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AssemblyAI Reveals C#. NET SDK for Advanced Audio Transcription and Review #.\n\nLuisa Crawford.\nSep 03, 2024 05:37.\n\nAssemblyAI discharges a C#. WEB SDK, enabling programmers to transcribe and examine audio, and administer LLMs utilizing LeMUR.\n\n\n\n\nAssemblyAI has announced the launch of its own brand new C#. NET SDK, created to facilitate audio transcription and analysis for designers utilizing.NET languages such as C#, VB.NET, as well as F#. The SDK strives to enhance the use of AssemblyAI's enhanced Pep talk AI versions, according to AssemblyAI.\nKey Components and Goals.\nThe SDK has actually been established with several crucial purposes in mind:.\n\nOffer an instinctive interface for all AssemblyAI models and functions making use of idiomatic C

.Make certain being compatible with multiple structures, including.NET 6.0,. Web Platform 4.6.2, and.NET Requirement 2.0 and above.Minimize dependencies to stop model problems and also the need for binding redirects.Transcribing Audio Record.One of the main functionalities of the SDK is audio transcription. Designers may record audio documents asynchronously or in real-time. Below is an instance of how to translate an audio file:.using AssemblyAI.using AssemblyAI.Transcripts.var client = brand new AssemblyAIClient(" YOUR_API_KEY").var transcript = wait for client.Transcripts.TranscribeAsync( new TranscriptParams.AudioUrl="https://storage.googleapis.com/aai-docs-samples/nbc.mp3". ).transcript.EnsureStatusCompleted().Console.WriteLine( transcript.Text).For local documents, similar code may be used to accomplish transcription.wait for making use of var flow = brand-new FileStream("./ nbc.mp3", FileMode.Open).var transcript = wait for client.Transcripts.TranscribeAsync(.stream,.new TranscriptOptionalParams.LanguageCode = TranscriptLanguageCode.EnUs.).transcript.EnsureStatusCompleted().Console.WriteLine( transcript.Text).Real-Time Sound Transcription.The SDK likewise sustains real-time audio transcription making use of Streaming Speech-to-Text. This feature is particularly valuable for treatments needing immediate processing of audio information.using AssemblyAI.Realtime.wait for using var transcriber = new RealtimeTranscriber( brand 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 acquiring sound coming from a mic as an example.GetAudio( async (portion) =&gt await transcriber.SendAudioAsync( chunk)).await transcriber.CloseAsync().Utilizing LeMUR for LLM Applications.The SDK incorporates with LeMUR to allow developers to construct big foreign language model (LLM) applications on voice information. Below is an instance:.var lemurTaskParams = brand new LemurTaskParams.Cause="Supply a quick review of the records.",.TranscriptIds = [transcript.Id],.FinalModel = LemurModel.AnthropicClaude3 _ 5_Sonnet..var feedback = wait for client.Lemur.TaskAsync( lemurTaskParams).Console.WriteLine( response.Response).Sound Intelligence Versions.Additionally, the SDK includes integrated assistance for audio intellect styles, enabling conviction study as well as other state-of-the-art functions.var records = wait for client.Transcripts.TranscribeAsync( brand new TranscriptParams.AudioUrl="https://storage.googleapis.com/aai-docs-samples/nbc.mp3",.SentimentAnalysis = real. ).foreach (var lead to transcript.SentimentAnalysisResults!).Console.WriteLine( result.Text).Console.WriteLine( result.Sentiment)// POSITIVE, NEUTRAL, or even downside.Console.WriteLine( result.Confidence).Console.WriteLine($" Timestamp: result.Start - result.End ").For more details, go to the formal AssemblyAI blog.Image resource: Shutterstock.

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