AssemblyAI Unveils C#. INTERNET SDK for Advanced Sound Transcription as well as Evaluation #.\n\nLuisa Crawford.\nSep 03, 2024 05:37.\n\nAssemblyAI releases a C#. NET SDK, enabling designers to transcribe and also assess sound, as well as use LLMs utilizing LeMUR.\n\n\n\n\nAssemblyAI has introduced the release of its brand-new C#. WEB SDK, made to help with audio transcription as well as evaluation for programmers utilizing.NET foreign languages such as C#, VB.NET, and F#. The SDK strives to improve the use of AssemblyAI's sophisticated Speech AI models, according to AssemblyAI.\nKey Features as well as Targets.\nThe SDK has been actually cultivated with many vital objectives in mind:.\n\nProvide an user-friendly user interface for all AssemblyAI versions as well as functions using idiomatic C

.Ensure being compatible with multiple platforms, including.NET 6.0,. Web Framework 4.6.2, and.NET Requirement 2.0 and above.Reduce dependencies to prevent version disagreements and also the requirement for tiing redirects.Transcribing Sound Record.One of the major performances of the SDK is actually audio transcription. Creators can easily translate audio files asynchronously or even in real-time. Below is an example of exactly how to record an audio report:.using AssemblyAI.using AssemblyAI.Transcripts.var customer = 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 neighborhood files, comparable code may be made use of to achieve transcription.await using var flow = new FileStream("./ nbc.mp3", FileMode.Open).var transcript = await client.Transcripts.TranscribeAsync(.flow,.brand new TranscriptOptionalParams.LanguageCode = TranscriptLanguageCode.EnUs.).transcript.EnsureStatusCompleted().Console.WriteLine( transcript.Text).Real-Time Audio Transcription.The SDK additionally supports real-time sound transcription utilizing Streaming Speech-to-Text. This attribute is actually especially helpful for requests demanding instant handling of audio data.using AssemblyAI.Realtime.await using var transcriber = brand new RealtimeTranscriber( new RealtimeTranscriberOptions.ApiKey="YOUR_API_KEY",.SampleRate = 16_000. ).transcriber.PartialTranscriptReceived.Subscribe( records =&gtConsole.WriteLine($" Limited: transcript.Text "). ).transcriber.FinalTranscriptReceived.Subscribe( transcript =&gtConsole.WriteLine($" Last: transcript.Text "). ).await transcriber.ConnectAsync().// Pseudocode for getting sound from a mic as an example.GetAudio( async (piece) =&gt await transcriber.SendAudioAsync( part)).await transcriber.CloseAsync().Using LeMUR for LLM Apps.The SDK integrates along with LeMUR to enable developers to build huge language version (LLM) apps on voice records. Here is actually an instance:.var lemurTaskParams = brand-new LemurTaskParams.Motivate="Give a quick recap of the transcript.",.TranscriptIds = [transcript.Id],.FinalModel = LemurModel.AnthropicClaude3 _ 5_Sonnet..var feedback = await client.Lemur.TaskAsync( lemurTaskParams).Console.WriteLine( response.Response).Audio Intelligence Styles.Also, the SDK possesses built-in help for audio cleverness models, making it possible for view analysis as well as other advanced attributes.var records = wait for 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 downside.Console.WriteLine( result.Confidence).Console.WriteLine($" Timestamp: result.Start - result.End ").To learn more, see the main AssemblyAI blog.Image resource: Shutterstock.