AssemblyAI Unveils C#. NET SDK for Advanced Sound Transcription as well as Review #.\n\nLuisa Crawford.\nSep 03, 2024 05:37.\n\nAssemblyAI discharges a C#. WEB SDK, enabling programmers to transcribe and also study sound, as well as apply LLMs utilizing LeMUR.\n\n\n\n\nAssemblyAI has actually revealed the release of its own new C#. WEB SDK, designed to help with audio transcription as well as analysis for creators utilizing.NET languages including C#, VB.NET, as well as F#. The SDK targets to streamline making use of AssemblyAI's state-of-the-art Pep talk AI styles, depending on to AssemblyAI.\nSecret Attributes and also Targets.\nThe SDK has been created with several essential purposes in mind:.\n\nOffer an instinctive interface for all AssemblyAI designs and also attributes making use of colloquial C

.Make certain being compatible along with various frameworks, including.NET 6.0,. Web Platform 4.6.2, and.NET Specification 2.0 as well as above.Decrease dependences to prevent version problems and also the requirement for binding redirects.Translating Sound Record.Among the key functions of the SDK is actually audio transcription. Programmers may transcribe audio data asynchronously or even in real-time. Below is actually an instance of how to translate an audio documents:.utilizing AssemblyAI.utilizing AssemblyAI.Transcripts.var client = brand new AssemblyAIClient(" YOUR_API_KEY").var transcript = await client.Transcripts.TranscribeAsync( new TranscriptParams.AudioUrl="https://storage.googleapis.com/aai-docs-samples/nbc.mp3". ).transcript.EnsureStatusCompleted().Console.WriteLine( transcript.Text).For nearby files, comparable code can be made use of to accomplish transcription.wait for utilizing var flow = brand new FileStream("./ nbc.mp3", FileMode.Open).var transcript = wait for client.Transcripts.TranscribeAsync(.flow,.new TranscriptOptionalParams.LanguageCode = TranscriptLanguageCode.EnUs.).transcript.EnsureStatusCompleted().Console.WriteLine( transcript.Text).Real-Time Audio Transcription.The SDK additionally supports real-time audio transcription using Streaming Speech-to-Text. This feature is actually specifically helpful for requests requiring quick processing of audio information.making use of 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($" Partial: transcript.Text "). ).transcriber.FinalTranscriptReceived.Subscribe( records =&gtConsole.WriteLine($" Final: transcript.Text "). ).await transcriber.ConnectAsync().// Pseudocode for acquiring audio coming from a microphone for example.GetAudio( async (piece) =&gt await transcriber.SendAudioAsync( portion)).await transcriber.CloseAsync().Using LeMUR for LLM Apps.The SDK includes along with LeMUR to make it possible for developers to construct big language design (LLM) apps on vocal data. Listed here is an instance:.var lemurTaskParams = new LemurTaskParams.Cue="Provide a short summary of the transcript.",.TranscriptIds = [transcript.Id],.FinalModel = LemurModel.AnthropicClaude3 _ 5_Sonnet..var action = await client.Lemur.TaskAsync( lemurTaskParams).Console.WriteLine( response.Response).Audio Intellect Styles.Furthermore, the SDK includes built-in assistance for audio intelligence styles, permitting feeling evaluation and also other innovative 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 cause transcript.SentimentAnalysisResults!).Console.WriteLine( result.Text).Console.WriteLine( result.Sentiment)// POSITIVE, NEUTRAL, or NEGATIVE.Console.WriteLine( result.Confidence).Console.WriteLine($" Timestamp: result.Start - result.End ").For additional information, check out the main AssemblyAI blog.Image resource: Shutterstock.