AssemblyAI Introduces C#. WEB SDK for Advanced Sound Transcription and also Study #.\n\nLuisa Crawford.\nSep 03, 2024 05:37.\n\nAssemblyAI discharges a C#. INTERNET SDK, enabling programmers to transcribe and study audio, and apply LLMs using LeMUR.\n\n\n\n\nAssemblyAI has actually announced the release of its own new C#. INTERNET SDK, designed to facilitate audio transcription as well as analysis for creators utilizing.NET foreign languages including C#, VB.NET, and also F#. The SDK aims to improve the use of AssemblyAI's advanced Pep talk AI designs, according to AssemblyAI.\nTrick Components and also Targets.\nThe SDK has been actually established along with numerous essential goals in mind:.\n\nGive an intuitive user interface for all AssemblyAI designs and components using colloquial C

.Ensure compatibility with a number of structures, including.NET 6.0,. Web Structure 4.6.2, and.NET Specification 2.0 and also above.Lessen dependencies to prevent variation problems and also the necessity for binding redirects.Translating Sound Info.Among the primary capabilities of the SDK is actually audio transcription. Developers can transcribe audio data asynchronously or even in real-time. Below is actually an instance of just how to transcribe an audio documents:.making use of AssemblyAI.utilizing AssemblyAI.Transcripts.var client = brand 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 local area reports, identical code can be used to obtain transcription.await utilizing var stream = new FileStream("./ nbc.mp3", FileMode.Open).var records = wait for client.Transcripts.TranscribeAsync(.flow,.brand new TranscriptOptionalParams.LanguageCode = TranscriptLanguageCode.EnUs.).transcript.EnsureStatusCompleted().Console.WriteLine( transcript.Text).Real-Time Audio Transcription.The SDK also holds real-time sound transcription making use of Streaming Speech-to-Text. This attribute is actually especially useful for uses calling for instant processing of audio data.making use of AssemblyAI.Realtime.await utilizing var transcriber = brand new RealtimeTranscriber( brand new RealtimeTranscriberOptions.ApiKey="YOUR_API_KEY",.SampleRate = 16_000. ).transcriber.PartialTranscriptReceived.Subscribe( transcript =&gtConsole.WriteLine($" Limited: transcript.Text "). ).transcriber.FinalTranscriptReceived.Subscribe( records =&gtConsole.WriteLine($" Ultimate: transcript.Text "). ).await transcriber.ConnectAsync().// Pseudocode for getting sound from a microphone as an example.GetAudio( async (part) =&gt wait for transcriber.SendAudioAsync( piece)).wait for transcriber.CloseAsync().Utilizing LeMUR for LLM Functions.The SDK incorporates along with LeMUR to make it possible for programmers to build big language style (LLM) applications on vocal information. Here is an instance:.var lemurTaskParams = brand new LemurTaskParams.Urge="Give a brief review of the transcript.",.TranscriptIds = [transcript.Id],.FinalModel = LemurModel.AnthropicClaude3 _ 5_Sonnet..var action = await client.Lemur.TaskAsync( lemurTaskParams).Console.WriteLine( response.Response).Audio Knowledge Models.Additionally, the SDK possesses built-in help for audio knowledge designs, allowing sentiment study and various other sophisticated attributes.var records = await 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)// FAVORABLE, NEUTRAL, or NEGATIVE.Console.WriteLine( result.Confidence).Console.WriteLine($" Timestamp: result.Start - result.End ").For more details, visit the formal AssemblyAI blog.Image source: Shutterstock.