AssemblyAI Reveals C#. NET SDK for Advanced Audio Transcription as well as Review #.\n\nLuisa Crawford.\nSep 03, 2024 05:37.\n\nAssemblyAI launches a C#. WEB SDK, enabling designers to transcribe and assess audio, and administer LLMs utilizing LeMUR.\n\n\n\n\nAssemblyAI has actually introduced the launch of its brand new C#. WEB SDK, developed to facilitate audio transcription as well as evaluation for developers utilizing.NET foreign languages like C#, VB.NET, as well as F#. The SDK intends to enhance making use of AssemblyAI's sophisticated Pep talk AI designs, depending on to AssemblyAI.\nKey Features and also Objectives.\nThe SDK has actually been actually cultivated with a number of crucial objectives in thoughts:.\n\nSupply an intuitive interface for all AssemblyAI designs and also functions using idiomatic C

.Make sure compatibility with multiple platforms, including.NET 6.0,. NET Platform 4.6.2, and.NET Requirement 2.0 and above.Reduce addictions to prevent version disputes as well as the need for tiing redirects.Recording Sound Files.Among the major functionalities of the SDK is audio transcription. Creators may translate audio reports asynchronously or even in real-time. Below is an instance of exactly how to transcribe an audio documents:.making use of AssemblyAI.using AssemblyAI.Transcripts.var customer = brand-new AssemblyAIClient(" YOUR_API_KEY").var transcript = 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 documents, comparable code may be used to obtain transcription.await using var stream = new FileStream("./ nbc.mp3", FileMode.Open).var transcript = wait for client.Transcripts.TranscribeAsync(.flow,.brand-new TranscriptOptionalParams.LanguageCode = TranscriptLanguageCode.EnUs.).transcript.EnsureStatusCompleted().Console.WriteLine( transcript.Text).Real-Time Sound Transcription.The SDK also holds real-time audio transcription utilizing Streaming Speech-to-Text. This feature is actually especially practical for uses needing immediate handling of audio data.utilizing AssemblyAI.Realtime.wait for utilizing var transcriber = new RealtimeTranscriber( brand new RealtimeTranscriberOptions.ApiKey="YOUR_API_KEY",.SampleRate = 16_000. ).transcriber.PartialTranscriptReceived.Subscribe( transcript =&gtConsole.WriteLine($" Limited: transcript.Text "). ).transcriber.FinalTranscriptReceived.Subscribe( records =&gtConsole.WriteLine($" Final: transcript.Text "). ).await transcriber.ConnectAsync().// Pseudocode for obtaining audio from a mic for example.GetAudio( async (part) =&gt await transcriber.SendAudioAsync( chunk)).await transcriber.CloseAsync().Taking Advantage Of LeMUR for LLM Functions.The SDK incorporates along with LeMUR to make it possible for designers to create huge foreign language model (LLM) apps on vocal data. Below is an example:.var lemurTaskParams = brand-new LemurTaskParams.Cause="Supply a quick summary of the transcript.",.TranscriptIds = [transcript.Id],.FinalModel = LemurModel.AnthropicClaude3 _ 5_Sonnet..var feedback = await client.Lemur.TaskAsync( lemurTaskParams).Console.WriteLine( response.Response).Audio Intellect Versions.Furthermore, the SDK includes integrated help for audio knowledge models, permitting belief evaluation as well as other enhanced attributes.var records = 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)// FAVORABLE, NEUTRAL, or even NEGATIVE.Console.WriteLine( result.Confidence).Console.WriteLine($" Timestamp: result.Start - result.End ").For more details, see the formal AssemblyAI blog.Image resource: Shutterstock.