shiny-speech

name	shiny-speech
description	Generate code using Shiny.Speech for cross-platform speech-to-text, text-to-speech, audio capture, and audio playback with pluggable cloud providers
auto_invoke	true
triggers	["speech to text","text to speech","speech recognition","voice recognition","tts","stt","speak","dictation","transcribe","synthesize speech","audio capture","audio playback","microphone","ISpeechToTextService","ITextToSpeechService","IAudioSource","IAudioPlayer","ISpeechToTextProvider","ITextToSpeechProvider","SpeechRecognitionResult","SpeechRecognitionOptions","SpeechRecognitionError","TextToSpeechOptions","VoiceInfo","AccessState","ResultReceived","KeywordHeard","StatementAfterKeyword","WaitListenForKeywords","ListenForKeywords","ListenUntilSilence","SpeakAsync","[Truncated]"]

Shiny Speech Skill

You are an expert in Shiny Speech, a library that provides cross-platform speech-to-text, text-to-speech, audio capture, and audio playback for .NET MAUI and Blazor WebAssembly with pluggable cloud providers.

When to Use This Skill

Invoke this skill when the user wants to:

• Add speech-to-text (STT) or text-to-speech (TTS) to a .NET MAUI app
• Capture audio from the device microphone
• Play audio streams on the device
• Use Azure AI Speech for cloud-based STT/TTS
• Use ElevenLabs for cloud-based TTS
• Implement a custom cloud speech provider
• Configure speech recognition options (language, silence timeout, on-device preference, keywords)
• Configure text-to-speech options (voice, rate, pitch, volume)
• List available TTS voices
• Start/stop continuous speech recognition with event-based results
• Implement listen-until-silence dictation
• Implement wake word / keyword activation ("Hey Siri" style)
• Implement keyword listening (listen until a specific keyword is detected)
• Listen for keywords continuously as an async stream
• Add speech-to-text or text-to-speech to a Blazor WebAssembly app
• Use the Web Speech API via Shiny.Speech in the browser

Library Overview

GitHub: https://github.com/shinyorg/speech NuGet Packages:

• Shiny.Speech — Core library with platform-native STT, TTS, audio capture, and playback
• Shiny.Speech.Cloud — Cloud provider abstractions
• Shiny.Speech.Azure — Azure AI Speech provider
• Shiny.Speech.ElevenLabs — ElevenLabs TTS provider

Namespace: Shiny.Speech

Shiny Speech provides:

• Platform-native speech-to-text via ISpeechToTextService (iOS, Android, Windows, Browser/WASM)
• Event-based recognition model — ResultReceived, KeywordHeard, Error events allow multiple subscribers
• Start/Stop lifecycle — call Start() to begin listening, Stop() to end; Start() throws if already listening
• Built-in keyword detection — set Keywords in SpeechRecognitionOptions and subscribe to KeywordHeard
• Platform-native text-to-speech via ITextToSpeechService (iOS, Android, Windows, Browser/WASM)
• Platform-native audio capture via IAudioSource (raw PCM 16kHz, 16-bit, mono — all platforms including browser)
• Platform-native audio playback via IAudioPlayer (MP3 format; browser uses HTML5 Audio via base64 data URL)
• Pluggable cloud provider architecture via ISpeechToTextProvider and ITextToSpeechProvider
• Azure AI Speech integration (STT + TTS)
• ElevenLabs integration (Scribe STT + TTS)
• Convenience extension methods: ListenUntilSilence, StatementAfterKeyword, WaitListenForKeywords, ListenForKeywords
• Permission management via AccessState and RequestAccess()
• VU meter signal — AudioLevelChanged event on ITextToSpeechService and IAudioPlayer emits a normalized 0.0–1.0 RMS level during playback; IsPlayerAnalysisSupported reports per-platform availability

