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AssemblyAI Introduces C#. WEB SDK for Advanced Sound Transcription as well as Analysis #.\n\nLuisa Crawford.\nSep 03, 2024 05:37.\n\nAssemblyAI discharges a C#. INTERNET SDK, allowing designers to translate and also analyze audio, and apply LLMs making use of LeMUR.\n\n\n\n\nAssemblyAI has actually declared the release of its own brand new C#. WEB SDK, created to promote audio transcription and analysis for creators utilizing.NET languages including C#, VB.NET, and also F#. The SDK intends to improve the use of AssemblyAI's enhanced Speech AI designs, according to AssemblyAI.\nKey Components and Goals.\nThe SDK has been actually cultivated along with many essential objectives in mind:.\n\nDeliver an intuitive interface for all AssemblyAI styles and also components making use of colloquial C

.Make sure being compatible along with a number of structures, including.NET 6.0,. NET Framework 4.6.2, and.NET Standard 2.0 and above.Reduce dependencies to stop variation conflicts as well as the necessity for tiing redirects.Transcribing Audio Data.Among the primary functions of the SDK is actually audio transcription. Designers may translate audio data asynchronously or even in real-time. Below is an example of just how to translate an audio file:.using AssemblyAI.using AssemblyAI.Transcripts.var customer = new AssemblyAIClient(" YOUR_API_KEY").var transcript = wait for client.Transcripts.TranscribeAsync( brand-new TranscriptParams.AudioUrl="https://storage.googleapis.com/aai-docs-samples/nbc.mp3". ).transcript.EnsureStatusCompleted().Console.WriteLine( transcript.Text).For regional files, identical code can be utilized to accomplish transcription.await using var flow = brand-new FileStream("./ nbc.mp3", FileMode.Open).var transcript = await client.Transcripts.TranscribeAsync(.stream,.new TranscriptOptionalParams.LanguageCode = TranscriptLanguageCode.EnUs.).transcript.EnsureStatusCompleted().Console.WriteLine( transcript.Text).Real-Time Sound Transcription.The SDK additionally sustains real-time audio transcription utilizing Streaming Speech-to-Text. This feature is actually specifically useful for uses requiring quick processing of audio information.using AssemblyAI.Realtime.wait for utilizing var scribe = brand new RealtimeTranscriber( brand-new RealtimeTranscriberOptions.ApiKey="YOUR_API_KEY",.SampleRate = 16_000. ).transcriber.PartialTranscriptReceived.Subscribe( records =&gtConsole.WriteLine($" Limited: transcript.Text "). ).transcriber.FinalTranscriptReceived.Subscribe( transcript =&gtConsole.WriteLine($" Ultimate: transcript.Text "). ).await transcriber.ConnectAsync().// Pseudocode for acquiring sound from a mic as an example.GetAudio( async (chunk) =&gt wait for transcriber.SendAudioAsync( chunk)).await transcriber.CloseAsync().Utilizing LeMUR for LLM Apps.The SDK includes with LeMUR to allow programmers to develop big foreign language model (LLM) applications on voice information. Right here is an instance:.var lemurTaskParams = brand-new LemurTaskParams.Cause="Deliver a quick conclusion of the records.",.TranscriptIds = [transcript.Id],.FinalModel = LemurModel.AnthropicClaude3 _ 5_Sonnet..var action = await client.Lemur.TaskAsync( lemurTaskParams).Console.WriteLine( response.Response).Audio Intelligence Models.Also, the SDK possesses integrated help for audio knowledge models, enabling sentiment study and also various other advanced components.var transcript = await client.Transcripts.TranscribeAsync( new TranscriptParams.AudioUrl="https://storage.googleapis.com/aai-docs-samples/nbc.mp3",.SentimentAnalysis = real. ).foreach (var cause transcript.SentimentAnalysisResults!).Console.WriteLine( result.Text).Console.WriteLine( result.Sentiment)// GOOD, NEUTRAL, or even NEGATIVE.Console.WriteLine( result.Confidence).Console.WriteLine($" Timestamp: result.Start - result.End ").To learn more, explore the formal AssemblyAI blog.Image source: Shutterstock.

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