Flutter文本转语音插件yoruba_tts的使用

Flutter文本转语音插件yoruba_tts的使用

开始使用

在Dart项目中添加插件：

dart pub add yoruba_tts
dart pub get

在Flutter项目中添加插件：

flutter pub add yoruba_tts
flutter pub get

如何使用

你可以查看示例代码以获取更多用法信息。

以下是一个简单的示例代码：

void main() async {
  // 设置文件路径
  final path = "<file path to save speech .flac file>";
  final accessToken = "<Access token generated from Hugging Face Website>";
  final text = "Ẹ̀yà Yorùbá ni mo ti wá";
  YorubaTts.generate(accessToken: accessToken, text: text, filePath: path);
  // 对.flac文件进行播放、上传等操作
}

完整示例代码

import 'package:flutter/material.dart';
import 'package:just_audio/just_audio.dart';
import 'package:path_provider/path_provider.dart';
import 'package:yoruba_tts/yoruba_tts.dart';

void main() {
  runApp(const MyApp());
}

class MyApp extends StatelessWidget {
  const MyApp({super.key});

  @override
  Widget build(BuildContext context) {
    return MaterialApp(
      title: 'Flutter Demo',
      theme: ThemeData(
        colorScheme: ColorScheme.fromSeed(seedColor: Colors.deepPurple),
        useMaterial3: true,
      ),
      home: const MyHomePage(title: 'Flutter Demo Home Page'),
    );
  }
}

class MyHomePage extends StatefulWidget {
  const MyHomePage({super.key, required this.title});

  final String title;

  @override
  State<MyHomePage> createState() => _MyHomePageState();
}

class _MyHomePageState extends State<MyHomePage> {

  void _convertTextToSpeech() async {

    // 获取应用文档目录
    final appDocumentsDir = await getApplicationDocumentsDirectory();
    final path = "${appDocumentsDir.path}/example.flac";

    // 调用yoruba_tts生成.flac文件
    await YorubaTts.generate(
        accessToken: "", text: 'Ẹ̀yà Yorùbá ni mo ti wá', filePath: path);

    // 使用just_audio插件播放生成的.flac文件
    AudioPlayer player = AudioPlayer();
    await player.setFilePath(path);
    await player.play();
  }

  @override
  Widget build(BuildContext context) {
    return Scaffold(
      appBar: AppBar(
        backgroundColor: Theme.of(context).colorScheme.inversePrimary,
        title: Text(widget.title),
      ),
      body: const Center(
        child: Text(
          '点击浮动按钮将文本转换为语音',
        ),
      ),
      floatingActionButton: FloatingActionButton(
        onPressed: _convertTextToSpeech,
        tooltip: 'Increment',
        child: const Icon(Icons.speaker),
      ), // 这个尾随的逗号使自动格式化更美观
    );
  }
}

信用

该模型的功劳归于来自Meta AI的Vineel Pratap等人。以下是引用：

@article{pratap2023mms, title={Scaling Speech Technology to 1,000+ Languages}, author={Vineel Pratap and Andros Tjandra and Bowen Shi and Paden Tomasello and Arun Babu and Sayani Kundu and Ali Elkahky and Zhaoheng Ni and Apoorv Vyas and Maryam Fazel-Zarandi and Alexei Baevski and Yossi Adi and Xiaohui Zhang and Wei-Ning Hsu and Alexis Conneau and Michael Auli}, journal={arXiv}, year={2023} }