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audio
audioduration (s) 2.86
3.95
| text
stringclasses 3
values |
|---|---|
This is a test audio generated by the model.
|
|
這是模型生成的測試音訊。
|
|
這是模型生成的 wav 格式測試音訊。
|
audio-testing
Overview
This is a small, open dataset designed for quick validation of audio-related pipelines and applications, especially for Text-to-Speech (TTS) and Speech-to-Text (STT) systems. It provides a few short, diverse audio clips and corresponding text transcripts, allowing developers to verify input/output handling, audio processing, and transcription logic without downloading large datasets.
Contents
- 3 short audio samples (
.mp3,.wav) metadata.jsonlfile containing text transcripts and file references
| Field | Type | Description |
|---|---|---|
audio |
audio file | Raw audio data |
text |
string | Transcript of the audio |
Example Usage
async function fetchAudio(url: string): Promise<{
data: Buffer;
mimeType: string;
}> {
const response = await fetch(url);
if (!response.ok) {
throw new Error(`Failed to fetch audio: ${response.statusText}`);
}
const arrayBuffer = await response.arrayBuffer();
const data = Buffer.from(arrayBuffer);
const mimeType = response.headers.get("content-type") || "audio/wav";
return { data, mimeType };
}
const audioUrl = "https://huggingface.co/datasets/JacobLinCool/audio-testing/resolve/main/audio/audio-1.mp3";
const { data, mimeType } = await fetchAudio(audioUrl);
const transcription = await transcribe(data, mimeType);
const words = "this is a test audio generated by the model".split(" ");
// pass if WER < 10%
let matchCount = 0;
for (const word of words) {
if (transcription.includes(word)) {
matchCount++;
}
}
expect(matchCount / words.length).toBeGreaterThan(0.9);
Ideal for verifying:
- TTS model output alignment with ground-truth text
- STT transcription accuracy and error handling
- Audio I/O integration in pipelines or apps
License
MIT License
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