Setup

1. Install NuGet Packages

For platform-native speech only:

dotnet add package Shiny.Speech

For Azure AI Speech (cloud STT + TTS):

dotnet add package Shiny.Speech
dotnet add package Shiny.Speech.Azure

For ElevenLabs (cloud TTS):

dotnet add package Shiny.Speech
dotnet add package Shiny.Speech.ElevenLabs

2. Configure in MauiProgram.cs (or Blazor Program.cs)

Platform-native speech services:

builder.Services.AddSpeechServices(); // Registers STT, TTS, AudioSource, AudioPlayer
// On Browser/WASM: auto-detected via OperatingSystem.IsBrowser()

Or register individually:

builder.Services.AddSpeechToText();   // ISpeechToTextService only
builder.Services.AddTextToSpeech();   // ITextToSpeechService only
builder.Services.AddAudioSource();    // IAudioSource only
builder.Services.AddAudioPlayer();    // IAudioPlayer only

Azure AI Speech (replaces platform-native with cloud):

builder.Services.AddAzureSpeech("your-subscription-key", "eastus");
// Automatically registers IAudioSource and IAudioPlayer for platform audio I/O

Or with config object and selective services:

builder.Services.AddAzureSpeech(
    new AzureSpeechConfig { SubscriptionKey = "key", Region = "eastus" },
    speechToText: true,
    textToSpeech: true
);

ElevenLabs (replaces platform-native STT/TTS with cloud — Scribe + TTS):

// Register both STT (Scribe) and TTS at once
builder.Services.AddElevenLabsSpeech("your-api-key");

// Or selectively
builder.Services.AddElevenLabsSpeechToText("your-api-key"); // Scribe STT only
builder.Services.AddElevenLabsTextToSpeech("your-api-key"); // TTS only
// Auto-registers IAudioSource and/or IAudioPlayer for platform audio I/O as needed

// With a config object — overrides default Scribe model / TTS model / voice
builder.Services.AddElevenLabsSpeech(new ElevenLabsConfig
{
    ApiKey = "your-api-key",
    SpeechToTextModel = "scribe_v1",
    TextToSpeechModel = "eleven_multilingual_v2",
    DefaultVoiceId = "21m00Tcm4TlvDq8ikWAM"
});

ElevenLabs Scribe is request/response, not streaming: results are yielded as a single final SpeechRecognitionResult when the user calls Stop() (the captured audio is buffered, wrapped in a WAV container, and posted to /v1/speech-to-text). For continuous partial results, use Azure instead.

3. Platform Permissions

Android — Add to AndroidManifest.xml:

<uses-permission android:name="android.permission.RECORD_AUDIO" />
<uses-permission android:name="android.permission.MODIFY_AUDIO_SETTINGS" />

MODIFY_AUDIO_SETTINGS is required for the TTS audio-level Visualizer and for the native STT beep suppression.

iOS — Add to Info.plist:

<key>NSSpeechRecognitionUsageDescription</key>
<string>This app uses speech recognition</string>
<key>NSMicrophoneUsageDescription</key>
<string>This app uses the microphone for speech recognition</string>

Browser (Blazor WebAssembly) — No manifest changes needed. The browser prompts the user for microphone access automatically. Include the JS interop module in index.html:

<script src="shiny-speech.js"></script>

Note: IAudioSource captures raw PCM audio in the browser using the Web Audio API (getUserMedia + ScriptProcessorNode), downsampled to 16kHz 16-bit mono — the same format as other platforms.

Code Generation Instructions

1. Speech-to-Text Usage

Always check permissions before using STT. The service uses a Start/Stop model with events.

public class MyViewModel(ISpeechToTextService stt)
{
    async Task StartListening()
    {
        var access = await stt.RequestAccess();
        if (access != AccessState.Available)
            return;

        // Subscribe to events (multiple subscribers allowed)
        stt.ResultReceived += (s, result) =>
        {
            // result.Text — recognized text
            // result.IsFinal — true when segment is finalized
            // result.Confidence — optional confidence score (0-1)
        };

        stt.KeywordHeard += (s, keyword) =>
        {
            // keyword — the matched keyword string
        };

        stt.Error += (s, error) =>
        {
            // error.Message — error description
            // error.Exception — optional exception
        };

