Microsoft voice reconition




















Because predefined dictation and web-search grammars can be large, and because they are online not on the device , performance might not be as fast as with a custom grammar installed on the device.

These predefined grammars can be used to recognize up to 10 seconds of speech input and require no authoring effort on your part. However, they do require a connection to a network. See Exception handling for in C or Visual Basic.

We then catch any standard exceptions during recogntion and test if the HResult value is equal to the value of the HResultPrivacyStatementDeclined variable. If so, we display a warning and call await Windows. LaunchUriAsync new Uri "ms-settings:privacy-accounts" ; to open the Settings page. See SpeechRecognitionTopicConstraint. Programmatic list constraints provide a lightweight approach to creating simple grammars using a list of words or phrases.

A list constraint works well for recognizing short, distinct phrases. Explicitly specifying all words in a grammar also improves recognition accuracy, as the speech recognition engine must only process speech to confirm a match.

The list can also be programmatically updated. A list constraint consists of an array of strings that represents speech input that your app will accept for a recognition operation. You can create a list constraint in your app by creating a speech-recognition list-constraint object and passing an array of strings. Then, add that object to the constraints collection of the recognizer. Recognition is successful when the speech recognizer recognizes any one of the strings in the array.

See SpeechRecognitionListConstraint. An SRGS grammar provides the greatest control over the speech recognition experience by letting you capture multiple semantic meanings in a single recognition. For more detail, see Activate a foreground app with voice commands through Cortana.

Note The type of constraint type you use depends on the complexity of the recognition experience you want to create. Text property. You can also use the Result. Words collection. The Result.

Confidence property holds a value between 0. The demo instructs the event handler to ignore any low-confidence-recognized text. Confidence values can vary wildly depending on the complexity of your grammars, the quality of your microphone and so on. For example, if the demo program must recognize only 1 through 4, the confidence values on my machine are typically about 0.

However, if the grammar must recognize 1 through , the confidence values drop to about 0. In short, you must typically experiment with confidence values to get good speech-recognition results. Although perhaps not entirely obvious at first, the logic should make sense if you examine it for a moment. Next, the secret exit command is processed:. Notice that the speech recognition engine can in fact recognize nonsense words. Next, commands to add two numbers are processed, and the event handler, Program class and namespace finish up:.

Notice that the text in Results. The explanation of the demo program assumes you have all the necessary speech libraries installed on your machine. The SDK comes in bit and bit versions. I strongly recommend using the bit version regardless of what your host machine is. After selecting that file and clicking the Next button, you can run the installation program directly. Next, you want to install the speech runtime. Figure 6 Installing the Speech Runtime. Next, you can install the recognition language.

The download page is shown in Figure 7. The SR stands for speech recognition and the TELE stands for telephony, which means that the recognition language is designed to work with low-quality audio input, such as that from a telephone or desktop microphone.

Figure 7 Installing the Recognition Language. Finally, you can install the speech synthesis language and voice. The download page is shown in Figure 8.

The TTS stands for text-to-speech, which is essentially a synonym phrase for speech synthesis. Notice there are two English, U. There are other English, non-U. Creating synthesis files is quite difficult.

Figure 8 Installing the Synthesis Language and Voice. The Download Center UI allows you to check both a recognition language and a synthesis language, but trying to install them at the same time was disastrous for me, so I recommend installing them one at a time. In particular, in addition to the Microsoft. The two libraries are similar in the sense that the APIs are almost, but not quite, the same. Speech or Microsoft.

NET application, use the Microsoft. Speech library, not the System. Speech library. Some of the key differences are summarized in the table in Figure 9.

The System. The Microsoft. Speech DLL and an associated runtime and languages must be downloaded and installed onto a machine. Speech recognition works immediately for any user. Can you help us improve? Resolved my issue. Clear instructions. Easy to follow. No jargon. Pictures helped. Didn't match my screen. Incorrect instructions. Too technical. Not enough information.

Not enough pictures. Any additional feedback? Submit feedback. Thank you for your feedback!



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