UniApp’s implementation skills of speech recognition and speech synthesis
With the development of artificial intelligence technology, speech recognition and speech synthesis have become commonly used technologies in people’s daily lives. In mobile application development, implementing speech recognition and speech synthesis functions has also become an important requirement. This article will introduce how to use UniApp to implement speech recognition and speech synthesis functions, and attach code examples.
1. Implementation of the speech recognition function
UniApp provides the uni-voice recognition plug-in, through which the speech recognition function can be easily realized. The following are the specific implementation steps:
"plugin" : { "voice": { "version": "1.2.0", "provider": "uni-voice" } }
<template> <view> <button type="primary" @tap="startRecognizer">开始识别</button> </view> </template>
import { voice } from '@/js_sdk/uni-voice' export default { methods: { startRecognizer() { uni.startRecognize({ lang: 'zh_CN', complete: res => { if (res.errMsg === 'startRecognize:ok') { console.log('识别结果:', res.result) } else { console.error('语音识别失败', res.errMsg) } } }) } } }
In the above code, the speech recognition function is started through the uni.startRecognize method. The recognized language can be set through the lang parameter. Here, setting it to 'zh_CN' means recognizing Chinese. In the complete callback function, the recognition result res.result can be obtained and processed accordingly.
2. Implementation of the speech synthesis function
To implement the speech synthesis function in UniApp, you need to use the uni.textToSpeech method. The following are the specific implementation steps:
<template> <view> <button type="primary" @tap="startSynthesis">开始合成</button> </view> </template>
export default { methods: { startSynthesis() { uni.textToSpeech({ text: '你好,欢迎使用UniApp', complete: res => { if (res.errMsg === 'textToSpeech:ok') { console.log('语音合成成功') } else { console.error('语音合成失败', res.errMsg) } } }) } } }
In the above code, the speech synthesis operation is performed through the uni.textToSpeech method. The text content to be synthesized can be set through the text parameter. In the complete callback function, you can judge whether the speech synthesis is successful based on res.errMsg.
3. Summary
This article introduces how to use UniApp to implement speech recognition and speech synthesis functions. Speech recognition and speech synthesis functionality can be easily integrated in UniApp projects by using the uni-voice plugin and the uni.textToSpeech method. I hope readers can quickly implement their own speech recognition and speech synthesis functions through the introduction and sample code of this article.
The above is the detailed content of UniApp's implementation techniques for speech recognition and speech synthesis. For more information, please follow other related articles on the PHP Chinese website!