使用AssemblyAI将音频数据转换成文本
使用AssemblyAI将音频数据转换成文本
油管上有一个How To Call a REST API In Java - Simple Tutorial讲到
使用AssemblyAI 只需几行代码即可快速尝试我们的语音转文本和语音理解 AI 模型。首先我们得注册账号，然后登录账号，
到https://www.assemblyai.com/dashboard/activation页面可以看到自己的API Key，如下图所示：
这个API Key非常重要，在我们的代码中调用AssemblyAI库通过post和get请求将音频文件转录成文本时会使用到。上述图中可以看出官方给出了Python(SDK)、JavaScript(SDK)、Python、JavaScript、PHP、Ruby、C#等代码示例，居然没提供Java的。
一般我们使用AssemblyAI这个库将本地或者网络上存储的音频文件转换成文本需要两步走：
-
- 调用
post请求通过AssemblyAI填充我们的audio_ull和API Key等参数，然后生成对应的transcript id
- 调用
-
- 根据第一步生成的
transcript id，再发送get请求，当转换完成后获取对应的转录text文本
- 根据第一步生成的
AssemblyAI代码示例
Python(SDK)
# Install the assemblyai package by executing the command "pip install assemblyai"import assemblyai as aaiaai.settings.api_key = "填写你自己的API Key"# audio_file = "./local_file.mp3"
audio_file = "https://assembly.ai/wildfires.mp3"config = aai.TranscriptionConfig(speech_model=aai.SpeechModel.best)transcript = aai.Transcriber(config=config).transcribe(audio_file)if transcript.status == "error":raise RuntimeError(f"Transcription failed: {transcript.error}")print(transcript.text)
JavaScript(SDK)
// Install the assemblyai package by executing the command "npm install assemblyai"import { AssemblyAI } from "assemblyai";const client = new AssemblyAI({apiKey: "填写你自己的API Key",
});// const audioFile = "./local_file.mp3";
const audioFile = 'https://assembly.ai/wildfires.mp3'const params = {audio: audioFile,speech_model: "universal",
};const run = async () => {const transcript = await client.transcripts.transcribe(params);console.log(transcript.text);
};run();
Python
# Install the requests package by executing the command "pip install requests"import requests
import timebase_url = "https://api.assemblyai.com"headers = {"authorization": "填写你自己的API Key"
}
# You can upload a local file using the following code
# with open("./my-audio.mp3", "rb") as f:
# response = requests.post(base_url + "/v2/upload",
# headers=headers,
# data=f)
#
# audio_url = response.json()["upload_url"]audio_url = "https://assembly.ai/wildfires.mp3"data = {"audio_url": audio_url,"speech_model": "universal"
}url = base_url + "/v2/transcript"
response = requests.post(url, json=data, headers=headers)transcript_id = response.json()['id']
polling_endpoint = base_url + "/v2/transcript/" + transcript_idwhile True:transcription_result = requests.get(polling_endpoint, headers=headers).json()transcript_text = transcription_result['text']if transcription_result['status'] == 'completed':print(f"Transcript Text:", transcript_text)breakelif transcription_result['status'] == 'error':raise RuntimeError(f"Transcription failed: {transcription_result['error']}")else:time.sleep(3)
JavaScript
// Install the axios and fs-extra package by executing the command "npm install axios fs-extra"import axios from "axios";
import fs from "fs-extra";const baseUrl = "https://api.assemblyai.com";const headers = {authorization: "填写你自己的API Key",
};// You can upload a local file using the following code
// const path = "./my-audio.mp3";
// const audioData = await fs.readFile(path);
// const uploadResponse = await axios.post(`${baseUrl}/v2/upload`, audioData, {
// headers,
// });
// const audioUrl = uploadResponse.data.upload_url;const audioUrl = "https://assembly.ai/wildfires.mp3";const data = {audio_url: audioUrl,speech_model: "universal",
};const url = `${baseUrl}/v2/transcript`;
const response = await axios.post(url, data, { headers: headers });const transcriptId = response.data.id;
const pollingEndpoint = `${baseUrl}/v2/transcript/${transcriptId}`;while (true) {const pollingResponse = await axios.get(pollingEndpoint, {headers: headers,});const transcriptionResult = pollingResponse.data;if (transcriptionResult.status === "completed") {console.log(transcriptionResult.text);break;} else if (transcriptionResult.status === "error") {throw new Error(`Transcription failed: ${transcriptionResult.error}`);} else {await new Promise((resolve) => setTimeout(resolve, 3000));}
}PHP
<?php
$ch = curl_init();
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);// replace with your API key
$YOUR_API_KEY = "填写你自己的API Key";// URL of the file to transcribe
$FILE_URL = "https://assembly.ai/wildfires.mp3";
// You can also transcribe a local file by passing in a file path
// $FILE_URL = './path/to/file.mp3';// AssemblyAI transcript endpoint (where we submit the file)
