AssemblyAI Reveals C#. NET SDK for Advanced Audio Transcription and also Review #.\n\nLuisa Crawford.\nSep 03, 2024 05:37.\n\nAssemblyAI launches a C#. NET SDK, enabling developers to record and assess audio, as well as apply LLMs making use of LeMUR.\n\n\n\n\nAssemblyAI has revealed the launch of its own brand-new C#. NET SDK, designed to facilitate audio transcription and analysis for programmers utilizing.NET languages including C#, VB.NET, and F#. The SDK strives to streamline the use of AssemblyAI's sophisticated Pep talk AI models, depending on to AssemblyAI.\nTrick Functions as well as Targets.\nThe SDK has been created with several vital purposes in thoughts:.\n\nDeliver an user-friendly user interface for all AssemblyAI designs as well as attributes making use of colloquial C

.Make sure compatibility with a number of structures, including.NET 6.0,. Web Structure 4.6.2, and.NET Requirement 2.0 and also above.Reduce dependences to stop variation disagreements and the necessity for binding redirects.Recording Sound Data.Among the major functions of the SDK is audio transcription. Designers can translate audio data asynchronously or even in real-time. Below is an example of exactly how to record an audio file:.making use of AssemblyAI.using AssemblyAI.Transcripts.var client = brand-new AssemblyAIClient(" YOUR_API_KEY").var transcript = 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 data, identical code may be used to attain transcription.await utilizing var flow = brand new FileStream("./ nbc.mp3", FileMode.Open).var records = wait for client.Transcripts.TranscribeAsync(.stream,.brand-new TranscriptOptionalParams.LanguageCode = TranscriptLanguageCode.EnUs.).transcript.EnsureStatusCompleted().Console.WriteLine( transcript.Text).Real-Time Sound Transcription.The SDK additionally supports real-time sound transcription making use of Streaming Speech-to-Text. This attribute is specifically useful for applications requiring prompt handling of audio information.utilizing AssemblyAI.Realtime.await using var scribe = brand-new RealtimeTranscriber( brand-new RealtimeTranscriberOptions.ApiKey="YOUR_API_KEY",.SampleRate = 16_000. ).transcriber.PartialTranscriptReceived.Subscribe( transcript =&gtConsole.WriteLine($" Partial: transcript.Text "). ).transcriber.FinalTranscriptReceived.Subscribe( records =&gtConsole.WriteLine($" Final: transcript.Text "). ).await transcriber.ConnectAsync().// Pseudocode for obtaining audio from a mic for example.GetAudio( async (part) =&gt await transcriber.SendAudioAsync( piece)).wait for transcriber.CloseAsync().Utilizing LeMUR for LLM Apps.The SDK includes along with LeMUR to allow programmers to develop big foreign language model (LLM) functions on voice data. Right here is actually an instance:.var lemurTaskParams = brand new LemurTaskParams.Motivate="Provide 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 Designs.In addition, the SDK includes built-in assistance for audio intellect versions, enabling feeling analysis and various other advanced functions.var records = await client.Transcripts.TranscribeAsync( brand-new TranscriptParams.AudioUrl="https://storage.googleapis.com/aai-docs-samples/nbc.mp3",.SentimentAnalysis = correct. ).foreach (var lead to transcript.SentimentAnalysisResults!).Console.WriteLine( result.Text).Console.WriteLine( result.Sentiment)// BENEFICIAL, NEUTRAL, or even downside.Console.WriteLine( result.Confidence).Console.WriteLine($" Timestamp: result.Start - result.End ").For more information, go to the formal AssemblyAI blog.Image resource: Shutterstock.