AssemblyAI Reveals C#. WEB SDK for Advanced Sound Transcription and Analysis #.\n\nLuisa Crawford.\nSep 03, 2024 05:37.\n\nAssemblyAI discharges a C#. NET SDK, enabling programmers to transcribe and also analyze sound, as well as administer LLMs making use of LeMUR.\n\n\n\n\nAssemblyAI has actually introduced the release of its own brand new C#. NET SDK, created to assist in audio transcription and evaluation for creators utilizing.NET languages like C#, VB.NET, and also F#. The SDK strives to simplify making use of AssemblyAI's enhanced Pep talk AI models, depending on to AssemblyAI.\nTrick Functions and also Objectives.\nThe SDK has actually been actually built with many key objectives in thoughts:.\n\nDeliver an user-friendly user interface for all AssemblyAI styles as well as components using colloquial C

.Make sure being compatible with a number of structures, including.NET 6.0,. NET Structure 4.6.2, and.NET Standard 2.0 and also above.Decrease reliances to stop version disagreements as well as the necessity for tiing redirects.Transcribing Sound Info.Among the main functionalities of the SDK is audio transcription. Programmers can easily record audio files asynchronously or even in real-time. Below is actually an example of just how to transcribe an audio report:.making use of AssemblyAI.utilizing AssemblyAI.Transcripts.var customer = brand 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 local area documents, comparable code can be made use of to obtain transcription.await utilizing var flow = new FileStream("./ nbc.mp3", FileMode.Open).var records = wait for client.Transcripts.TranscribeAsync(.flow,.brand new TranscriptOptionalParams.LanguageCode = TranscriptLanguageCode.EnUs.).transcript.EnsureStatusCompleted().Console.WriteLine( transcript.Text).Real-Time Sound Transcription.The SDK additionally sustains real-time audio transcription using Streaming Speech-to-Text. This feature is actually especially beneficial for requests requiring prompt handling of audio records.making use of AssemblyAI.Realtime.await using var transcriber = new RealtimeTranscriber( new RealtimeTranscriberOptions.ApiKey="YOUR_API_KEY",.SampleRate = 16_000. ).transcriber.PartialTranscriptReceived.Subscribe( records =&gtConsole.WriteLine($" Partial: transcript.Text "). ).transcriber.FinalTranscriptReceived.Subscribe( transcript =&gtConsole.WriteLine($" Final: transcript.Text "). ).wait for transcriber.ConnectAsync().// Pseudocode for receiving sound from a mic as an example.GetAudio( async (part) =&gt wait for transcriber.SendAudioAsync( part)).wait for transcriber.CloseAsync().Making Use Of LeMUR for LLM Applications.The SDK includes along with LeMUR to make it possible for creators to develop huge foreign language version (LLM) apps on vocal records. Here is an instance:.var lemurTaskParams = brand-new LemurTaskParams.Prompt="Deliver a brief summary of the records.",.TranscriptIds = [transcript.Id],.FinalModel = LemurModel.AnthropicClaude3 _ 5_Sonnet..var action = wait for client.Lemur.TaskAsync( lemurTaskParams).Console.WriteLine( response.Response).Audio Knowledge Versions.Also, the SDK comes with integrated assistance for audio cleverness versions, permitting view review and also other advanced attributes.var records = await 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)// GOOD, NEUTRAL, or even NEGATIVE.Console.WriteLine( result.Confidence).Console.WriteLine($" Timestamp: result.Start - result.End ").To read more, check out the formal AssemblyAI blog.Image resource: Shutterstock.