C 语言、Java 语言或 PHP 语言的语音识别 [关闭]

文章的一个例子是通过语音识别技术来实现的。语音识别是一种将人类语音转换成计算机可识别的文本的技术，它在很多领域都有广泛的应用。本文将介绍如何使用 C 语言、Java 语言或 PHP 语言来实现基于语音识别的应用，并提供相应的案例代码。

c
#include 
#include 
int main(int argc, char *argv[]) {
    ps_decoder_t *ps;
    cmd_ln_t *config;
    FILE *fh;
    char const *hyp, *uttid;
    int16 buf[512];
    int rv;
    int32 score;
    config = cmd_ln_init(NULL, ps_args(), TRUE,
        "-hmm", "model/en-us/en-us",
        "-lm", "model/en-us/en-us.lm.bin",
        "-dict", "model/en-us/cmudict-en-us.dict",
        NULL);
    ps = ps_init(config);
    fh = fopen("test.wav", "rb");
    if (fh == NULL) {
        perror("Failed to open file");
        return 1;
    }
    rv = ps_start_utt(ps);
    while (!feof(fh)) {
        size_t nsamp;
        nsamp = fread(buf, 2, 512, fh);
        rv = ps_process_raw(ps, buf, nsamp, FALSE, FALSE);
    }
    rv = ps_end_utt(ps);
    hyp = ps_get_hyp(ps, &score);
    printf("Recognized: %s\n", hyp);
    fclose(fh);
    ps_free(ps);
    cmd_ln_free_r(config);
    return 0;
}

java
import edu.cmu.sphinx.api.Configuration;
import edu.cmu.sphinx.api.LiveSpeechRecognizer;
import edu.cmu.sphinx.api.SpeechResult;
public class SpeechRecognition {
    public static void main(String[] args) throws Exception {
        Configuration configuration = new Configuration();
        configuration.setAcousticModelPath("resource:/edu/cmu/sphinx/models/en-us/en-us");
        configuration.setDictionaryPath("resource:/edu/cmu/sphinx/models/en-us/cmudict-en-us.dict");
        configuration.setLanguageModelPath("resource:/edu/cmu/sphinx/models/en-us/en-us.lm.bin");
        LiveSpeechRecognizer recognizer = new LiveSpeechRecognizer(configuration);
        recognizer.startRecognition(true);
        SpeechResult result;
        while ((result = recognizer.getResult()) != null) {
            System.out.println("Recognized: " + result.getHypothesis());
        }
        recognizer.stopRecognition();
    }
}

php
require_once 'AipSpeech.php';
// 设置APPID/AK/SK
const APP_ID = 'your_app_id';
const API_KEY = 'your_api_key';
const SECRET_KEY = 'your_secret_key';
$client = new AipSpeech(APP_ID, API_KEY, SECRET_KEY);
// 读取待识别的音频文件
$fileContent = file_get_contents('test.wav');
// 调用百度语音识别接口进行识别
$result = $client->asr($fileContent, 'wav', 16000, array(
    'dev_pid' => 1536,
));
// 输出识别结果
echo "Recognized: " . $result['result'][0] . "\n";
?>