AssemblyAI Unveils C#. NET SDK for Advanced Audio Transcription and Review #.\n\nLuisa Crawford.\nSep 03, 2024 05:37.\n\nAssemblyAI releases a C#. WEB SDK, allowing developers to record as well as evaluate audio, as well as use LLMs utilizing LeMUR.\n\n\n\n\nAssemblyAI has actually introduced the launch of its brand new C#. WEB SDK, developed to facilitate audio transcription and also evaluation for designers utilizing.NET languages such as C#, VB.NET, and also F#. The SDK strives to streamline the use of AssemblyAI's state-of-the-art Speech AI models, depending on to AssemblyAI.\nKey Components as well as Objectives.\nThe SDK has actually been cultivated along with several crucial purposes in mind:.\n\nOffer an intuitive user interface for all AssemblyAI models and also functions making use of idiomatic C

.Make sure being compatible along with numerous structures, including.NET 6.0,. Web Platform 4.6.2, and.NET Specification 2.0 and above.Minimize reliances to prevent version problems and the requirement for binding redirects.Recording Sound Info.Among the primary capabilities of the SDK is actually audio transcription. Developers can easily translate audio data asynchronously or even in real-time. Below is actually an example of how to transcribe an audio data:.making use of AssemblyAI.making use of AssemblyAI.Transcripts.var customer = brand-new AssemblyAIClient(" YOUR_API_KEY").var records = wait for client.Transcripts.TranscribeAsync( new TranscriptParams.AudioUrl="https://storage.googleapis.com/aai-docs-samples/nbc.mp3". ).transcript.EnsureStatusCompleted().Console.WriteLine( transcript.Text).For neighborhood reports, identical code could be made use of to accomplish transcription.wait for making use of var flow = new FileStream("./ nbc.mp3", FileMode.Open).var transcript = await client.Transcripts.TranscribeAsync(.stream,.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 specifically practical for treatments needing instant processing of audio information.using AssemblyAI.Realtime.await making use of var scribe = brand new RealtimeTranscriber( new RealtimeTranscriberOptions.ApiKey="YOUR_API_KEY",.SampleRate = 16_000. ).transcriber.PartialTranscriptReceived.Subscribe( records =&gtConsole.WriteLine($" Partial: transcript.Text "). ).transcriber.FinalTranscriptReceived.Subscribe( records =&gtConsole.WriteLine($" Last: transcript.Text "). ).wait for transcriber.ConnectAsync().// Pseudocode for acquiring sound from a mic for example.GetAudio( async (piece) =&gt wait for transcriber.SendAudioAsync( chunk)).wait for transcriber.CloseAsync().Using LeMUR for LLM Functions.The SDK incorporates with LeMUR to make it possible for programmers to construct big foreign language design (LLM) applications on voice data. Listed below is an example:.var lemurTaskParams = brand new LemurTaskParams.Trigger="Give a short recap of the records.",.TranscriptIds = [transcript.Id],.FinalModel = LemurModel.AnthropicClaude3 _ 5_Sonnet..var response = await client.Lemur.TaskAsync( lemurTaskParams).Console.WriteLine( response.Response).Audio Intellect Styles.Additionally, the SDK includes integrated assistance for audio intelligence styles, making it possible for belief review and various other innovative attributes.var transcript = wait for 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 downside.Console.WriteLine( result.Confidence).Console.WriteLine($" Timestamp: result.Start - result.End ").To learn more, explore the formal AssemblyAI blog.Image source: Shutterstock.