AssemblyAI Introduces C#. NET SDK for Advanced Sound Transcription and Review #.\n\nLuisa Crawford.\nSep 03, 2024 05:37.\n\nAssemblyAI discharges a C#. NET SDK, making it possible for developers to translate as well as study sound, and use LLMs making use of LeMUR.\n\n\n\n\nAssemblyAI has actually announced the launch of its own new C#. INTERNET SDK, developed to facilitate audio transcription and evaluation for programmers utilizing.NET foreign languages like C#, VB.NET, as well as F#. The SDK targets to improve making use of AssemblyAI's advanced Pep talk AI models, depending on to AssemblyAI.\nTrick Functions as well as Goals.\nThe SDK has been actually created along with several key objectives in mind:.\n\nDeliver an instinctive user interface for all AssemblyAI models and also functions using colloquial C

.Ensure being compatible along with multiple frameworks, including.NET 6.0,. Internet Structure 4.6.2, and.NET Criterion 2.0 and also above.Minimize reliances to avoid version disagreements as well as the requirement for binding redirects.Transcribing Sound Data.Among the primary functions of the SDK is actually audio transcription. Developers can record audio data asynchronously or even in real-time. Below is actually an example of exactly how to transcribe an audio file:.using AssemblyAI.making use of AssemblyAI.Transcripts.var client = new AssemblyAIClient(" YOUR_API_KEY").var records = await client.Transcripts.TranscribeAsync( brand new TranscriptParams.AudioUrl="https://storage.googleapis.com/aai-docs-samples/nbc.mp3". ).transcript.EnsureStatusCompleted().Console.WriteLine( transcript.Text).For nearby reports, similar code could be made use of to obtain transcription.await using var flow = brand-new FileStream("./ nbc.mp3", FileMode.Open).var records = await client.Transcripts.TranscribeAsync(.flow,.brand new TranscriptOptionalParams.LanguageCode = TranscriptLanguageCode.EnUs.).transcript.EnsureStatusCompleted().Console.WriteLine( transcript.Text).Real-Time Sound Transcription.The SDK likewise sustains real-time sound transcription making use of Streaming Speech-to-Text. This function is actually particularly valuable for applications calling for instant processing of audio records.utilizing AssemblyAI.Realtime.wait for making use of var transcriber = brand-new RealtimeTranscriber( new RealtimeTranscriberOptions.ApiKey="YOUR_API_KEY",.SampleRate = 16_000. ).transcriber.PartialTranscriptReceived.Subscribe( records =&gtConsole.WriteLine($" Partial: transcript.Text "). ).transcriber.FinalTranscriptReceived.Subscribe( transcript =&gtConsole.WriteLine($" Ultimate: transcript.Text "). ).wait for transcriber.ConnectAsync().// Pseudocode for acquiring sound from a mic for instance.GetAudio( async (part) =&gt await transcriber.SendAudioAsync( piece)).wait for transcriber.CloseAsync().Using LeMUR for LLM Functions.The SDK includes along with LeMUR to allow designers to create sizable language design (LLM) functions on vocal information. Below is actually an instance:.var lemurTaskParams = new LemurTaskParams.Cue="Give a quick recap of the transcript.",.TranscriptIds = [transcript.Id],.FinalModel = LemurModel.AnthropicClaude3 _ 5_Sonnet..var action = wait for client.Lemur.TaskAsync( lemurTaskParams).Console.WriteLine( response.Response).Audio Knowledge Styles.Furthermore, the SDK includes integrated support for audio intelligence models, making it possible for sentiment evaluation as well as various other sophisticated functions.var transcript = 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)// BENEFICIAL, NEUTRAL, or even downside.Console.WriteLine( result.Confidence).Console.WriteLine($" Timestamp: result.Start - result.End ").For additional information, explore the main AssemblyAI blog.Image source: Shutterstock.