🇹🇭 泰语语音转文本 (ASR) 基础版
1 IC每60秒
欢迎使用泰语 ASR 基础版 - 我们的标准泰语自动语音识别服务。此版本提供快速的处理速度,同时为通用用例保持良好的准确性。
试用演示
入门指南
-
先决条件
- 艾艾普科技的 API 密钥
- 支持格式的音频文件
- 支持的格式:MP3、WAV、AAC、M4A
- 最大文件长度:不超过 30 分钟
- 最大文件大小:1GB
-
快速开始
- 响应时间 0.3 秒,处理速度快
- 高准确率(85.48% WER 准确率)
- 支持泰语
-
主要功能
- 从音频文件中提取文本
- 声纹分割
- 快速处理速度
- 灵活的 JSON 响应格式
-
安全与合规
- 符合 GDPR 和 PDPA
- 处理后不保留数据
如何获取 API 密钥?
请访问 API 密钥管理 页面查看您现有的 API 密钥或申请新密钥。
API 端点
| 端点 | 方法 | 描述 | 费用 |
|---|---|---|---|
/v3/store/speech/speech-to-text/base旧版: /asr/v3 | POST | 将泰语语音转换为文本(基础模型) | 每 60 秒 1 IC |
API 参考
端点
POST https://api.iapp.co.th/v3/store/speech/speech-to-text/base
请求头
apikey(必需):用于身份验证的 API 密钥- 其他请求头由 FormData 生成
请求参数
| 参数 | 类型 | 描述 |
|---|---|---|
| file* | 文件 (.mp3, .wav, .aac, .m4a) | 要转录的音频文件(不超过 30 分钟) |
| chunk_size | 整数 | 音频分块大小(推荐:7) |
代码示例
Curl
curl -X POST https://api.iapp.co.th/v3/store/speech/speech-to-text/base \
-H "apikey: YOUR_API_KEY" \
-F "file=@/path/to/file.jpg"
Python
import requests
url = "https://api.iapp.co.th/v3/store/speech/speech-to-text/base"
payload = {'use_asr_pro': '0', 'chunk_size': '7'}
files=[
('file',('{YOUR_UPLOADED_FILE}',open('{YOUR_UPLOADED_FILE_PATH}','rb'),'application/octet-stream'))
]
headers = {
'apikey': '{YOUR_API_KEY}'
}
response = requests.request("POST", url, headers=headers, data=payload, files=files)
print(response.text)
Javascript
const axios = require("axios")
const FormData = require("form-data")
const fs = require("fs")
let data = new FormData()
data.append("file", fs.createReadStream("YOUR_UPLOADED_FILE"))
data.append("use_asr_pro", "0") // 设置为 '1' 表示 iApp ASR PRO
data.append("chunk_size", "7")
let config = {
method: "post",
maxBodyLength: Infinity,
url: "https://api.iapp.co.th/v3/store/speech/speech-to-text/base",
headers: {
apikey: "{YOUR_API_KEY}",
...data.getHeaders(),
},
data: data,
}
axios
.request(config)
.then((response) => {
console.log(JSON.stringify(response.data))
})
.catch((error) => {
console.log(error)
})
PHP
<?php
$curl = curl_init();
curl_setopt_array($curl, array(
CURLOPT_URL => 'https://api.iapp.co.th/v3/store/speech/speech-to-text/base',
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => '',
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 0,
CURLOPT_FOLLOWLOCATION => true,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => 'POST',
CURLOPT_POSTFIELDS => array('file'=> new CURLFILE('{YOUR_UPLOADED_FILE}'),
'use_asr_pro' => '0',
'chunk_size' => '7'),
CURLOPT_HTTPHEADER => array(
'apikey: {YOUR_API_KEY}'
),
));
$response = curl_exec($curl);
curl_close($curl);
echo $response;
Swift
let parameters = [
[
"key": "file",
"src": "{YOUR_UPLOADED_FILE}",
"type": "file"
],
[
"key": "use_asr_pro",
"value": "0",
"type": "text"
],
[
"key": "chunk_size",
"value": "7",
"type": "text"
]] as [[String: Any]]
let boundary = "Boundary-\(UUID().uuidString)"
var body = Data()
var error: Error? = nil
for param in parameters {
if param["disabled"] != nil { continue }
let paramName = param["key"]!
