AssemblyAI Reveals C#. INTERNET SDK for Advanced Sound Transcription as well as Evaluation #.\n\nLuisa Crawford.\nSep 03, 2024 05:37.\n\nAssemblyAI discharges a C#. NET SDK, enabling developers to transcribe as well as assess sound, and also use LLMs using LeMUR.\n\n\n\n\nAssemblyAI has introduced the release of its own new C#. WEB SDK, made to facilitate audio transcription and analysis for programmers utilizing.NET languages including C#, VB.NET, and F#. The SDK aims to simplify the use of AssemblyAI's innovative Speech AI versions, according to AssemblyAI.\nTrick Attributes as well as Targets.\nThe SDK has actually been created along with numerous essential purposes in mind:.\n\nSupply an user-friendly user interface for all AssemblyAI models and components utilizing idiomatic C

.Guarantee compatibility along with a number of platforms, including.NET 6.0,. NET Structure 4.6.2, and.NET Specification 2.0 as well as above.Reduce dependences to avoid variation disputes and the necessity for binding redirects.Recording Sound Data.One of the primary performances of the SDK is actually audio transcription. Programmers can easily translate audio data asynchronously or in real-time. Below is an instance of exactly how to record an audio file:.utilizing AssemblyAI.utilizing AssemblyAI.Transcripts.var customer = 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 regional reports, comparable code can be utilized to attain transcription.wait for utilizing var flow = new FileStream("./ nbc.mp3", FileMode.Open).var records = wait for client.Transcripts.TranscribeAsync(.flow,.new TranscriptOptionalParams.LanguageCode = TranscriptLanguageCode.EnUs.).transcript.EnsureStatusCompleted().Console.WriteLine( transcript.Text).Real-Time Audio Transcription.The SDK additionally supports real-time sound transcription making use of Streaming Speech-to-Text. This feature is actually especially practical for requests requiring quick handling of audio records.utilizing AssemblyAI.Realtime.await using var scribe = brand-new RealtimeTranscriber( brand-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 "). ).wait for transcriber.ConnectAsync().// Pseudocode for getting sound coming from a microphone for example.GetAudio( async (portion) =&gt await transcriber.SendAudioAsync( piece)).await transcriber.CloseAsync().Utilizing LeMUR for LLM Applications.The SDK includes with LeMUR to enable designers to develop big foreign language model (LLM) apps on vocal information. Here is an example:.var lemurTaskParams = new LemurTaskParams.Prompt="Deliver a short recap of the records.",.TranscriptIds = [transcript.Id],.FinalModel = LemurModel.AnthropicClaude3 _ 5_Sonnet..var reaction = await client.Lemur.TaskAsync( lemurTaskParams).Console.WriteLine( response.Response).Sound Intellect Styles.In addition, the SDK features built-in assistance for audio knowledge styles, permitting feeling review and other innovative attributes.var transcript = wait for client.Transcripts.TranscribeAsync( brand new TranscriptParams.AudioUrl="https://storage.googleapis.com/aai-docs-samples/nbc.mp3",.SentimentAnalysis = accurate. ).foreach (var cause transcript.SentimentAnalysisResults!).Console.WriteLine( result.Text).Console.WriteLine( result.Sentiment)// GOOD, NEUTRAL, or NEGATIVE.Console.WriteLine( result.Confidence).Console.WriteLine($" Timestamp: result.Start - result.End ").For additional information, go to the formal AssemblyAI blog.Image resource: Shutterstock.