AssemblyAI Reveals C#. INTERNET SDK for Advanced Sound Transcription and also Analysis #.\n\nLuisa Crawford.\nSep 03, 2024 05:37.\n\nAssemblyAI discharges a C#. WEB SDK, enabling programmers to transcribe and also study audio, and also use LLMs making use of LeMUR.\n\n\n\n\nAssemblyAI has actually introduced the launch of its brand new C#. NET SDK, made to help with audio transcription as well as evaluation for creators utilizing.NET foreign languages such as C#, VB.NET, and F#. The SDK targets to streamline the use of AssemblyAI's enhanced Speech AI designs, according to AssemblyAI.\nTrick Attributes and also Objectives.\nThe SDK has been developed along with a number of crucial purposes in thoughts:.\n\nGive an intuitive user interface for all AssemblyAI models and also functions using idiomatic C

.Ensure compatibility with various frameworks, including.NET 6.0,. Internet Structure 4.6.2, and.NET Specification 2.0 as well as above.Reduce dependencies to prevent model disputes as well as the demand for tiing redirects.Translating Audio Data.Among the primary functions of the SDK is actually audio transcription. Creators may record audio data asynchronously or even in real-time. Below is actually an example of how to translate an audio report:.utilizing AssemblyAI.utilizing AssemblyAI.Transcripts.var client = brand new AssemblyAIClient(" YOUR_API_KEY").var transcript = wait for client.Transcripts.TranscribeAsync( brand-new TranscriptParams.AudioUrl="https://storage.googleapis.com/aai-docs-samples/nbc.mp3". ).transcript.EnsureStatusCompleted().Console.WriteLine( transcript.Text).For local reports, comparable code can be utilized to obtain transcription.await making use of var stream = brand-new FileStream("./ nbc.mp3", FileMode.Open).var records = await client.Transcripts.TranscribeAsync(.stream,.brand new TranscriptOptionalParams.LanguageCode = TranscriptLanguageCode.EnUs.).transcript.EnsureStatusCompleted().Console.WriteLine( transcript.Text).Real-Time Audio Transcription.The SDK additionally supports real-time sound transcription making use of Streaming Speech-to-Text. This component is actually specifically beneficial for applications calling for prompt handling of audio data.utilizing AssemblyAI.Realtime.await utilizing var scribe = brand-new RealtimeTranscriber( brand new RealtimeTranscriberOptions.ApiKey="YOUR_API_KEY",.SampleRate = 16_000. ).transcriber.PartialTranscriptReceived.Subscribe( transcript =&gtConsole.WriteLine($" Partial: transcript.Text "). ).transcriber.FinalTranscriptReceived.Subscribe( transcript =&gtConsole.WriteLine($" Ultimate: transcript.Text "). ).wait for transcriber.ConnectAsync().// Pseudocode for obtaining audio from a microphone for instance.GetAudio( async (part) =&gt await transcriber.SendAudioAsync( portion)).wait for transcriber.CloseAsync().Using LeMUR for LLM Apps.The SDK includes with LeMUR to permit programmers to construct huge language model (LLM) apps on voice records. Listed below is actually an instance:.var lemurTaskParams = brand new LemurTaskParams.Prompt="Give a brief rundown of the records.",.TranscriptIds = [transcript.Id],.FinalModel = LemurModel.AnthropicClaude3 _ 5_Sonnet..var action = wait for client.Lemur.TaskAsync( lemurTaskParams).Console.WriteLine( response.Response).Audio Intelligence Styles.Also, the SDK includes integrated help for audio cleverness versions, allowing feeling study as well as other state-of-the-art features.var transcript = await client.Transcripts.TranscribeAsync( brand-new TranscriptParams.AudioUrl="https://storage.googleapis.com/aai-docs-samples/nbc.mp3",.SentimentAnalysis = true. ).foreach (var cause transcript.SentimentAnalysisResults!).Console.WriteLine( result.Text).Console.WriteLine( result.Sentiment)// FAVORABLE, NEUTRAL, or NEGATIVE.Console.WriteLine( result.Confidence).Console.WriteLine($" Timestamp: result.Start - result.End ").For more details, check out the official AssemblyAI blog.Image source: Shutterstock.