Google Voice is one of the most popular apps for call forwarding and voicemail services, voice and text messaging. Voice typing is not only more convenient and accessible, in some situations it can be the safest option as well. It seems like there are new applications for voice to text technology all the time. NET Framework, so I don't know how much is it customizable.How to Use Google Voice for Transcriptions This being said, I haven't used this part of.
MICROSOFT WORD SPEECH TO TEXT ONLY LETTERS WINDOWS
Since speech recognition in Windows can also be trained for a specific voice/pronunciation, there might be a way to train it for specific words (in your case, single letters). I don't think the fact that you've specified just letters is relevant: it may be that the Grammar is still interpreting this as words, although Windows' Text to Speech understands that single letters are actually letters, not words. What is happening, I imagine, is that the recognition engine in your application is trying to understand words, and is unable to do that because you are pronouncing only letters. While the first three points may help improving the recognition in general, I think you should first focus on the last two points. For example, asking the engine to type what you say is much more difficult than asking it to understand just four commands: "start", "stop", "move left" and "move right". If you tell "eglefont", none of the engines will be able to write the word.Ĭontextual subsets: if the dictionary is bound to a context, it will be easier for the engine to understand you. For example, if you pronounce "elephant", it has a good chance of getting it right. At the same time, it understands practically everything when my girlfriend is speaking.ĭictionary: if you pronounce words which actually exist, speech recognition engine may improve its process by using a dictionary of words.
Pronunciation: for instance, I'm not a native English speaker and have a poor accent, and when I tried to use Google's speech recognition, half of the time, Google understands something else. Studio microphones will give the best results, I imagine.Įnvironment: you'll have hard time making speech recognition work in a noisy environment compared to a quiet one (ideally a studio). Microphone: as you noted, a headset microphone is better than the one in your laptop. The quality of speech recognition depends on many parameters: Private void button3_Click(object sender, EventArgs e)īasically is there a way to create a program that can improve the application's UNDERSTANDING of what I am speaking? Like Windows Speech Recognition does by making us read text and then understanding how I speak words or whatever, except that that is too tedious :P TextBox1.Text = textBox1.Text + " " + e.Result.Text Void sRecognize_SpeechRecognized(object sender, SpeechRecognizedEventArgs e) SRecognize.RecognizeAsync(RecognizeMode.Multiple) SRecognize.SetInputToDefaultAudioDevice() SRecognize.SpeechRecognized += sRecognize_SpeechRecognized Grammar gr = new Grammar(new GrammarBuilder(sList)) Private void button2_Click(object sender, EventArgs e) Private void button1_Click(object sender, EventArgs e) Private void Form1_Load(object sender, EventArgs e) SpeechRecognitionEngine sRecognize = new SpeechRecognitionEngine() PromptBuilder pBuilder = new PromptBuilder() SpeechSynthesizer sSynth = new SpeechSynthesizer() Is there a way to improve my program? using System It's worse with the default microphone on my Lenovo laptop.īut it is weird that the Google speech recognition thing on the Google Search Engine works perfectly, with or without mike. This is extremely irritating and though it works with the microphone on my Logitech headset, it still doesn't recognize what I am saying sometimes. The Virtual Keyboard part and linking it to Speech Recognition will be done easily but the problem I am suffering is that the Speech Recognition is inefficient!įor example I say 'c' and it takes it as 'v' or something. I want to create a Virtual Keyboard that can catch whatever key you 'speak' and send the keystroke to the active application.
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