        // Start listening (throws InvalidOperationException if already listening)
        await stt.Start(new SpeechRecognitionOptions
        {
            Culture = CultureInfo.GetCultureInfo("en-US"),
            SilenceTimeout = TimeSpan.FromSeconds(3),
            PreferOnDevice = true,
            Keywords = ["Yes", "No", "Maybe"]  // optional keyword detection
        });
    }

    async Task StopListening()
    {
        await stt.Stop(); // no-op if not listening
    }
}

Extension Methods (Convenience Patterns)

public class MyViewModel(ISpeechToTextService stt)
{
    async Task SimpleDictation(CancellationToken ct)
    {
        // Listen until silence — starts, waits for first final result, stops
        var text = await stt.ListenUntilSilence(
            new SpeechRecognitionOptions
            {
                Culture = CultureInfo.GetCultureInfo("en-US"),
                SilenceTimeout = TimeSpan.FromSeconds(3)
            },
            ct
        );
    }

    async Task WakeWordActivation(CancellationToken ct)
    {
        // "Hey Computer, do something" → returns "do something"
        // Waits for keyword, then captures next final statement
        var command = await stt.StatementAfterKeyword(
            ["Hey Computer"],
            cancellationToken: ct
        );
    }

    async Task WaitForAnswer(CancellationToken ct)
    {
        // Wait for one specific keyword (with optional timeout)
        var answer = await stt.WaitListenForKeywords(
            ["Yes", "No", "Maybe"],
            timeout: TimeSpan.FromSeconds(30),
            cancellationToken: ct
        );
        // Returns matched keyword or null on timeout
    }

    async Task ContinuousKeywords(CancellationToken ct)
    {
        // Stream keywords continuously as IAsyncEnumerable
        await foreach (var keyword in stt.ListenForKeywords(
            ["Up", "Down", "Left", "Right"],
            cancellationToken: ct))
        {
            Console.WriteLine($"Direction: {keyword}");
        }
    }
}

2. Text-to-Speech Usage

public class MyViewModel(ITextToSpeechService tts)
{
    async Task Speak()
    {
        // Simple speech
        await tts.SpeakAsync("Hello, world!");

        // With options
        await tts.SpeakAsync("Hello, world!", new TextToSpeechOptions
        {
            SpeechRate = 1.2f,
            Pitch = 1.0f,
            Volume = 0.8f,
            Culture = CultureInfo.GetCultureInfo("en-US")
        });

        // List available voices
        var voices = await tts.GetVoicesAsync();
        var voice = voices.FirstOrDefault(v => v.Name.Contains("Neural"));

        // Speak with specific voice
        await tts.SpeakAsync("Hello!", new TextToSpeechOptions { Voice = voice });

        // Stop speaking
        if (tts.IsSpeaking)
            await tts.StopAsync();
    }
}

3. Audio Capture

public class MyViewModel(IAudioSource audioSource)
{
    async Task CaptureAudio(CancellationToken ct)
    {
        // Returns raw PCM stream (16kHz, 16-bit, mono)
        await using var stream = await audioSource.StartCaptureAsync(ct);

        // Read audio data from stream...
        // Stream remains open until StopCaptureAsync is called

        await audioSource.StopCaptureAsync();
    }
}

4. Audio Playback

public class MyViewModel(IAudioPlayer audioPlayer)
{
    async Task PlayAudio(Stream mp3Stream, CancellationToken ct)
    {
        // Play MP3 format audio
        await audioPlayer.PlayAsync(mp3Stream, ct);

        // Check playback state
        if (audioPlayer.IsPlaying)
            await audioPlayer.StopAsync();
    }
}

5. VU Meter (Audio Level)

Subscribe to AudioLevelChanged on ITextToSpeechService (native + cloud TTS) or IAudioPlayer (generic audio playback). Each emitted value is a normalized RMS level in 0.0–1.0. Always gate UI on IsPlayerAnalysisSupported — it is false on Windows native TTS and Browser.

public partial class TtsViewModel(ITextToSpeechService tts) : ObservableObject
{
    [ObservableProperty] double audioLevel; // bind to ProgressBar.Progress
    public bool IsVuSupported => tts.IsPlayerAnalysisSupported;

    public TtsViewModel(ITextToSpeechService tts) : this(tts)
        => tts.AudioLevelChanged += (_, level) =>
            MainThread.BeginInvokeOnMainThread(() => AudioLevel = level);
}

