});
mediaRecorder.start();
return mediaRecorder;
});
};
let originalRecorderInstance, userRecorderInstance;
document.getElementById("originalRecorder").addEventListener("click", async () => {
originalRecorderInstance = await recordAudio();
document.getElementById("stopOriginalRecording").style.display = "inline-block";
document.getElementById("originalRecorder").style.display = "none";
});
document.getElementById("stopOriginalRecording").addEventListener("click", () => {
originalRecorderInstance.stop();
originalRecorderInstance.addEventListener("stop", async () => {
originalAudioBlob = new Blob(originalRecorderInstance);
alert("Original audio recorded!");
});
document.getElementById("stopOriginalRecording").style.display = "none";
document.getElementById("originalRecorder").style.display = "inline-block";
});
document.getElementById("userRecorder").addEventListener("click", async () => {
userRecorderInstance = await recordAudio();
document.getElementById("stopUserRecording").style.display = "inline-block";
document.getElementById("userRecorder").style.display = "none";
});
document.getElementById("stopUserRecording").addEventListener("click", () => {
userRecorderInstance.stop();
userRecorderInstance.addEventListener("stop", async () => {
userAudioBlob = new Blob(userRecorderInstance);
alert("User audio recorded!");
});
document.getElementById("stopUserRecording").style.display = "none";
document.getElementById("userRecorder").style.display = "inline-block";
});
</script>
</body>
</html>
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