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AssemblyAI Introduces C#. NET SDK for Advanced Audio Transcription as well as Study #.\n\nLuisa Crawford.\nSep 03, 2024 05:37.\n\nAssemblyAI releases a C#. INTERNET SDK, allowing designers to translate and also examine audio, and use LLMs using LeMUR.\n\n\n\n\nAssemblyAI has actually announced the release of its own new C#. NET SDK, designed to facilitate audio transcription and evaluation for designers utilizing.NET languages like C#, VB.NET, as well as F#. The SDK strives to streamline using AssemblyAI's sophisticated Pep talk AI models, depending on to AssemblyAI.\nKey Attributes and Goals.\nThe SDK has been actually established with a number of crucial purposes in mind:.\n\nSupply an intuitive user interface for all AssemblyAI models as well as functions using colloquial C

.Ensure compatibility along with numerous frameworks, including.NET 6.0,. Internet Structure 4.6.2, and.NET Specification 2.0 as well as above.Decrease addictions to stop version disagreements and the need for tiing redirects.Recording Sound Information.Among the main performances of the SDK is actually audio transcription. Designers can easily record audio files asynchronously or in real-time. Below is actually an instance of exactly how to record an audio data:.utilizing AssemblyAI.making use of AssemblyAI.Transcripts.var client = brand-new AssemblyAIClient(" YOUR_API_KEY").var records = await client.Transcripts.TranscribeAsync( new TranscriptParams.AudioUrl="https://storage.googleapis.com/aai-docs-samples/nbc.mp3". ).transcript.EnsureStatusCompleted().Console.WriteLine( transcript.Text).For nearby data, identical code could be used to accomplish transcription.wait for utilizing var flow = brand new FileStream("./ nbc.mp3", FileMode.Open).var transcript = wait for client.Transcripts.TranscribeAsync(.flow,.brand-new TranscriptOptionalParams.LanguageCode = TranscriptLanguageCode.EnUs.).transcript.EnsureStatusCompleted().Console.WriteLine( transcript.Text).Real-Time Sound Transcription.The SDK additionally reinforces real-time sound transcription using Streaming Speech-to-Text. This feature is specifically useful for treatments needing immediate processing of audio information.using AssemblyAI.Realtime.wait for using var transcriber = new RealtimeTranscriber( new RealtimeTranscriberOptions.ApiKey="YOUR_API_KEY",.SampleRate = 16_000. ).transcriber.PartialTranscriptReceived.Subscribe( records =&gtConsole.WriteLine($" Partial: transcript.Text "). ).transcriber.FinalTranscriptReceived.Subscribe( records =&gtConsole.WriteLine($" Ultimate: transcript.Text "). ).await transcriber.ConnectAsync().// Pseudocode for obtaining sound from a microphone as an example.GetAudio( async (chunk) =&gt wait for transcriber.SendAudioAsync( piece)).await transcriber.CloseAsync().Utilizing LeMUR for LLM Functions.The SDK includes along with LeMUR to allow designers to develop huge foreign language design (LLM) functions on voice records. Listed below is an example:.var lemurTaskParams = brand new LemurTaskParams.Trigger="Supply a brief review of the records.",.TranscriptIds = [transcript.Id],.FinalModel = LemurModel.AnthropicClaude3 _ 5_Sonnet..var feedback = await client.Lemur.TaskAsync( lemurTaskParams).Console.WriteLine( response.Response).Sound Knowledge Models.Furthermore, the SDK features integrated help for audio cleverness versions, enabling conviction analysis and also other innovative functions.var records = await client.Transcripts.TranscribeAsync( brand 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)// BENEFICIAL, NEUTRAL, or downside.Console.WriteLine( result.Confidence).Console.WriteLine($" Timestamp: result.Start - result.End ").For additional information, see the formal AssemblyAI blog.Image resource: Shutterstock.

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