$transcript_endpoint = "https://api.assemblyai.com/v2/transcript";// Request parameters
$data = array("audio_url" => $FILE_URL // You can also use a URL to an audio or video file on the web
);// HTTP request headers
$headers = array("authorization: " . $YOUR_API_KEY,"content-type: application/json"
);// submit for transcription via HTTP request
$curl = curl_init($transcript_endpoint);
curl_setopt($curl, CURLOPT_POST, true);
curl_setopt($curl, CURLOPT_POSTFIELDS, json_encode($data));
curl_setopt($curl, CURLOPT_HTTPHEADER, $headers);
curl_setopt($curl, CURLOPT_RETURNTRANSFER, true);
$response = curl_exec($curl);
$response = json_decode($response, true);
curl_close($curl);# polling for transcription completion
$transcript_id = $response['id'];
$polling_endpoint = "https://api.assemblyai.com/v2/transcript/" . $transcript_id;while (true) {$polling_response = curl_init($polling_endpoint);curl_setopt($polling_response, CURLOPT_HTTPHEADER, $headers);curl_setopt($polling_response, CURLOPT_RETURNTRANSFER, true);$transcription_result = json_decode(curl_exec($polling_response), true);if ($transcription_result['status'] === "completed") {echo $transcription_result['text'];break;} else if ($transcription_result['status'] === "error") {throw new Exception("Transcription failed: " . $transcription_result['error']);}sleep(3);
}
Ruby
require 'net/http'
require 'json'base_url = 'https://api.assemblyai.com'
headers = {'authorization' => '填写你的API Key','content-type' => 'application/json'
}audio_url = 'https://assembly.ai/wildfires.mp3'data = {"audio_url" => audio_url,"speech_model" => "universal"
}uri = URI.parse("#{base_url}/v2/transcript")
http = Net::HTTP.new(uri.host, uri.port)
http.use_ssl = true
request = Net::HTTP::Post.new(uri.request_uri, headers)
request.body = data.to_json
response = http.request(request)
response_body = JSON.parse(response.body)unless response.is_a?(Net::HTTPSuccess)raise "API request failed with status #{response.code}: #{response.body}"
endtranscript_id = response_body['id']
puts "Transcript ID: #{transcript_id}"polling_endpoint = URI.parse("#{base_url}/v2/transcript/#{transcript_id}")
while truepolling_http = Net::HTTP.new(polling_endpoint.host, polling_endpoint.port)polling_http.use_ssl = truepolling_request = Net::HTTP::Get.new(polling_endpoint.request_uri, headers)polling_response = polling_http.request(polling_request)transcription_result = JSON.parse(polling_response.body)if transcription_result['status'] == 'completed'puts "Transcription text: #{transcription_result['text']}"breakelsif transcription_result['status'] == 'error'raise "Transcription failed: #{transcription_result['error']}"elseputs 'Waiting for transcription to complete...'sleep(3)end
end
C#
using System;
using System.IO;
using System.Net.Http;
using System.Net.Http.Headers;
using System.Net.Http.Json;
using System.Text;
using System.Text.Json;
using System.Text.Json.Serialization;
using System.Threading.Tasks;class Program
{static readonly string BaseUrl = "https://api.assemblyai.com";static readonly string ApiKey = "填写你的API Key";static async Task<string> UploadFileAsync(string filePath, HttpClient httpClient){using (var fileStream = File.OpenRead(filePath))using (var fileContent = new StreamContent(fileStream)){fileContent.Headers.ContentType = new MediaTypeHeaderValue("application/octet-stream");using (var response = await httpClient.PostAsync("https://api.assemblyai.com/v2/upload", fileContent)){response.EnsureSuccessStatusCode();var jsonDoc = await response.Content.ReadFromJsonAsync<JsonDocument>();// Add null check to fix CS8602 warningreturn jsonDoc?.RootElement.GetProperty("upload_url").GetString() ??throw new InvalidOperationException("Failed to get upload URL from response");}}}static async Task Main(string[] args){using var httpClient = new HttpClient();httpClient.DefaultRequestHeaders.Add("authorization", ApiKey);// var audioUrl = await UploadFileAsync("./my_audio.mp3", httpClient);string audioUrl = "https://assembly.ai/wildfires.mp3";var requestData = new{audio_url = audioUrl,speech_model = "universal"};var jsonContent = new StringContent(JsonSerializer.Serialize(requestData),Encoding.UTF8,"application/json");using var transcriptResponse = await httpClient.PostAsync($"{BaseUrl}/v2/transcript", jsonContent);var transcriptResponseBody = await transcriptResponse.Content.ReadAsStringAsync();var transcriptData = JsonSerializer.Deserialize<JsonElement>(transcriptResponseBody);if (!transcriptData.TryGetProperty("id", out JsonElement idElement)){throw new Exception("Failed to get transcript ID");}string transcriptId = idElement.GetString() ?? throw new Exception("Transcript ID is null");string pollingEndpoint = $"{BaseUrl}/v2/transcript/{transcriptId}";while (true){using var pollingResponse = await httpClient.GetAsync(pollingEndpoint);var pollingResponseBody = await pollingResponse.Content.ReadAsStringAsync();var transcriptionResult = JsonSerializer.Deserialize<JsonElement>(pollingResponseBody);if (!transcriptionResult.TryGetProperty("status", out JsonElement statusElement)){throw new Exception("Failed to get transcription status");}string status = statusElement.GetString() ?? throw new Exception("Status is null");if (status == "completed"){if (!transcriptionResult.TryGetProperty("text", out JsonElement textElement)){throw new Exception("Failed to get transcript text");}string transcriptText = textElement.GetString() ?? string.Empty;Console.WriteLine($"Transcript Text: {transcriptText}");break;}else if (status == "error"){string errorMessage = transcriptionResult.TryGetProperty("error", out JsonElement errorElement)? errorElement.GetString() ?? "Unknown error": "Unknown error";throw new Exception($"Transcription failed: {errorMessage}");}else{await Task.Delay(3000);}}}
}
注意：只需要安装好assemblyai相关依赖只好，按照自己的需求参考上面的代码，替换自己的API key以及需要转录的音频文件，即可生成对应的转录文本。
以下面的Ptyhon代码为例：
# Install the requests package by executing the command "pip install requests"import requests
import timebase_url = "https://api.assemblyai.com"headers = {"authorization": "填写你自己的API key"
}
# You can upload a local file using the following code
with open("./audio_data/Thirsty.mp4", "rb") as f:response = requests.post(base_url + "/v2/upload",headers=headers,data=f)audio_url = response.json()["upload_url"]
print(f"Audio URL: {audio_url}")# audio_url = "https://assembly.ai/wildfires.mp3"data = {"audio_url": audio_url,"speech_model": "universal"
}url = base_url + "/v2/transcript"
response = requests.post(url, json=data, headers=headers)transcript_id = response.json()['id']
polling_endpoint = base_url + "/v2/transcript/" + transcript_idwhile True:transcription_result = requests.get(polling_endpoint, headers=headers).json()transcript_text = transcription_result['text']if transcription_result['status'] == 'completed':print(f"Transcript Text:", transcript_text)breakelif transcription_result['status'] == 'error':raise RuntimeError(f"Transcription failed: {transcription_result['error']}")else:time.sleep(3)
Java代码示例
如下是使用AssemblyAI将github上的音频文件转换成文本的Java代码示例，注意安装一下Gson库：
// Transcript.java
package org.example;public class Transcript {private String audio_url;private String id;private String status;private String text;private String error;public String getError() {return error;}public void setError(String error) {this.error = error;}public String getStatus() {return status;}public void setStatus(String status) {this.status = status;}public String getText() {return text;}public void setText(String text) {this.text = text;}public String getAudio_url() {return audio_url;}public void setAudio_url(String audio_url) {this.audio_url = audio_url;}public String getId() {return id;}public void setId(String id) {this.id = id;}
}// Main.java
package org.example;import com.google.gson.Gson;import java.io.IOException;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;public class Main {private static final String API_KEY = "填写你自己的API Key";public static void main(String[] args) throws IOException, InterruptedException {String audio_url = "";Transcript transcript = new Transcript();transcript.setAudio_url("https://github.com/johnmarty3/JavaAPITutorial/blob/main/Thirsty.mp4?raw=true");Gson gson = new Gson();// 利用 Gson 将 Transcript 对象转换为 JSON 字符串String jsonRequest = gson.toJson(transcript);System.out.println("JSON Request: " + jsonRequest);// 构建 POST 请求HttpRequest postRequest = HttpRequest.newBuilder().uri(java.net.URI.create("https://api.assemblyai.com/v2/transcript")).header("Content-Type", "application/json").header("authorization", API_KEY).POST(HttpRequest.BodyPublishers.ofString(jsonRequest)).build();// 创建 HttpClient 实例HttpClient httpClient = HttpClient.newHttpClient();// 发送 POST 请求HttpResponse<String> postResponse = httpClient.send(postRequest, HttpResponse.BodyHandlers.ofString());System.out.println("postResponse: " + postResponse.body());// 将响应体转换为 Transcript 对象transcript = gson.fromJson(postResponse.body(), Transcript.class);System.out.println("Transcript ID: " + transcript.getId());// 构建 GET 请求以获取转录状态HttpRequest getRequest = HttpRequest.newBuilder().uri(java.net.URI.create("https://api.assemblyai.com/v2/transcript/" + transcript.getId())).header("authorization", API_KEY).GET().build();while (true) {// 发送 GET 请求以获取转录状态HttpResponse<String> getResponse = httpClient.send(getRequest, HttpResponse.BodyHandlers.ofString());// 将响应体转换为 Transcript 对象transcript = gson.fromJson(getResponse.body(), Transcript.class);
// System.out.println("getResponse: " + getResponse.body());System.out.println(transcript.getStatus());if ("completed".equals(transcript.getStatus())) {break; // 如果转录完成，退出循环} else if ("error".equals(transcript.getStatus())) {System.out.println("Transcription error." + transcript.getError());break; // 如果转录失败，退出循环} else {Thread.sleep(1000); // 如果转录未完成，等待 1 秒后重试}}System.out.println("Transcription completed.");// 输出转录文本System.out.println("Transcript text: " + transcript.getText());}
}
注意：上述Maven工程使用Gson库转换json字符串和对象，需要引入Gson依赖：
<dependency><groupId>com.google.code.gson</groupId><artifactId>gson</artifactId><version>2.13.1</version>
</dependency>
运行结果如下：
JSON Request: {"audio_url":"https://github.com/johnmarty3/JavaAPITutorial/blob/main/Thirsty.mp4?raw\u003dtrue"}
postResponse: {"id": "f3ffd34e-db34-4f89-b3d7-2c3bada97e3f", "language_model": "assemblyai_default", "acoustic_model": "assemblyai_default", "language_code": "en_us", "status": "queued", "audio_url": "https://github.com/johnmarty3/JavaAPITutorial/blob/main/Thirsty.mp4?raw=true", "text": null, "words": null, "utterances": null, "confidence": null, "audio_duration": null, "punctuate": true, "format_text": true, "dual_channel": null, "webhook_url": null, "webhook_status_code": null, "webhook_auth": false, "webhook_auth_header_name": null, "speed_boost": false, "auto_highlights_result": null, "auto_highlights": false, "audio_start_from": null, "audio_end_at": null, "word_boost": [], "boost_param": null, "prompt": null, "keyterms_prompt": null, "filter_profanity": false, "redact_pii": false, "redact_pii_audio": false, "redact_pii_audio_quality": null, "redact_pii_audio_options": null, "redact_pii_policies": null, "redact_pii_sub": null, "speaker_labels": false, "speaker_options": null, "content_safety": false, "iab_categories": false, "content_safety_labels": {}, "iab_categories_result": {}, "language_detection": false, "language_confidence_threshold": null, "language_confidence": null, "custom_spelling": null, "throttled": false, "auto_chapters": false, "summarization": false, "summary_type": null, "summary_model": null, "custom_topics": false, "topics": [], "speech_threshold": null, "speech_model": null, "chapters": null, "disfluencies": false, "entity_detection": false, "sentiment_analysis": false, "sentiment_analysis_results": null, "entities": null, "speakers_expected": null, "summary": null, "custom_topics_results": null, "is_deleted": null, "multichannel": null, "project_id": 671839, "token_id": 678042}
Transcript ID: f3ffd34e-db34-4f89-b3d7-2c3bada97e3f
processing
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completed
Transcription completed.
Transcript text: These pretzels are making me thirsty.
其中Thirsty.mp4音频文件素材网址为：https://github.com/johnmarty3/JavaAPITutorial/blob/main/Thirsty.mp4
参考资料
- How To Call a REST API In Java - Simple Tutorial
- https://www.assemblyai.com/
- https://github.com/assemblyai
- CLI for the AssemblyAI API
- Demo of AssemblyAI’s Real-Time Websocket API (In Browser with JavaScript)
- Upload a local file and use AssemblyAI’s Speaker Labels model to display turn-by-turn utterances for your file.
- https://github.com/AssemblyAI/assemblyai-node-sdk
- https://github.com/AssemblyAI/assemblyai-java-sdk
The AssemblyAI Java SDK provides an easy-to-use interface for interacting with the AssemblyAI API, which supports async and real-time transcription, audio intelligence models, as well as the latest LeMUR models. - https://github.com/google/gson
A Java serialization/deserialization library to convert Java Objects into JSON and back - https://mvnrepository.com/artifact/com.google.code.gson/gson https://github.com/johnmarty3/JavaAPITutorial/blob/main/Thirsty.mp4