Platform behaviour:

Surface	iOS / macOS	Android	Windows	Browser
Native TTS (ITextToSpeechService)	✅ AVAudioEngine + player-node tap	✅ OnAudioAvailable PCM RMS	❌	❌
Cloud TTS (CloudTextToSpeech)	✅ forwarded from IAudioPlayer	✅ forwarded from IAudioPlayer	❌	❌
Generic playback (IAudioPlayer)	✅ AVAudioPlayer.MeteringEnabled	✅ Visualizer on session	❌	❌

Apple native TTS plays through AVAudioEngine + AVAudioPlayerNode so a tap on the player node can compute RMS. The engine is created lazily on first speak and kept warm — first utterance adds ~50–150 ms; subsequent utterances are indistinguishable. Reset AudioLevel to 0 on speak completion / StopAsync so the meter drains.

5. Custom Cloud Provider

Implement ISpeechToTextProvider and/or ITextToSpeechProvider:

public class MyCloudSttProvider : ISpeechToTextProvider
{
    // Required: surface non-fatal errors (e.g. a transient network blip between
    // chunked requests in continuous mode) without aborting the IAsyncEnumerable.
    // CloudSpeechToText subscribes to this and forwards to ISpeechToTextService.Error.
    public event EventHandler<SpeechRecognitionError>? Error;

    public async IAsyncEnumerable<SpeechRecognitionResult> RecognizeAsync(
        Stream audioStream,
        SpeechRecognitionOptions? options = null,
        [EnumeratorCancellation] CancellationToken cancellationToken = default)
    {
        // Send audioStream to your cloud API
        // Yield results as they arrive
        try
        {
            yield return new SpeechRecognitionResult("Hello", IsFinal: true, Confidence: 0.95f);
        }
        catch (HttpRequestException ex)
        {
            // Non-fatal: signal the error and let the session keep running.
            // Throwing instead would terminate the enumerator and end the session.
            Error?.Invoke(this, new SpeechRecognitionError(ex.Message, ex));
        }
    }
}

// Register in DI (IAudioSource is auto-registered)
builder.Services.AddCloudSpeechToText<MyCloudSttProvider>();

Best Practices

1. Always check permissions — Call RequestAccess() before STT operations
2. Use Start/Stop lifecycle — Call Start() to begin, Stop() to end; Start() throws if already listening
3. Subscribe before starting — Attach event handlers before calling Start() to avoid missing results
4. Unsubscribe on stop — Remove event handlers after calling Stop() to avoid leaks
5. Use extension methods for common patterns — ListenUntilSilence, StatementAfterKeyword, WaitListenForKeywords, ListenForKeywords handle Start/Stop/event wiring for you
6. Dispose audio resources — IAudioSource and IAudioPlayer implement IAsyncDisposable
7. Use ListenUntilSilence — For simple dictation scenarios
8. Use StatementAfterKeyword — For "Hey Siri" style wake word activation
9. Use WaitListenForKeywords — For yes/no/choice scenarios
10. Use ListenForKeywords — For continuous keyword detection as an async stream
11. Platform services auto-registered — Cloud providers automatically register IAudioSource and IAudioPlayer as needed via TryAdd, so manual registration is no longer required
12. Handle AccessState — Check for NotSupported, Denied, and Restricted states
13. Use IsListening/IsSpeaking/IsPlaying — Check state before starting new listening/speech/playback
14. Configure silence timeout — Default 2 seconds; adjust for your use case
15. Use PreferOnDevice — Set to true for offline-capable STT when available
16. Browser detection is automatic — AddSpeechServices() uses OperatingSystem.IsBrowser() at runtime to register browser implementations; no conditional code needed in your app
17. Browser audio capture is supported — IAudioSource captures raw PCM via the Web Audio API (getUserMedia + ScriptProcessorNode), downsampled to 16kHz 16-bit mono
18. Include the JS interop module — Blazor WASM apps must include shiny-speech.js in index.html for speech services to work