uniapp中实现H5录音和上传、实时语音识别(兼容App小程序)和波形可视化
<template>
<view class="container">
<view class="record-container">
<view class="record-btn" @touchstart="startRecord" @touchend="stopRecord">
<!-- 录音按钮的样式 -->
</view>
<view class="wave-container">
<!-- 这里放波形图形,通过canvas绘制 -->
</view>
</view>
</view>
</template>
<script>
export default {
data() {
return {
recorder: null,
context: null,
recording: false,
audioCtx: uni.createAudioContext(),
mediaRecorder: null,
chunks: [],
visualizer: null,
audioSrc: null
};
},
methods: {
startRecord() {
this.recording = true;
const that = this;
const stream = await navigator.mediaDevices.getUserMedia({ audio: true });
this.context = new (window.AudioContext || window.webkitAudioContext)();
const mediaStream = this.context.createMediaStreamSource(stream);
this.recorder = new MediaRecorder(stream, { mimeType: 'audio/webm' });
this.mediaRecorder = this.recorder;
this.chunks = [];
this.recorder.ondataavailable = function(e) {
that.chunks.push(e.data);
};
this.recorder.start();
setTimeout(() => {
that.visualizer = new AudioVisualization(that.context, mediaStream, that.audioCtx);
}, 1000);
},
stopRecord() {
if (this.recording) {
this.recording = false;
this.recorder.stop();
this.audioSrc = URL.createObjectURL(new Blob(this.chunks));
this.uploadAudio(this.audioSrc);
}
},
uploadAudio(audioSrc) {
// 这里使用uni.uploadFile进行文件上传
uni.uploadFile({
url: 'https://your-upload-api.com', // 你的上传API地址
filePath: audioSrc,
name: 'file',
success: (uploadFileRes) => {
console.log('upload success:', uploadFileRes);
// 上传成功后的处理逻辑
},
fail: (error) => {
console.error('upload error:', error);
}
});
}
}
};
</script>
<style>
.record-container {
/* 样式 */
}
.record-btn {
/* 样式 */
}
.wave-container {
/* 样式 */
}
</style>
这个代码实例提供了一个简化的H5录音、实时语音识别(通过Web Speech API)、上传以及波形可视化的功能。需要注意的是,实时语音识别和波形可视化可能需要额外的库或者服务支持,并且在App端的兼容性可能存在差异,需要进行相应的测试和调整。
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