AssemblyAI Reveals C#. INTERNET SDK for Advanced Sound Transcription as well as Review #.\n\nLuisa Crawford.\nSep 03, 2024 05:37.\n\nAssemblyAI launches a C#. NET SDK, enabling creators to record and also study audio, as well as apply LLMs utilizing LeMUR.\n\n\n\n\nAssemblyAI has announced the launch of its own brand-new C#. NET SDK, created to assist in audio transcription and analysis for designers utilizing.NET foreign languages like C#, VB.NET, and also F#. The SDK targets to improve the use of AssemblyAI's advanced Pep talk AI versions, depending on to AssemblyAI.\nTrick Components as well as Goals.\nThe SDK has actually been established with numerous vital purposes in mind:.\n\nSupply an instinctive user interface for all AssemblyAI models as well as functions using idiomatic C

.Make certain compatibility with multiple frameworks, including.NET 6.0,. NET Platform 4.6.2, and.NET Requirement 2.0 and above.Reduce addictions to prevent variation disputes and also the necessity for tiing redirects.Recording Audio Data.One of the primary performances of the SDK is audio transcription. Developers can translate audio documents asynchronously or in real-time. Below is actually an example of exactly how to record an audio report:.utilizing AssemblyAI.utilizing AssemblyAI.Transcripts.var client = new AssemblyAIClient(" YOUR_API_KEY").var records = 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 reports, comparable code can be utilized to obtain transcription.wait for utilizing var flow = brand new FileStream("./ nbc.mp3", FileMode.Open).var records = await client.Transcripts.TranscribeAsync(.stream,.brand-new TranscriptOptionalParams.LanguageCode = TranscriptLanguageCode.EnUs.).transcript.EnsureStatusCompleted().Console.WriteLine( transcript.Text).Real-Time Sound Transcription.The SDK likewise holds real-time audio transcription making use of Streaming Speech-to-Text. This feature is actually specifically helpful for uses requiring quick handling of audio data.utilizing AssemblyAI.Realtime.wait for making use of var scribe = new RealtimeTranscriber( new RealtimeTranscriberOptions.ApiKey="YOUR_API_KEY",.SampleRate = 16_000. ).transcriber.PartialTranscriptReceived.Subscribe( transcript =&gtConsole.WriteLine($" Limited: transcript.Text "). ).transcriber.FinalTranscriptReceived.Subscribe( records =&gtConsole.WriteLine($" Last: transcript.Text "). ).wait for transcriber.ConnectAsync().// Pseudocode for getting audio coming from a mic as an example.GetAudio( async (part) =&gt await transcriber.SendAudioAsync( piece)).await transcriber.CloseAsync().Utilizing LeMUR for LLM Apps.The SDK integrates with LeMUR to permit developers to construct large foreign language version (LLM) functions on voice data. Listed here is an instance:.var lemurTaskParams = brand new LemurTaskParams.Trigger="Provide a quick review of the transcript.",.TranscriptIds = [transcript.Id],.FinalModel = LemurModel.AnthropicClaude3 _ 5_Sonnet..var feedback = await client.Lemur.TaskAsync( lemurTaskParams).Console.WriteLine( response.Response).Sound Cleverness Versions.Furthermore, the SDK comes with built-in help for audio knowledge styles, permitting view study and also other advanced features.var records = await client.Transcripts.TranscribeAsync( brand-new TranscriptParams.AudioUrl="https://storage.googleapis.com/aai-docs-samples/nbc.mp3",.SentimentAnalysis = accurate. ).foreach (var result in 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 additional information, go to the official AssemblyAI blog.Image source: Shutterstock.