A reusable, local-first speech runtime for .NET 8 and .NET 10. Built on Microsoft.Extensions.AI provider boundaries — works with local models (Whisper, VibeVoice, Qwen-TTS, Ollama) and cloud providers (Azure OpenAI, OpenAI) without changing orchestration code.
Audio input
↓
Audio normalization · resampling · framing · buffering
↓
Voice Activity Detection (Silero VAD)
↓
Turn detection · utterance assembly
↓
ISpeechToTextClient
↓
IChatClient
↓
Streaming text segmentation
↓
ITextToSpeechClient
↓
Audio output
dotnet add package ElBruno.Speech.Pipeline
dotnet add package ElBruno.Speech.Vad.SileroInstall the CLI tool globally:
dotnet tool install -g ElBruno.Speech.Cli
elbrunospeech --help// Register providers
services.AddWhisper(o => o.Model = KnownWhisperModels.WhisperBaseEn);
services.AddLocalLLMs(o => o.Model = KnownModels.Phi35MiniInstruct);
services.AddVibeVoiceTTS(o => o.SampleRate = 24_000);
services.AddSileroVad(o => o.MinimumSilenceDuration = TimeSpan.FromMilliseconds(500));
// Build the pipeline
services.AddSpeechPipeline(builder =>
{
builder
.UseVoiceActivityDetector<SileroVoiceActivityDetector>()
.UseSpeechToText(sp => sp.GetRequiredService<ISpeechToTextClient>())
.UseChatClient(sp => sp.GetRequiredService<IChatClient>())
.UseTextToSpeech(sp => sp.GetRequiredService<ITextToSpeechClient>())
.UseSentenceChunking(o =>
{
o.MinimumCharacters = 24;
o.MaximumCharacters = 220;
o.FlushTimeout = TimeSpan.FromMilliseconds(350);
})
.UseBargeIn(o => o.CancelOnSpeechStart = true);
});
// Use it
var pipeline = sp.GetRequiredService<ISpeechPipeline>();
await using var session = await pipeline.CreateSessionAsync();
await session.WriteAudioAsync(frame);
await foreach (var update in session.GetUpdatesAsync())
{
// SpeechStartedUpdate, FinalTranscriptUpdate, AssistantAudioChunkUpdate, ...
}elbrunospeech devices # list audio input/output devices
elbrunospeech transcribe recording.wav # transcribe a WAV file
elbrunospeech vad recording.wav # run voice activity detection
elbrunospeech talk "Hello world" out.wav # synthesize text to WAVbuilder.Services.AddOpenTelemetry()
.AddSpeechPipelineTelemetry(); // meter: ElBruno.Speech, source: ElBruno.Speech
// Aspire automatically configures OTLP export via OTEL_EXPORTER_OTLP_ENDPOINT| Sample | Description |
|---|---|
FileToSpeech |
WAV file → transcript → answer → WAV output |
LocalVoiceAgent |
Microphone → VAD → Whisper → LLM → VibeVoice → speaker (barge-in) |
WebSocketVoiceAgent |
ASP.NET Core WebSocket endpoint + browser client |
AspireVoiceAgent |
Full Aspire AppHost with tracing, metrics, and dashboard |
- ElBruno.Whisper —
ISpeechToTextClientvia ONNX Whisper - ElBruno.LocalLLMs —
IChatClientfor local LLMs - ElBruno.VibeVoiceTTS —
ITextToSpeechClientvia VibeVoice - ElBruno.QwenTTS —
ITextToSpeechClientvia Qwen3-TTS - ElBruno.HuggingFace.Downloader — model downloads
- .NET 8.0 or .NET 10.0
- Windows, Linux, or macOS
- NAudio package requires Windows (microphone/speaker I/O)
git clone https://github.com/elbruno/ElBruno.Speech.git
cd ElBruno.Speech
dotnet restore
dotnet build
dotnet test --filter "Category!=Integration"MIT — see LICENSE.
Hi! I'm ElBruno 🧡, a passionate developer and content creator exploring AI, .NET, and modern development practices.
Made with ❤️ by ElBruno
If you like this project, consider following my work across platforms:
- 📻 Podcast: No Tienen Nombre — Spanish-language episodes on AI, development, and tech culture
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- 📺 YouTube: youtube.com/elbruno — Demos, tutorials, and live coding
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- 𝕏 Twitter: @elbruno — Quick tips, releases, and tech news
- Microsoft.Extensions.AI — ISpeechToTextClient, IChatClient, ITextToSpeechClient interfaces
- Silero VAD — voice activity detection model
- ONNX Runtime — local model inference
- NAudio — Windows audio I/O
