AssemblyAI Unveils C#. NET SDK for Advanced Audio Transcription and Review #.\n\nLuisa Crawford.\nSep 03, 2024 05:37.\n\nAssemblyAI discharges a C#. INTERNET SDK, enabling creators to transcribe and examine sound, as well as use LLMs utilizing LeMUR.\n\n\n\n\nAssemblyAI has actually declared the launch of its new C#. INTERNET SDK, developed to help with audio transcription and also analysis for programmers utilizing.NET languages such as C#, VB.NET, as well as F#. The SDK targets to simplify the use of AssemblyAI's state-of-the-art Pep talk AI models, depending on to AssemblyAI.\nSecret Features and also Goals.\nThe SDK has actually been established with many crucial purposes in thoughts:.\n\nOffer an instinctive interface for all AssemblyAI styles and also components utilizing idiomatic C

.Guarantee compatibility with a number of frameworks, including.NET 6.0,. Internet Framework 4.6.2, and.NET Standard 2.0 and also above.Minimize addictions to avoid version disputes and the requirement for tiing redirects.Translating Audio Information.One of the key capabilities of the SDK is audio transcription. Designers can easily record audio data asynchronously or in real-time. Below is actually an example of exactly how to translate an audio documents:.using AssemblyAI.using AssemblyAI.Transcripts.var client = brand new AssemblyAIClient(" YOUR_API_KEY").var records = wait for client.Transcripts.TranscribeAsync( brand new TranscriptParams.AudioUrl="https://storage.googleapis.com/aai-docs-samples/nbc.mp3". ).transcript.EnsureStatusCompleted().Console.WriteLine( transcript.Text).For regional documents, comparable code can be used to attain transcription.wait for utilizing var flow = brand new FileStream("./ nbc.mp3", FileMode.Open).var transcript = await client.Transcripts.TranscribeAsync(.stream,.brand-new TranscriptOptionalParams.LanguageCode = TranscriptLanguageCode.EnUs.).transcript.EnsureStatusCompleted().Console.WriteLine( transcript.Text).Real-Time Sound Transcription.The SDK also reinforces real-time sound transcription utilizing Streaming Speech-to-Text. This function is actually especially useful for requests requiring urgent processing of audio records.utilizing AssemblyAI.Realtime.wait for using var scribe = brand new RealtimeTranscriber( new RealtimeTranscriberOptions.ApiKey="YOUR_API_KEY",.SampleRate = 16_000. ).transcriber.PartialTranscriptReceived.Subscribe( transcript =&gtConsole.WriteLine($" Partial: transcript.Text "). ).transcriber.FinalTranscriptReceived.Subscribe( records =&gtConsole.WriteLine($" Last: transcript.Text "). ).wait for transcriber.ConnectAsync().// Pseudocode for receiving sound from a microphone for instance.GetAudio( async (portion) =&gt await transcriber.SendAudioAsync( portion)).await transcriber.CloseAsync().Making Use Of LeMUR for LLM Functions.The SDK includes with LeMUR to permit developers to develop sizable foreign language style (LLM) apps on voice data. Listed below is an instance:.var lemurTaskParams = brand new LemurTaskParams.Trigger="Offer a short recap of the records.",.TranscriptIds = [transcript.Id],.FinalModel = LemurModel.AnthropicClaude3 _ 5_Sonnet..var feedback = await client.Lemur.TaskAsync( lemurTaskParams).Console.WriteLine( response.Response).Sound Knowledge Styles.Also, the SDK features integrated assistance for audio intelligence versions, permitting belief review and also various other state-of-the-art components.var transcript = 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)// FAVORABLE, NEUTRAL, or even downside.Console.WriteLine( result.Confidence).Console.WriteLine($" Timestamp: result.Start - result.End ").To find out more, visit the main AssemblyAI blog.Image resource: Shutterstock.