语音合成

import dashscope
from dashscope.audio.tts_v2 import *

model = "cosyvoice-v1"
voice = "longxiaochun"

synthesizer = SpeechSynthesizer(model=model, voice=voice)
audio = synthesizer.call("今天天气怎么样？")
print('requestId: ', synthesizer.get_last_request_id())
with open('output.mp3', 'wb') as f:
    f.write(audio)

import com.alibaba.dashscope.audio.ttsv2.SpeechSynthesisAudioFormat;
import com.alibaba.dashscope.audio.ttsv2.SpeechSynthesisParam;
import com.alibaba.dashscope.audio.ttsv2.SpeechSynthesizer;
import java.io.File;
import java.io.FileOutputStream;
import java.io.IOException;
import java.nio.ByteBuffer;

public class Tts2File {
  private static String model = "cosyvoice-v1";
  private static String voice = "longxiaochun";

  public static void synthesizeAndSaveAudio() {
    SpeechSynthesisParam param =
        SpeechSynthesisParam.builder()
            .model(model)
            .voice(voice)
            .build();
    SpeechSynthesizer synthesizer = new SpeechSynthesizer(param, null);
    ByteBuffer audio = synthesizer.call("今天天气怎么样？");
    File file = new File("output.mp3");
    System.out.print("requestId: " + synthesizer.getLastRequestId());
    try (FileOutputStream fos = new FileOutputStream(file)) {
      fos.write(audio.array());
    } catch (IOException e) {
      throw new RuntimeException(e);
    }
  }

  public static void main(String[] args) {
    synthesizeAndSaveAudio();
    System.exit(0);
  }
}

import dashscope
from dashscope.audio.tts import SpeechSynthesizer

result = SpeechSynthesizer.call(model='sambert-zhichu-v1',
                                # 当text内容的语种发生变化时，请确认model是否匹配。不同model支持不同的语种，详情请参见Sambert音色列表中的“语言”列。
                                text='今天天气怎么样',
                                sample_rate=48000,
                                format='wav')

if result.get_audio_data() is not None:
    with open('output.wav', 'wb') as f:
        f.write(result.get_audio_data())
print(' get response: %s' % (result.get_response()))

import com.alibaba.dashscope.audio.tts.SpeechSynthesizer;
import com.alibaba.dashscope.audio.tts.SpeechSynthesisParam;
import com.alibaba.dashscope.audio.tts.SpeechSynthesisResult;
import com.alibaba.dashscope.audio.tts.SpeechSynthesisAudioFormat;
import com.alibaba.dashscope.common.ResultCallback;
import com.alibaba.dashscope.common.Status;

import java.io.*;
import java.nio.ByteBuffer;

public class Main {

    public static void SyncAudioDataToFile() {
        SpeechSynthesizer synthesizer = new SpeechSynthesizer();
        SpeechSynthesisParam param = SpeechSynthesisParam.builder()
          .model("sambert-zhichu-v1")
          // 当text内容的语种发生变化时，请确认model是否匹配。不同model支持不同的语种，详情请参见Sambert音色列表中的“语言”列。
          .text("今天天气怎么样")
          .sampleRate(48000)
          .format(SpeechSynthesisAudioFormat.WAV)
          .build();

        File file = new File("output.wav");
        // 调用call方法，传入param参数，获取合成音频
        ByteBuffer audio = synthesizer.call(param);
        try (FileOutputStream fos = new FileOutputStream(file)) {
            fos.write(audio.array());
            System.out.println("synthesis done!");
        } catch (IOException e) {
            throw new RuntimeException(e);
        }
    }

    public static void main(String[] args) {
        SyncAudioDataToFile();
        System.exit(0);
    }
}