AssemblyAI Unveils C#. WEB SDK for Advanced Sound Transcription as well as Study #.\n\nLuisa Crawford.\nSep 03, 2024 05:37.\n\nAssemblyAI discharges a C#. NET SDK, enabling designers to record and analyze sound, and use LLMs utilizing LeMUR.\n\n\n\n\nAssemblyAI has actually announced the launch of its own brand-new C#. WEB SDK, designed to promote audio transcription as well as evaluation for creators utilizing.NET foreign languages such as C#, VB.NET, and also F#. The SDK targets to enhance the use of AssemblyAI's state-of-the-art Pep talk AI designs, according to AssemblyAI.\nKey Attributes as well as Targets.\nThe SDK has been created with a number of vital goals in mind:.\n\nSupply an intuitive user interface for all AssemblyAI versions and features making use of idiomatic C

.Guarantee being compatible along with numerous platforms, including.NET 6.0,. Web Framework 4.6.2, and.NET Criterion 2.0 as well as above.Decrease addictions to stop model problems and the need for tiing redirects.Translating Sound Data.Among the primary functions of the SDK is actually audio transcription. Developers can transcribe audio data asynchronously or even in real-time. Below is actually an example of how to translate an audio report:.making use of AssemblyAI.using AssemblyAI.Transcripts.var customer = 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 nearby data, identical code could be used to attain transcription.wait for using var stream = new FileStream("./ nbc.mp3", FileMode.Open).var records = await client.Transcripts.TranscribeAsync(.flow,.brand new TranscriptOptionalParams.LanguageCode = TranscriptLanguageCode.EnUs.).transcript.EnsureStatusCompleted().Console.WriteLine( transcript.Text).Real-Time Sound Transcription.The SDK also sustains real-time audio transcription utilizing Streaming Speech-to-Text. This function is particularly helpful for treatments demanding prompt handling of audio data.making use of AssemblyAI.Realtime.await using var scribe = brand-new RealtimeTranscriber( new RealtimeTranscriberOptions.ApiKey="YOUR_API_KEY",.SampleRate = 16_000. ).transcriber.PartialTranscriptReceived.Subscribe( transcript =&gtConsole.WriteLine($" Partial: transcript.Text "). ).transcriber.FinalTranscriptReceived.Subscribe( transcript =&gtConsole.WriteLine($" Final: transcript.Text "). ).await transcriber.ConnectAsync().// Pseudocode for getting audio from a mic for instance.GetAudio( async (part) =&gt wait for transcriber.SendAudioAsync( piece)).await transcriber.CloseAsync().Utilizing LeMUR for LLM Apps.The SDK integrates with LeMUR to make it possible for designers to develop large foreign language version (LLM) functions on voice records. Below is an instance:.var lemurTaskParams = brand-new LemurTaskParams.Motivate="Provide a short review of the transcript.",.TranscriptIds = [transcript.Id],.FinalModel = LemurModel.AnthropicClaude3 _ 5_Sonnet..var response = wait for client.Lemur.TaskAsync( lemurTaskParams).Console.WriteLine( response.Response).Sound Cleverness Styles.Furthermore, the SDK features integrated assistance for audio knowledge designs, allowing conviction review and various other advanced components.var records = await client.Transcripts.TranscribeAsync( new TranscriptParams.AudioUrl="https://storage.googleapis.com/aai-docs-samples/nbc.mp3",.SentimentAnalysis = real. ).foreach (var result in transcript.SentimentAnalysisResults!).Console.WriteLine( result.Text).Console.WriteLine( result.Sentiment)// BENEFICIAL, NEUTRAL, or NEGATIVE.Console.WriteLine( result.Confidence).Console.WriteLine($" Timestamp: result.Start - result.End ").To read more, visit the official AssemblyAI blog.Image source: Shutterstock.