speech-recognition

I have the Dragon Mobile SDK running nicely on Windows Phone 7 and I would like to get the equivalent functionality working for iOS. Since the SDK wraps the microphone, it's not really possible to use the .NET assemblies in my MonoTouch project (even if I did have the source). It appears that the best way to do this is to create a binding library (as Miguel describes here ). It sure seems like a lot of work though, and I would love to reuse as opposed to reinventing the wheel if someone's done it already... Here are some more details for how I got this to work. I downloaded the binding sample

How to get the engine to successfully recognize a phrase from a voice file (wav/mp3/etc..)? For example, if I'll have a voice file and a written text of the context of the same file, so to make it recognize the written words in the voice file. I tried to play around with the SpeechRecognitionEngine, but without success so far. I'll appreciate ideas, since this is my first time dealing with Speech Recognition techniques. I've seen examples of speech-to-text using dictionaries, but I'm not sure how it can be useful here. I was thinking of maybe converting the all voice file to text, and then

I started using google speech api to transcribe audio. The audio being transcribed contains many numbers spoken one after the other. E.g. 273 298 But the transcription comes back 270-3298 My guess is that it is interpreting it as some sort of phone number. What i want is unparsed output e.g. "two seventy three two ninety eight' which i can deal with and parse on my own. Is there a setting or support for this kind of thing? thanks Try passing a speech context with some phrase hints. How to use it is documented here: https://cloud.google.com/speech/docs/basics#phrase-hints Give it the spelled

I'm making an app that will work with Android Wear, And I wanted to implement a command into Google's "Ok Google" option. I saw this page: http://developer.android.com/training/wearables/apps/voice.html But it's related only to apps that include Activities in the Android Wear. I wanted to ask: Can I add custom commands? I mean, those who does not start with the word "Start"? Can I add commands that will do another thing than just opening the app? Like running a method? If it's not the place to ask this, can you give me an email/link to Google Developers help/support? thanks. For apps that run

I need to use speech input to insert text. How can i detect keyword when I'm speaking ? Can i do this with Android Speech Input or I need external library ? Any ideas ? Thanks Nikolay Shmyrev Keyword detection task is different from a speech recognition task. While second tries to understand the text being spoken and check all possible word combinations, keyword spotting usually check two hypothesis - word is here or garbage is here. Its way more efficient to check keyword presence but it requires custom algorithm. You can implement one with the open source speech recognition toolkit like

I am new to SAPI, and I would really appreciate if any of you can provide me a speech to text Hello World example in SAPI. I know MS got some examples like "Dictation" etc, but I would like to start with a very small one. Glad if you can help. I played a bit with Windows Voice Recognition using SAPI, it really isn't user friendly. Here is an example of code I wrote (in C++) : #include <sphelper.h> #include <sapi.h> #include <iostream> #include <string> const ULONGLONG grammarId = 0; const wchar_t* ruleName1 = L"ruleName1"; int start_listening(const std::string& word); ISpRecoGrammar* init

I am currently busy with speech recognition, and I want speech recognizer to listen me continously, forever. The purpose of the app is, it is going to wait for speech of a specific keyword: when the user says this keyword, the service becomes ready to receive user voice commands After research I found that we can manupulate the time that the recognizer listens. By these constants: By the way the default recognizer service listens about 10 seconds. (The google api) String EXTRA_SPEECH_INPUT_COMPLETE_SILENCE_LENGTH_MILLIS The amount of time that it should take after we stop hearing speech to