一、pom依賴

1、依賴dependency

        <!-- CMUSphinx Core Library --><dependency><groupId>edu.cmu.sphinx</groupId><artifactId>sphinx4-core</artifactId><version>5prealpha-SNAPSHOT</version></dependency><!-- CMUSphinx Data Library --><dependency><groupId>edu.cmu.sphinx</groupId><artifactId>sphinx4-data</artifactId><version>5prealpha-SNAPSHOT</version></dependency>

2、配置倉庫repository

        <repository><id>snapshots-repo</id><url>https://oss.sonatype.org/content/repositories/snapshots</url><releases><enabled>false</enabled></releases><snapshots><enabled>true</enabled></snapshots></repository>

二、下載中文資源包

進入sourceforge網站下載
點擊菜單Files，其中Acoustic and Language Models是語言資源包文件夾，下面還有sphinx不同版本的源碼，源碼中默認只包含英文資源包。

1、下載中文資源包（需要其他語言的選擇對應的文件夾即可），中文選擇Mandarin

2、將下載后的文件放到項目中

解壓后的文件

3、代碼-識別wav語音文件

好像只能識別wav格式的文件，m4a試了不行，可以自行嘗試看下結果

    public static void speechToTxt2() throws Exception {// 1、配置Configuration conf = new Configuration();conf.setAcousticModelPath("resource:/sphinx/zh/zh_cn.cd_cont_5000");conf.setDictionaryPath("resource:/sphinx/zh/zh_cn.dic");conf.setLanguageModelPath("resource:/sphinx/zh/zh_cn.lm.bin");System.out.println("Loading models...");//        conf.setAcousticModelPath("resource:/edu/cmu/sphinx/models/en-us/en-us");
//        conf.setDictionaryPath("resource:/edu/cmu/sphinx/models/en-us/cmudict-en-us.dict");Context context = new Context(conf);context.setLocalProperty("decoder->searchManager", "allphoneSearchManager");Recognizer recognizer = context.getInstance(Recognizer.class);InputStream stream = ParseUtil.class.getResourceAsStream("/sphinx/wav/2.wav");stream.skip(44);// Simple recognition with generic modelrecognizer.allocate();context.setSpeechSource(stream, TimeFrame.INFINITE);Result result;while ((result = recognizer.recognize()) != null) {SpeechResult speechResult = new SpeechResult(result);System.out.format("Hypothesis: %s\n", speechResult.getHypothesis());System.out.println("List of recognized words and their times:");for (WordResult r : speechResult.getWords()) {System.out.println(r);}//            System.out.println("Lattice contains "
//                    + speechResult.getLattice().getNodes().size() + " nodes");}recognizer.deallocate();}

輸出結果如圖
其中 Hypothesis: SIL uu o2 c j ie1 r ou3 s r ou3 x r ou1 o2 SIL 就是需要訓練的內容。
我們下載的資源文件zh_cn.dic中有已經簡單訓練的結果

4、代碼-識別實時輸入（本地pc未成功）

調用時，系統能檢測到在使用麥克風。但在recognizer.getResult()這行總是會報溢出錯誤，也有可能是輸入的設備不支持，各位可以自行嘗試。有結果可以評論學習一下，感謝。

    public static void speechToTxt() throws Exception {// 1、配置Configuration conf = new Configuration();conf.setAcousticModelPath("resource:/sphinx/zh/zh_cn.cd_cont_5000");conf.setDictionaryPath("resource:/sphinx/zh/zh_cn.dic");conf.setLanguageModelPath("resource:/sphinx/zh/zh_cn.lm.bin");// 2、語音識別器LiveSpeechRecognizer recognizer = new LiveSpeechRecognizer(conf);// 2.1 開始識別recognizer.startRecognition(true);// 2.2 識別結果SpeechResult result;while ((result = recognizer.getResult()) != null) {System.out.println(result.getHypothesis());}// 2.3 停止識別recognizer.stopRecognition();}

4.1 測試端需要有語音輸入設備

設置-系統-聲音-輸入，輸入配置中需要有輸入設備，測試麥克風可以查看此設備是否可用