Pocketsphinx on Android without keyword-activation search

[Alessandro]

Hi,
I integrated the library pocketsphinx-android-5prealpha lib.jar-no in my project so as described in the Wiki, everything works fine.
I need some clarification on its functioning.
In particular, I wanted to know you can start the reconnaissance without udare a keyword? I mean you can directly start continuous reconnaissance as well as works OpenEars on Ios? so that the user can continue to inpartire commands without having to utter the keyword-activation?
I hope someone can help me, rigraziandovi advance I offer my greetings.

[Nickolay V. Shmyrev]

Yes, you can. You can select any type of search from the start in the code.

[Alessandro]

Nicolay Hello and thanks for the reply.
Forgive me but I can not understand this passage.
This I have to do it in setupRecognizer?

    private void setupRecognizer(File assetsDir) throws IOException {
        // The recognizer can be configured to perform multiple searches
        // of different kind and switch between them

        recognizer = defaultSetup()
                .setAcousticModel(new File(assetsDir, "en-us-ptm"))
                .setDictionary(new File(assetsDir, "cmudict-en-us.dict"))

                // To disable logging of raw audio comment out this call (takes a lot of space on the device)
                .setRawLogDir(assetsDir)

                // Threshold to tune for keyphrase to balance between false alarms and misses
                .setKeywordThreshold(1e-45f)

                // Use context-independent phonetic search, context-dependent is too slow for mobile
                .setBoolean("-allphone_ci", true)

                .getRecognizer();
        recognizer.addListener(this);

        /** In your application you might not need to add all those searches.
         * They are added here for demonstration. You can leave just one.
         */

        // Create keyword-activation search.

        recognizer.addKeyphraseSearch(KWS_SEARCH, KEYPHRASE);

        // Create grammar-based search for selection between demos
        File menuGrammar = new File(assetsDir, "menu.gram");
        recognizer.addGrammarSearch(MENU_SEARCH, menuGrammar);

        // Create grammar-based search for digit recognition
        File digitsGrammar = new File(assetsDir, "digits.gram");
        recognizer.addGrammarSearch(DIGITS_SEARCH, digitsGrammar);

        // Create language model search
        File languageModel = new File(assetsDir, "weather.dmp");
        recognizer.addNgramSearch(FORECAST_SEARCH, languageModel);

        // Phonetic search
        File phoneticModel = new File(assetsDir, "en-phone.dmp");
        recognizer.addAllphoneSearch(PHONE_SEARCH, phoneticModel);



    }

How should I change it to get recognition without keyword-activation search?
Thank you.

[Nickolay V. Shmyrev]

       new AsyncTask<Void, Void, Exception>() {
            @Override
            protected Exception doInBackground(Void... params) {
                try {
                    Assets assets = new Assets(PocketSphinxActivity.this);
                    File assetDir = assets.syncAssets();
                    setupRecognizer(assetDir);
                } catch (IOException e) {
                    return e;
                }
                return null;
            }

            @Override
            protected void onPostExecute(Exception result) {
                if (result != null) {
                    ((TextView) findViewById(R.id.caption_text))
                            .setText("Failed to init recognizer " + result);
                } else {
                    switchSearch(FORECAST_SEARCH);
                }
            }
        }.execute();

......

private void setupRecognizer(File assetsDir) throws IOException {
        recognizer = defaultSetup()
                .setAcousticModel(new File(assetsDir, "en-us-ptm"))
                .setDictionary(new File(assetsDir, "cmudict-en-us.dict"))

                // To disable logging of raw audio comment out this call (takes a lot of space on the device)
                .setRawLogDir(assetsDir)

                .getRecognizer();
        recognizer.addListener(this);
        // Create language model search
        File languageModel = new File(assetsDir, "weather.dmp");
        recognizer.addNgramSearch(FORECAST_SEARCH, languageModel);
    }

[Alessandro]

Thank you so much great !