AssemblyAI Reveals C#. NET SDK for Advanced Audio Transcription as well as Analysis #.\n\nLuisa Crawford.\nSep 03, 2024 05:37.\n\nAssemblyAI discharges a C#. WEB SDK, enabling programmers to record and analyze audio, and administer LLMs using LeMUR.\n\n\n\n\nAssemblyAI has actually introduced the release of its new C#. NET SDK, designed to facilitate audio transcription and also analysis for designers utilizing.NET foreign languages like C#, VB.NET, and F#. The SDK targets to simplify using AssemblyAI's sophisticated Pep talk AI versions, according to AssemblyAI.\nKey Attributes as well as Goals.\nThe SDK has actually been actually developed with several vital objectives in thoughts:.\n\nSupply an user-friendly interface for all AssemblyAI styles as well as functions using colloquial C

.Make certain compatibility along with multiple frameworks, including.NET 6.0,. Internet Framework 4.6.2, and.NET Requirement 2.0 and above.Reduce dependences to avoid model disagreements as well as the necessity for tiing redirects.Translating Audio Info.Some of the main capabilities of the SDK is audio transcription. Programmers can easily record audio documents asynchronously or in real-time. Below is actually an instance of exactly how to transcribe an audio documents:.using AssemblyAI.making use of 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 local area data, identical code could be utilized to accomplish transcription.wait for using var flow = new FileStream("./ nbc.mp3", FileMode.Open).var records = wait for client.Transcripts.TranscribeAsync(.flow,.new TranscriptOptionalParams.LanguageCode = TranscriptLanguageCode.EnUs.).transcript.EnsureStatusCompleted().Console.WriteLine( transcript.Text).Real-Time Audio Transcription.The SDK also supports real-time sound transcription using Streaming Speech-to-Text. This attribute is especially practical for treatments requiring prompt processing of audio data.using AssemblyAI.Realtime.wait for making use of var scribe = brand new RealtimeTranscriber( 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 audio from a mic as an example.GetAudio( async (piece) =&gt wait for transcriber.SendAudioAsync( portion)).await transcriber.CloseAsync().Utilizing LeMUR for LLM Functions.The SDK combines along with LeMUR to make it possible for creators to develop large foreign language model (LLM) functions on voice data. Listed here is actually an instance:.var lemurTaskParams = brand-new LemurTaskParams.Prompt="Offer a brief summary of the transcript.",.TranscriptIds = [transcript.Id],.FinalModel = LemurModel.AnthropicClaude3 _ 5_Sonnet..var reaction = wait for client.Lemur.TaskAsync( lemurTaskParams).Console.WriteLine( response.Response).Audio Intellect Designs.In addition, the SDK possesses integrated assistance for audio intelligence designs, making it possible for feeling study and also other state-of-the-art components.var transcript = wait for client.Transcripts.TranscribeAsync( 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 NEGATIVE.Console.WriteLine( result.Confidence).Console.WriteLine($" Timestamp: result.Start - result.End ").For additional information, explore the official AssemblyAI blog.Image source: Shutterstock.