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AssemblyAI Reveals C#. NET SDK for Advanced Audio Transcription as well as Review #.\n\nLuisa Crawford.\nSep 03, 2024 05:37.\n\nAssemblyAI discharges a C#. WEB SDK, permitting programmers to transcribe and study sound, and apply LLMs using LeMUR.\n\n\n\n\nAssemblyAI has actually revealed the launch of its own brand new C#. WEB SDK, designed to promote audio transcription and also analysis for creators utilizing.NET languages including C#, VB.NET, as well as F#. The SDK strives to streamline the use of AssemblyAI's state-of-the-art Pep talk AI designs, depending on to AssemblyAI.\nTrick Features and Objectives.\nThe SDK has been established along with numerous essential objectives in thoughts:.\n\nDeliver an instinctive user interface for all AssemblyAI models and attributes utilizing colloquial C

.Make certain compatibility along with numerous frameworks, including.NET 6.0,. Internet Platform 4.6.2, and.NET Requirement 2.0 and also above.Lessen addictions to prevent model conflicts and also the necessity for binding redirects.Recording Audio Data.Some of the major functionalities of the SDK is actually audio transcription. Designers can easily translate audio data asynchronously or even in real-time. Below is actually an instance of just how to transcribe an audio data:.making use of 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 neighborhood documents, similar code may be utilized to attain transcription.wait for utilizing var stream = brand-new FileStream("./ nbc.mp3", FileMode.Open).var transcript = await client.Transcripts.TranscribeAsync(.flow,.brand-new TranscriptOptionalParams.LanguageCode = TranscriptLanguageCode.EnUs.).transcript.EnsureStatusCompleted().Console.WriteLine( transcript.Text).Real-Time Sound Transcription.The SDK additionally sustains real-time sound transcription utilizing Streaming Speech-to-Text. This function is actually specifically practical for treatments requiring immediate processing of audio information.making use of AssemblyAI.Realtime.await using var scribe = brand new RealtimeTranscriber( new RealtimeTranscriberOptions.ApiKey="YOUR_API_KEY",.SampleRate = 16_000. ).transcriber.PartialTranscriptReceived.Subscribe( transcript =&gtConsole.WriteLine($" Partial: transcript.Text "). ).transcriber.FinalTranscriptReceived.Subscribe( records =&gtConsole.WriteLine($" Final: transcript.Text "). ).await transcriber.ConnectAsync().// Pseudocode for receiving audio from a mic as an example.GetAudio( async (piece) =&gt wait for transcriber.SendAudioAsync( chunk)).await transcriber.CloseAsync().Making Use Of LeMUR for LLM Applications.The SDK integrates with LeMUR to make it possible for developers to construct large language model (LLM) apps on voice data. Listed below is actually an example:.var lemurTaskParams = new LemurTaskParams.Trigger="Give a brief rundown of the transcript.",.TranscriptIds = [transcript.Id],.FinalModel = LemurModel.AnthropicClaude3 _ 5_Sonnet..var feedback = await client.Lemur.TaskAsync( lemurTaskParams).Console.WriteLine( response.Response).Sound Knowledge Versions.Additionally, the SDK comes with integrated help for audio cleverness designs, allowing belief analysis as well as various other advanced attributes.var transcript = await client.Transcripts.TranscribeAsync( brand-new TranscriptParams.AudioUrl="https://storage.googleapis.com/aai-docs-samples/nbc.mp3",.SentimentAnalysis = accurate. ).foreach (var result in transcript.SentimentAnalysisResults!).Console.WriteLine( result.Text).Console.WriteLine( result.Sentiment)// GOOD, NEUTRAL, or even downside.Console.WriteLine( result.Confidence).Console.WriteLine($" Timestamp: result.Start - result.End ").To find out more, see the formal AssemblyAI blog.Image resource: Shutterstock.

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