AssemblyAI Unveils C#. NET SDK for Advanced Audio Transcription as well as Analysis #.\n\nLuisa Crawford.\nSep 03, 2024 05:37.\n\nAssemblyAI releases a C#. WEB SDK, allowing designers to record and also analyze audio, and also apply LLMs utilizing LeMUR.\n\n\n\n\nAssemblyAI has actually announced the release of its own brand-new C#. WEB SDK, designed to promote audio transcription as well as evaluation for programmers utilizing.NET foreign languages like C#, VB.NET, as well as F#. The SDK targets to enhance using AssemblyAI's sophisticated Pep talk AI models, depending on to AssemblyAI.\nSecret Functions and Goals.\nThe SDK has actually been actually created along with several vital goals in mind:.\n\nDeliver an intuitive interface for all AssemblyAI versions and functions making use of colloquial C

.Make certain being compatible along with several structures, including.NET 6.0,. Internet Structure 4.6.2, and.NET Requirement 2.0 and also above.Lessen dependences to stop model disputes and also the demand for binding redirects.Transcribing Audio Information.Among the major functionalities of the SDK is actually audio transcription. Creators can easily record audio files asynchronously or in real-time. Below is actually an instance of just how to record an audio data:.utilizing AssemblyAI.utilizing AssemblyAI.Transcripts.var client = 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 data, similar code can be used to achieve transcription.wait for utilizing 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 Sound Transcription.The SDK also holds real-time sound transcription using Streaming Speech-to-Text. This component is actually especially beneficial for applications requiring quick processing of audio data.using AssemblyAI.Realtime.wait for making use of var scribe = new RealtimeTranscriber( brand new RealtimeTranscriberOptions.ApiKey="YOUR_API_KEY",.SampleRate = 16_000. ).transcriber.PartialTranscriptReceived.Subscribe( transcript =&gtConsole.WriteLine($" Partial: transcript.Text "). ).transcriber.FinalTranscriptReceived.Subscribe( transcript =&gtConsole.WriteLine($" Final: transcript.Text "). ).await transcriber.ConnectAsync().// Pseudocode for receiving sound coming from a mic for instance.GetAudio( async (part) =&gt await transcriber.SendAudioAsync( chunk)).await transcriber.CloseAsync().Taking Advantage Of LeMUR for LLM Apps.The SDK combines along with LeMUR to permit designers to create huge language design (LLM) applications on vocal records. Listed here is actually an instance:.var lemurTaskParams = brand-new LemurTaskParams.Cue="Offer a quick recap of the records.",.TranscriptIds = [transcript.Id],.FinalModel = LemurModel.AnthropicClaude3 _ 5_Sonnet..var feedback = await client.Lemur.TaskAsync( lemurTaskParams).Console.WriteLine( response.Response).Sound Intelligence Versions.Furthermore, the SDK possesses integrated support for audio intellect styles, permitting feeling analysis and various other innovative attributes.var transcript = await 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)// FAVORABLE, NEUTRAL, or even downside.Console.WriteLine( result.Confidence).Console.WriteLine($" Timestamp: result.Start - result.End ").For additional information, see the main AssemblyAI blog.Image source: Shutterstock.