AssemblyAI Reveals C#. WEB SDK for Advanced Sound Transcription and also Evaluation #.\n\nLuisa Crawford.\nSep 03, 2024 05:37.\n\nAssemblyAI discharges a C#. WEB SDK, allowing programmers to transcribe as well as analyze audio, as well as apply LLMs making use of LeMUR.\n\n\n\n\nAssemblyAI has introduced the launch of its own brand-new C#. NET SDK, created to promote audio transcription as well as analysis for designers utilizing.NET languages including C#, VB.NET, and also F#. The SDK strives to improve making use of AssemblyAI's enhanced Pep talk AI designs, according to AssemblyAI.\nTrick Components and also Targets.\nThe SDK has been actually built with many key objectives in mind:.\n\nDeliver an user-friendly interface for all AssemblyAI versions as well as features using colloquial C

.Guarantee compatibility along with numerous structures, including.NET 6.0,. NET Structure 4.6.2, and.NET Standard 2.0 and also above.Decrease addictions to prevent variation conflicts and the demand for tiing redirects.Recording Audio Information.Among the primary performances of the SDK is actually audio transcription. Creators can easily record audio files asynchronously or even in real-time. Below is actually an example of exactly how to record an audio data:.utilizing AssemblyAI.utilizing AssemblyAI.Transcripts.var customer = new AssemblyAIClient(" YOUR_API_KEY").var transcript = 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 documents, identical code may be made use of to accomplish transcription.await utilizing var flow = 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 also sustains real-time audio transcription using Streaming Speech-to-Text. This component is actually especially useful for requests demanding instant processing of audio information.using AssemblyAI.Realtime.await 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 getting sound from a mic for instance.GetAudio( async (chunk) =&gt await transcriber.SendAudioAsync( portion)).await transcriber.CloseAsync().Taking Advantage Of LeMUR for LLM Functions.The SDK integrates with LeMUR to permit programmers to build huge foreign language style (LLM) functions on voice data. Here is an instance:.var lemurTaskParams = new LemurTaskParams.Motivate="Give a brief review of the transcript.",.TranscriptIds = [transcript.Id],.FinalModel = LemurModel.AnthropicClaude3 _ 5_Sonnet..var reaction = wait for client.Lemur.TaskAsync( lemurTaskParams).Console.WriteLine( response.Response).Audio Intelligence Designs.Also, the SDK features integrated help for audio intelligence designs, making it possible for belief evaluation as well as various other innovative components.var records = wait for client.Transcripts.TranscribeAsync( brand new TranscriptParams.AudioUrl="https://storage.googleapis.com/aai-docs-samples/nbc.mp3",.SentimentAnalysis = real. ).foreach (var result in transcript.SentimentAnalysisResults!).Console.WriteLine( result.Text).Console.WriteLine( result.Sentiment)// BENEFICIAL, NEUTRAL, or even NEGATIVE.Console.WriteLine( result.Confidence).Console.WriteLine($" Timestamp: result.Start - result.End ").To read more, check out the official AssemblyAI blog.Image source: Shutterstock.