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Hey guys. I want to learn how to make a speech recognition program. I don't want it to be JUST commands. I don't want it to be JUST dictating either. I want it to be commands, dictation, and I want it to be kind of like talking to a real person, like having conversations. I know that it's going to take alot of work but I believe like I can do it. To start of simple I want to learn how to use SAPI to do speech to text. I know how to do text to speech but not the other way around. I'm just going to build a little bit at a time. I was wondering if anyone could find me any good and reliable tutorials, examples, or open source software. I've tried looking but I'm not sure what's reliable and not. Again I'm starting small so just speech to text. Then I'll build my way up slowly. And I'm just guessing that C# is the language to do this in so if someone knows a better language please tell me. Preferablly VB.Net, C#, or C++. Thank you for your time. :)

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A focused starting plan for (and thanks to for the links you found): for a Windows-only prototype that mixes commands, free dictation and simple conversational turns, use the managed SAPI surface in .NET (System.Speech). It gives a quick in-process recognizer you can drive from C# or VB.NET, so you can learn the event model, grammars and confidence scoring before moving to heavier solutions. See the SpeechRecognitionEngine docs for the API surface. (learn.microsoft.com)

A practical pattern to support both commands and dictation is to load two grammar types and route results by grammar name or semantics. Load a small, strict grammar for commands (fast, high precision) and also load a DictationGrammar for free text; enable/disable or load/unload grammars when context changes, and use the SpeechRecognized event plus the RecognitionResult.Confidence value to decide what to trust. Example starter (C#):

using System.Speech.Recognition;

var engine = new SpeechRecognitionEngine(new System.Globalization.CultureInfo("en-US"));
engine.LoadGrammar(new DictationGrammar());                  // free text
engine.LoadGrammar(new Grammar(new GrammarBuilder(new Choices("open","close","save"))){Name="cmds"});
engine.SpeechRecognized += (s,e) => {
  if (e.Result.Confidence < 0.6) return;
  if (e.Result.Grammar.Name == "cmds") /* handle command */;
  else Console.WriteLine(e.Result.Text); // dictation
};
engine.SetInputToDefaultAudioDevice();
engine.RecognizeAsync(RecognizeMode.Multiple);

The DictationGrammar and the grammar lifecycle are documented here. (learn.microsoft.com)

When you outgrow local SAPI (better accuracy, custom models, cross-platform or scale), consider cloud and offline alternatives: the Azure Speech SDK for production-grade, multi-language cloud or custom models (Speech SDK documentation). For on-device/offline options look at Vosk (C# bindings, small models) or CMUSphinx/PocketSphinx as lightweight open-source choices. (learn.microsoft.com)

Quick troubleshooting checklist: use a good mic and proper sample rate, pick the correct recognizer locale, start with tiny command grammars to validate flow, check RecognitionResult.Alternates and Confidence, and log audio + events while you iterate. Once the basics work, add a lightweight NLU (rule-based or intent parser) to map text to actions and then expand toward multi-turn conversation.

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Member Avatar for Programmer629

lol if only I had a brain lmao thx so much. if anyone else has anything id still like some more info

Member Avatar for Pilot122x

Your welcome and lol

commented: one is the importenet +0
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