AssemblyAI Introduces C#. WEB SDK for Advanced Audio Transcription as well as Review #.\n\nLuisa Crawford.\nSep 03, 2024 05:37.\n\nAssemblyAI releases a C#. WEB SDK, allowing designers to transcribe and study sound, and apply LLMs making use of LeMUR.\n\n\n\n\nAssemblyAI has introduced the release of its new C#. NET SDK, developed to assist in audio transcription as well as analysis for developers utilizing.NET languages including C#, VB.NET, and F#. The SDK strives to improve using AssemblyAI's sophisticated Pep talk AI models, depending on to AssemblyAI.\nSecret Components as well as Targets.\nThe SDK has actually been actually established along with several key purposes in thoughts:.\n\nDeliver an user-friendly user interface for all AssemblyAI models and also components utilizing idiomatic C

.Ensure being compatible along with a number of frameworks, including.NET 6.0,. NET Framework 4.6.2, and.NET Requirement 2.0 as well as above.Minimize dependencies to prevent model problems and the requirement for binding redirects.Transcribing Sound Info.Some of the key functions of the SDK is actually audio transcription. Developers may record audio data asynchronously or even in real-time. Below is actually an example of how to transcribe an audio documents:.utilizing AssemblyAI.using AssemblyAI.Transcripts.var customer = brand-new AssemblyAIClient(" YOUR_API_KEY").var transcript = wait for client.Transcripts.TranscribeAsync( new TranscriptParams.AudioUrl="https://storage.googleapis.com/aai-docs-samples/nbc.mp3". ).transcript.EnsureStatusCompleted().Console.WriteLine( transcript.Text).For local area reports, identical code could be made use of to achieve transcription.wait for making use of var stream = brand-new FileStream("./ nbc.mp3", FileMode.Open).var records = wait for client.Transcripts.TranscribeAsync(.flow,.brand-new TranscriptOptionalParams.LanguageCode = TranscriptLanguageCode.EnUs.).transcript.EnsureStatusCompleted().Console.WriteLine( transcript.Text).Real-Time Sound Transcription.The SDK also supports real-time audio transcription utilizing Streaming Speech-to-Text. This function is especially valuable for requests demanding urgent handling of audio information.utilizing AssemblyAI.Realtime.wait for using var scribe = brand new RealtimeTranscriber( new RealtimeTranscriberOptions.ApiKey="YOUR_API_KEY",.SampleRate = 16_000. ).transcriber.PartialTranscriptReceived.Subscribe( records =&gtConsole.WriteLine($" Partial: transcript.Text "). ).transcriber.FinalTranscriptReceived.Subscribe( transcript =&gtConsole.WriteLine($" Final: transcript.Text "). ).await transcriber.ConnectAsync().// Pseudocode for receiving audio from a mic as an example.GetAudio( async (chunk) =&gt wait for transcriber.SendAudioAsync( chunk)).await transcriber.CloseAsync().Utilizing LeMUR for LLM Apps.The SDK integrates with LeMUR to allow creators to create sizable foreign language style (LLM) applications on vocal information. Below is actually an instance:.var lemurTaskParams = brand new LemurTaskParams.Cause="Give a short summary of the records.",.TranscriptIds = [transcript.Id],.FinalModel = LemurModel.AnthropicClaude3 _ 5_Sonnet..var feedback = wait for client.Lemur.TaskAsync( lemurTaskParams).Console.WriteLine( response.Response).Sound Knowledge Designs.Also, the SDK possesses integrated support for audio knowledge designs, enabling feeling analysis as well as various other sophisticated attributes.var transcript = await client.Transcripts.TranscribeAsync( new TranscriptParams.AudioUrl="https://storage.googleapis.com/aai-docs-samples/nbc.mp3",.SentimentAnalysis = true. ).foreach (var result in transcript.SentimentAnalysisResults!).Console.WriteLine( result.Text).Console.WriteLine( result.Sentiment)// FAVORABLE, NEUTRAL, or even NEGATIVE.Console.WriteLine( result.Confidence).Console.WriteLine($" Timestamp: result.Start - result.End ").For more details, visit the formal AssemblyAI blog.Image source: Shutterstock.