实时语音识别单句模式
功能介绍
单句模式自动检测一句话的结束,因此适合于需要与您的系统进行交互的场景,例如外呼、控制口令等场景。
实时语音识别引擎的单句识别模式,和连续识别模式类似,也会进行语音的端点检测,如果检测到静音,将直接丢弃,检测到语音才会馈入核心进行实际的解码工作,如果检测到一段语音的结束点,就会将当前这一段的识别结果返回。和连续识别不同的是,在单句模式下,返回第一段的识别结果后,将不再继续识别后续的音频。这主要是用于和用户进行语音交互的场景下,当用户说完一句话后,往往会等待后续的交互操作,例如聆听根据识别结果播报的相关内容,因而没有必要继续识别后续的音频。
wss-URI
- wss-URI格式:
- 参数说明
表1 参数说明 参数名
是否必选
说明
project_id
是
项目编号。获取方法,请参见获取项目ID。
- 请求示例(伪码)
wss://{endpoint}/v1/{project_id}/rasr/sentence-stream Request Header: X-Auth-Token: MIINRwYJKoZIhvcNAQcCoIINODCCDTQCAQExDTALBglghkgBZQMEAgEwgguVBgkqhkiG...
- Python3语言请求代码示例
# -*- coding: utf-8 -*- # 此demo仅供测试使用,强烈建议使用sdk。需提前安装websocket-client, 执行pip install websocket-client import websocket import threading import time import json def rasr_demo(): url = 'wss://{{endpoint}}/v1/{{project_id}}/rasr/sentence-stream' # endpoint和project_id需替换 audio_path = '音频路径' token = '用户对应region的token' header = { 'X-Auth-Token': token } with open(audio_path, 'rb') as f: data = f.read() body = { 'command': 'START', 'config': { 'audio_format': 'pcm8k16bit', 'property': 'chinese_8k_common' } } def _on_message(ws, message): print(message) def _on_error(ws, error): print(error) ws = websocket.WebSocketApp(url, header, on_message=_on_message, on_error=_on_error) _thread = threading.Thread(target=ws.run_forever, args=(None, None, 30, 20)) _thread.start() time.sleep(1) ws.send(json.dumps(body), opcode=websocket.ABNF.OPCODE_TEXT) now_index = 0 byte_len = 4000 while now_index < len(data): next_index = now_index + byte_len if next_index > len(data): next_index = len(data) send_array = data[now_index: next_index] ws.send(send_array, opcode=websocket.ABNF.OPCODE_BINARY) now_index += byte_len time.sleep(0.05) ws.send("{\"command\": \"END\", \"cancel\": \"false\"}", opcode=websocket.ABNF.OPCODE_TEXT) time.sleep(10) ws.close() if __name__ == '__main__': rasr_demo()
- Java语言请求代码示例
import okhttp3.OkHttpClient; import okhttp3.Request; import okhttp3.Response; import okhttp3.WebSocket; import okhttp3.WebSocketListener; import okio.ByteString; import java.net.URL; /** * 此demo仅供测试使用,强烈建议使用SDK * 使用前需已配置okhttp、okio jar包。jar包可通过下载SDK获取。 */ public class RasrDemo { public void rasrDemo() { try { // endpoint和projectId需要替换成实际信息。 String url = "wss://{{endpoint}}/v1/{{project_id}}/rasr/sentence-stream"; String token = "对应region的token"; byte[] data = null; // 存放将要发送音频的byte数组 OkHttpClient okHttpClient = new OkHttpClient(); Request request = new Request.Builder().url(url).header("X-Auth-Token", token).build(); WebSocket webSocket = okHttpClient.newWebSocket(request, new MyListener()); webSocket.send("{\"command\": \"START\", \"config\": {\"audio_format\": \"pcm8k16bit\", \"property\": \"chinese_8k_common\"}}"); webSocket.send(ByteString.of(data)); webSocket.send("{ \"command\": \"END\", \"cancel\": false}"); Thread.sleep(10000); webSocket.close(1000, null); } catch (Exception e) { e.printStackTrace(); } } class MyListener extends WebSocketListener { @Override public void onOpen(WebSocket webSocket, Response response) { System.out.println("conneected"); } @Override public void onClosed(WebSocket webSocket, int code, String reason) { System.out.println("closed"); } @Override public void onFailure(WebSocket webSocket, Throwable t, Response response) { t.printStackTrace(); } @Override public void onMessage(WebSocket webSocket, String text) { System.out.println(text); } } public static void main(String[] args) { RasrDemo rasrDemo = new RasrDemo(); rasrDemo.rasrDemo(); } }
