AssemblyAI Introduces C#. INTERNET SDK for Advanced Sound Transcription and Review #.\n\nLuisa Crawford.\nSep 03, 2024 05:37.\n\nAssemblyAI launches a C#. WEB SDK, enabling creators to record and study sound, and also administer LLMs using LeMUR.\n\n\n\n\nAssemblyAI has announced the release of its brand new C#. WEB SDK, designed to promote audio transcription as well as analysis for programmers utilizing.NET foreign languages like C#, VB.NET, and also F#. The SDK intends to simplify making use of AssemblyAI's state-of-the-art Pep talk AI styles, depending on to AssemblyAI.\nTrick Functions as well as Goals.\nThe SDK has actually been cultivated with several crucial objectives in thoughts:.\n\nOffer an user-friendly user interface for all AssemblyAI models as well as attributes utilizing idiomatic C

.Make sure compatibility with numerous platforms, including.NET 6.0,. Internet Platform 4.6.2, and.NET Criterion 2.0 and also above.Decrease addictions to stop variation disputes and the requirement for tiing redirects.Translating Sound Data.One of the primary functions of the SDK is actually audio transcription. Designers can easily translate audio reports asynchronously or in real-time. Below is an instance of just how to translate an audio documents:.utilizing AssemblyAI.using AssemblyAI.Transcripts.var client = brand new AssemblyAIClient(" YOUR_API_KEY").var records = wait for client.Transcripts.TranscribeAsync( new TranscriptParams.AudioUrl="https://storage.googleapis.com/aai-docs-samples/nbc.mp3". ).transcript.EnsureStatusCompleted().Console.WriteLine( transcript.Text).For regional files, comparable code can be used to attain transcription.await using var stream = new FileStream("./ nbc.mp3", FileMode.Open).var transcript = 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 audio transcription utilizing Streaming Speech-to-Text. This feature is especially practical for uses calling for prompt handling of audio data.utilizing AssemblyAI.Realtime.wait for utilizing var transcriber = brand new RealtimeTranscriber( brand-new RealtimeTranscriberOptions.ApiKey="YOUR_API_KEY",.SampleRate = 16_000. ).transcriber.PartialTranscriptReceived.Subscribe( records =&gtConsole.WriteLine($" Limited: transcript.Text "). ).transcriber.FinalTranscriptReceived.Subscribe( records =&gtConsole.WriteLine($" Last: transcript.Text "). ).wait for transcriber.ConnectAsync().// Pseudocode for obtaining audio coming from a microphone as an example.GetAudio( async (part) =&gt wait for transcriber.SendAudioAsync( portion)).await transcriber.CloseAsync().Using LeMUR for LLM Applications.The SDK incorporates along with LeMUR to enable developers to build big foreign language design (LLM) functions on vocal data. Below is an instance:.var lemurTaskParams = brand-new LemurTaskParams.Motivate="Deliver a quick summary of the records.",.TranscriptIds = [transcript.Id],.FinalModel = LemurModel.AnthropicClaude3 _ 5_Sonnet..var feedback = wait for client.Lemur.TaskAsync( lemurTaskParams).Console.WriteLine( response.Response).Audio Intellect Designs.In addition, the SDK possesses built-in assistance for audio intelligence versions, enabling conviction study and various other state-of-the-art functions.var records = await client.Transcripts.TranscribeAsync( brand new TranscriptParams.AudioUrl="https://storage.googleapis.com/aai-docs-samples/nbc.mp3",.SentimentAnalysis = true. ).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, go to the main AssemblyAI blog.Image resource: Shutterstock.