Question

我尝试将语音转换为节点服务器中的文本，其中使用AudioContext在浏览器中进行语音录制。我能通过binaryType：arraybuffer的WebSocket连接将int16Array缓冲区（记录的数据）发送到我的节点服务器。

this.processor.onaudioprocess = (e) => {
    // this.processAudio(e)
    for (
        var float32Array = e.inputBuffer.getChannelData(0) || new Float32Array(this.bufferSize),
        len = float32Array.length,
        int16Array = new Int16Array(len);
        len--;)
        int16Array[len] = 32767 * Math.min(1, float32Array[len]);
    this.socket.send(int16Array.buffer);
};

在服务器中，数据以

的形式接收

<Buffer 66 6f 6f ...>

现在我想解析或转换为可读的流，以便我可以通过Google语音识别流。

  function processAudioBuffer(int16ArrayBuffer) {
    console.log("Received stream :", int16ArrayBuffer, typeof 
    recognizeStreams[userId]);
    const recognizer = getGoogleSpeechStreamRecognizer();

    if (recognizer) {

    /* HERE I NEED SOMETHING WHICH MAKES MY BUFFER COMPATIBLE WITH GOOGLE SPEECH API */

    // tried with streamifier but no luck
    // streamifier.createReadStream(int16ArrayBuffer).pipe(recognizer);

    // also tried with Record which is used in google-cloud-node-samples to record stream from connected mic device, but no luck
    var file = new Record({
       path: `${userId}.raw`,
       encoding: 'arraybuffer',
       contents: int16ArrayBuffer
    });
    file.pipe(recognizer);

    } else {
         console.log('user stream is not yet created');
    }
 }

识别器会抛出以下错误：

Error: write after end
at writeAfterEnd (/Users/demo/node_modules/duplexify/node_modules/readable-stream/lib/_stream_writable.js:222:12)
at Writable.write (/Users/demo/node_modules/duplexify/node_modules/readable-stream/lib/_stream_writable.js:262:20)
at Duplexify.end (/Users/demo/node_modules/duplexify/index.js:223:18)
at Record.pipe (/Users/demo/node_modules/record/index.js:70:14)
at processAudioBuffer (/Users/demo/app.js:87:10)
at WebSocket.incoming (/Users/demo/app.js:104:7)
at emitTwo (events.js:106:13)
at WebSocket.emit (events.js:191:7)
at Receiver._receiver.onmessage (/Users/demo/node_modules/ws/lib/WebSocket.js:146:54)
at Receiver.dataMessage (/Users/demo/node_modules/ws/lib/Receiver.js:380:14)

Answer 1

解决了!!!我们可以将缓冲区直接写入使用GoogleSpeech创建的recognizerStream，如下所示：

const recognizer = getGoogleSpeechStreamRecognizer();

recognizer.write(int16ArrayBuffer)

NodeJS将Int16Array二进制缓冲区转换为用于Google Speech API的LINEAR16编码原始流

1 个答案: