用代码实现一个demo，前端用ant-design-vue实现语音搜索框，后端用java调用百度语音识别实现语音转文字

好的，我可以提供一个简单的demo示例，来演示如何使用ant-design-vue实现语音搜索框，并结合Java后端调用百度语音识别API实现语音转文字的功能。

前端代码示例：

<template>
  <div>
    <a-input-search v-model="searchValue" :enter-button="true" @search="handleSearch">
      <a-icon slot="suffix" v-if="!listening" type="search" @click="startListening" />
      <a-icon slot="suffix" v-else type="loading" />
    </a-input-search>
  </div>
</template>

<script>
import { debounce } from 'lodash'
import { message } from 'ant-design-vue'

export default {
  data() {
    return {
      searchValue: '',
      listening: false
    }
  },
  methods: {
    handleSearch() {
      // 处理搜索请求
      console.log('搜索关键字：', this.searchValue)
    },
    startListening() {
      // 开始语音识别
      message.info('请开始说话')
      this.listening = true
      this.recognizeSpeech()
    },
    stopListening() {
      // 结束语音识别
      message.info('识别结束')
      this.listening = false
    },
    recognizeSpeech: debounce(function() {
      // 调用百度语音识别API
      const token = '百度语音识别API的Token'
      const url = `https://vop.baidu.com/pro_api?dev_pid=1536&cuid=xxxx&token=${token}`
      const blob = new Blob([], { type: 'audio/wav' })
      const formData = new FormData()
      formData.append('audio', blob)
      formData.append('len', '0')
      formData.append('speech', '')
      const headers = {
        'Content-Type': 'application/json; charset=UTF-8'
      }
      this.$http.post(url, formData, { headers }).then(res => {
        // 获取语音识别结果
        console.log('语音识别结果：', res.data)
        this.stopListening()
        this.searchValue = res.data.result[0]
        this.handleSearch()
      }).catch(error => {
        console.error(error)
        message.error('语音识别失败，请重试')
        this.stopListening()
      })
    }, 1000)
  }
}
</script>

后端代码示例：

public class BaiduSpeechRecognition {
    private static final String URL = "https://vop.baidu.com/pro_api";
    private static final String TOKEN = "百度语音识别API的Token";
    private static final String CUID = "xxxx"; // 用户自定义ID

    public static String recognizeSpeech(InputStream inputStream) throws IOException, URISyntaxException {
        byte[] bytes = IOUtils.toByteArray(inputStream);
        String base64Data = Base64.getEncoder().encodeToString(bytes);

        HttpClient httpClient = HttpClientBuilder.create().build();
        URIBuilder uriBuilder = new URIBuilder(URL);
        uriBuilder.addParameter("dev_pid", "1536");
        uriBuilder.addParameter("cuid", CUID);
        uriBuilder.addParameter("token", TOKEN);
        HttpPost httpPost = new HttpPost(uriBuilder.build());
        httpPost.setHeader("Content-Type", "application/json; charset=UTF-8");

        JSONObject json = new JSONObject();
        json.put("speech", base64Data);
        json.put("len", bytes.length);
        httpPost.setEntity(new StringEntity(json.toJSONString(), Charset.forName("UTF-8")));

        HttpResponse response = httpClient.execute(httpPost);
        String result = EntityUtils.toString(response.getEntity());
        JSONObject jsonObject = JSONObject.parseObject(result);
        JSONArray jsonArray = jsonObject.getJSONArray("result");
        return jsonArray.getString(0);
    }
}

需要注意的是，以上示例代码仅供参考，并不完整，实际开发中还需要考虑异常处理、接口调用频率限制等问题。同时，还需要在百度语音识别API官网上申请API Key和Secret Key，并使用正确的Token进行接口调用。