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Usage Patterns
- follow this usage pattern when using the module
- look at examples for more info, located in speakpython/SpeakPython/examples/
- required files can be found in speakpython/SpeakPython/bin
For Purely Text-Based Applications
#!Python #################################### #for purely text-based applications# #################################### # add the following lines to your imports: from SpeakPython.SpeakPython import SpeakPython from SpeakPython.Result import Result sp = SpeakPython("[appName].db"); r = sp.matchResult(input); if r == None: #couldn't match anything else: rStr = r.getResult(); #now do something with the resulting output string such as: #direct execution exec rStr; #simple output print rStr; #system control commands #(see SpeakPython/examples/LinuxCommands/) #parsing output for execution/post-processing #(depends on parse)
For Speech Applications
#!Python ##################################### #for speech recognition applications# ##################################### #taken from the HouseCommands example from SpeakPython.SpeakPythonRecognizer import SpeakPythonRecognizer #define callback function with 1 parameter (string) def execute(s): print s; #exec s; #creates recognition instance #param 1 - function accepting 1 string argument - used as callback #param 2 - appName - used to read [appName].fsg and [appName].db recog = SpeakPythonRecognizer(execute, "houseCommands"); # sets the level of debug output # 1 is the most output, 10 is the least # default level is 3 #recog.setDebug(1); #call this to start recognizing speech #I believe this call utilizes current thread. Please multi-thread it yourself if necessary. recog.recognize();
Take a look at the SPS file format for instructions on creating a file used for recognition.
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