AssemblyAI Reveals C#. NET SDK for Advanced Sound Transcription as well as Analysis #.\n\nLuisa Crawford.\nSep 03, 2024 05:37.\n\nAssemblyAI launches a C#. INTERNET SDK, allowing developers to translate and analyze audio, as well as administer LLMs utilizing LeMUR.\n\n\n\n\nAssemblyAI has actually declared the launch of its own brand-new C#. INTERNET SDK, developed to assist in audio transcription as well as evaluation for programmers utilizing.NET foreign languages including C#, VB.NET, and F#. The SDK strives to enhance making use of AssemblyAI's state-of-the-art Speech AI versions, depending on to AssemblyAI.\nKey Functions and Objectives.\nThe SDK has been developed with many vital goals in thoughts:.\n\nOffer an instinctive user interface for all AssemblyAI styles and also components making use of colloquial C

.Make certain being compatible with a number of platforms, including.NET 6.0,. NET Platform 4.6.2, and.NET Specification 2.0 as well as above.Decrease dependencies to avoid model problems as well as the need for binding redirects.Transcribing Sound Record.One of the primary performances of the SDK is actually audio transcription. Creators can easily transcribe audio files asynchronously or even in real-time. Below is an instance of exactly how to transcribe an audio report:.utilizing AssemblyAI.using AssemblyAI.Transcripts.var client = 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 neighborhood reports, comparable code may be utilized to achieve transcription.wait for using var stream = brand-new FileStream("./ nbc.mp3", FileMode.Open).var records = wait for client.Transcripts.TranscribeAsync(.stream,.brand-new TranscriptOptionalParams.LanguageCode = TranscriptLanguageCode.EnUs.).transcript.EnsureStatusCompleted().Console.WriteLine( transcript.Text).Real-Time Audio Transcription.The SDK additionally supports real-time sound transcription utilizing Streaming Speech-to-Text. This feature is actually specifically helpful for applications calling for immediate processing of audio records.using AssemblyAI.Realtime.await making use of var transcriber = new RealtimeTranscriber( brand-new RealtimeTranscriberOptions.ApiKey="YOUR_API_KEY",.SampleRate = 16_000. ).transcriber.PartialTranscriptReceived.Subscribe( records =&gtConsole.WriteLine($" Limited: transcript.Text "). ).transcriber.FinalTranscriptReceived.Subscribe( records =&gtConsole.WriteLine($" Ultimate: transcript.Text "). ).wait for transcriber.ConnectAsync().// Pseudocode for receiving sound from a microphone for instance.GetAudio( async (portion) =&gt await transcriber.SendAudioAsync( chunk)).await transcriber.CloseAsync().Making Use Of LeMUR for LLM Apps.The SDK incorporates with LeMUR to permit developers to develop huge foreign language design (LLM) functions on vocal data. Below is an instance:.var lemurTaskParams = brand new LemurTaskParams.Cue="Offer a quick summary of the records.",.TranscriptIds = [transcript.Id],.FinalModel = LemurModel.AnthropicClaude3 _ 5_Sonnet..var reaction = wait for client.Lemur.TaskAsync( lemurTaskParams).Console.WriteLine( response.Response).Sound Cleverness Designs.In addition, the SDK comes with built-in assistance for audio knowledge styles, making it possible for conviction evaluation as well as various other sophisticated functions.var records = wait for 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 downside.Console.WriteLine( result.Confidence).Console.WriteLine($" Timestamp: result.Start - result.End ").To find out more, check out the formal AssemblyAI blog.Image source: Shutterstock.