body += Data("--\(boundary)\r\n".utf8)
body += Data("Content-Disposition:form-data; name=\"\(paramName)\"".utf8)
if param["contentType"] != nil {
body += Data("\r\nContent-Type: \(param["contentType"] as! String)".utf8)
}
let paramType = param["type"] as! String
if paramType == "text" {
let paramValue = param["value"] as! String
body += Data("\r\n\r\n\(paramValue)\r\n".utf8)
} else {
let paramSrc = param["src"] as! String
let fileURL = URL(fileURLWithPath: paramSrc)
if let fileContent = try? Data(contentsOf: fileURL) {
body += Data("; filename=\"\(paramSrc)\"\r\n".utf8)
body += Data("Content-Type: \"content-type header\"\r\n".utf8)
body += Data("\r\n".utf8)
body += fileContent
body += Data("\r\n".utf8)
}
}
}
body += Data("--\(boundary)--\r\n".utf8);
let postData = body
var request = URLRequest(url: URL(string: "https://api.iapp.co.th/v3/store/speech/speech-to-text/base")!,timeoutInterval: Double.infinity)
request.addValue("{YOUR_API_KEY}", forHTTPHeaderField: "apikey")
request.addValue("multipart/form-data; boundary=\(boundary)", forHTTPHeaderField: "Content-Type")
request.httpMethod = "POST"
request.httpBody = postData
let task = URLSession.shared.dataTask(with: request) { data, response, error in
guard let data = data else {
print(String(describing: error))
return
}
print(String(data: data, encoding: .utf8)!)
}
task.resume()
Kotlin
val client = OkHttpClient()
val mediaType = "text/plain".toMediaType()
val body = MultipartBody.Builder().setType(MultipartBody.FORM)
.addFormDataPart("file","{YOUR_UPLOADED_FILE}",
File("{YOUR_UPLOADED_FILE_PATH}").asRequestBody("application/octet-stream".toMediaType()))
.addFormDataPart("use_asr_pro","0")
.addFormDataPart("chunk_size","7")
.build()
val request = Request.Builder()
.url("https://api.iapp.co.th/v3/store/speech/speech-to-text/base")
.post(body)
.addHeader("apikey", "{YOUR_API_KEY}")
.build()
val response = client.newCall(request).execute()
Java
OkHttpClient client = new OkHttpClient().newBuilder()
.build();
MediaType mediaType = MediaType.parse("text/plain");
RequestBody body = new MultipartBody.Builder().setType(MultipartBody.FORM)
.addFormDataPart("file","{YOUR_UPLOADED_FILE}",
RequestBody.create(MediaType.parse("application/octet-stream"),
new File("{YOUR_UPLOADED_FILE_PATH}")))
.addFormDataPart("use_asr_pro","0")
.addFormDataPart("chunk_size","7")
.build();
Request request = new Request.Builder()
.url("https://api.iapp.co.th/v3/store/speech/speech-to-text/base")
.method("POST", body)
.addHeader("apikey", "{YOUR_API_KEY}")
.build();
Response response = client.newCall(request).execute();
Dart
var headers = {
'apikey': '{YOUR_API_KEY}'
};
var request = http.MultipartRequest('POST', Uri.parse('https://api.iapp.co.th/v3/store/speech/speech-to-text/base'));
request.fields.addAll({
'use_asr_pro': '0',
'chunk_size': '7'
});
request.files.add(await http.MultipartFile.fromPath('file', '{YOUR_UPLOADED_FILE'));
request.headers.addAll(headers);
http.StreamedResponse response = await request.send();
if (response.statusCode == 200) {
print(await response.stream.bytesToString());
}
else {
print(response.reasonPhrase);
}
准确率与性能
整体准确率
在 Mozilla Common Voice 数据集的泰语测试集上的基准测试结果。我们评估了 iApp ASR 在两个不同版本的测试集上的性能。
-
测试条件
- 未见过的数据集
- 仅限泰语
- 说话人多样性:男性、女性、儿童
-
Mozilla Common Voice 16.1 泰语测试集(版本 1)
结果:
- 测试集大小:11,038 个测试示例
- 平均词错误率:1.11%
- 平均词错误率(无空格):0.66%
-
Mozilla Common Voice 17.0 泰语测试集(版本 2)
结果:
- 测试集大小:11,042 个样本
- 词错误率 (WER):14.52%
- 字符错误率 (CER):5.87%
- 基于 WER 的准确率:85.48%
- 基于 CER 的准确率 :94.13%
处理速度
- 平均响应时间:0.3 秒
- 比其他供应商快 15 倍
详细基准测试结果(在 Google 表格中):
定价
| AI API 服务名称 | 端点 | 每秒 IC | 本地部署 |
|---|---|---|---|
| 泰语语音转文本 (ASR) | iapp-asr-v3-en [基础模型] | 1 IC/60 秒 | 联系我们 |
| iapp-asr-v3-th-en [基础模型] | 1 IC/60 秒 |