AssemblyAI Introduces C#. INTERNET SDK for Advanced Sound Transcription as well as Analysis #.\n\nLuisa Crawford.\nSep 03, 2024 05:37.\n\nAssemblyAI discharges a C#. NET SDK, making it possible for programmers to translate as well as study audio, as well as administer LLMs using LeMUR.\n\n\n\n\nAssemblyAI has declared the launch of its own brand new C#. WEB SDK, developed to promote audio transcription and also evaluation for programmers utilizing.NET languages such as C#, VB.NET, and also F#. The SDK strives to simplify using AssemblyAI's enhanced Speech AI styles, according to AssemblyAI.\nKey Attributes and also Goals.\nThe SDK has been actually built along with numerous essential purposes in thoughts:.\n\nOffer an instinctive interface for all AssemblyAI models and components making use of idiomatic C

.Make sure compatibility with multiple platforms, including.NET 6.0,. NET Structure 4.6.2, and.NET Standard 2.0 as well as above.Minimize addictions to stop model problems and the need for tiing redirects.Recording Audio Data.One of the key functionalities of the SDK is audio transcription. Designers can record audio reports asynchronously or in real-time. Below is an example of just how to transcribe an audio data:.using AssemblyAI.utilizing AssemblyAI.Transcripts.var client = brand-new AssemblyAIClient(" YOUR_API_KEY").var transcript = wait for client.Transcripts.TranscribeAsync( new TranscriptParams.AudioUrl="https://storage.googleapis.com/aai-docs-samples/nbc.mp3". ).transcript.EnsureStatusCompleted().Console.WriteLine( transcript.Text).For local files, similar code may be utilized to accomplish transcription.await using var stream = new FileStream("./ nbc.mp3", FileMode.Open).var transcript = wait for client.Transcripts.TranscribeAsync(.flow,.brand new TranscriptOptionalParams.LanguageCode = TranscriptLanguageCode.EnUs.).transcript.EnsureStatusCompleted().Console.WriteLine( transcript.Text).Real-Time Sound Transcription.The SDK also supports real-time sound transcription utilizing Streaming Speech-to-Text. This component is actually specifically valuable for requests requiring immediate processing of audio information.making use of AssemblyAI.Realtime.await using var transcriber = brand-new RealtimeTranscriber( 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 "). ).wait for transcriber.ConnectAsync().// Pseudocode for obtaining audio from a mic for example.GetAudio( async (piece) =&gt await transcriber.SendAudioAsync( part)).wait for transcriber.CloseAsync().Utilizing LeMUR for LLM Apps.The SDK incorporates with LeMUR to allow developers to create big language style (LLM) applications on voice records. Listed below is an instance:.var lemurTaskParams = brand-new LemurTaskParams.Prompt="Give a short rundown of the records.",.TranscriptIds = [transcript.Id],.FinalModel = LemurModel.AnthropicClaude3 _ 5_Sonnet..var feedback = wait for client.Lemur.TaskAsync( lemurTaskParams).Console.WriteLine( response.Response).Sound Intelligence Models.Additionally, the SDK comes with integrated assistance for audio intelligence versions, allowing feeling evaluation and also various other sophisticated functions.var transcript = wait for client.Transcripts.TranscribeAsync( 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)// GOOD, NEUTRAL, or NEGATIVE.Console.WriteLine( result.Confidence).Console.WriteLine($" Timestamp: result.Start - result.End ").For more details, explore the official AssemblyAI blog.Image source: Shutterstock.