AssemblyAI Introduces C#. INTERNET SDK for Advanced Sound Transcription and also Evaluation #.\n\nLuisa Crawford.\nSep 03, 2024 05:37.\n\nAssemblyAI releases a C#. INTERNET SDK, enabling designers to record as well as study audio, and also use LLMs using LeMUR.\n\n\n\n\nAssemblyAI has introduced the release of its own brand-new C#. NET SDK, made to facilitate audio transcription and evaluation for developers utilizing.NET languages such as C#, VB.NET, and F#. The SDK strives to streamline the use of AssemblyAI's enhanced Pep talk AI models, depending on to AssemblyAI.\nTrick Components and Targets.\nThe SDK has been created with many key objectives in mind:.\n\nGive an instinctive user interface for all AssemblyAI models and features utilizing idiomatic C

.Make sure compatibility along with a number of frameworks, including.NET 6.0,. Web Platform 4.6.2, and.NET Requirement 2.0 and above.Reduce dependencies to avoid model disputes and the demand for tiing redirects.Translating Audio Data.One of the key functionalities of the SDK is audio transcription. Programmers can easily transcribe audio files asynchronously or even in real-time. Below is actually an instance of exactly how to transcribe an audio documents:.making use of AssemblyAI.using AssemblyAI.Transcripts.var customer = 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 nearby files, comparable code could be made use of to achieve transcription.await 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 Audio Transcription.The SDK additionally supports real-time sound transcription utilizing Streaming Speech-to-Text. This function is particularly helpful for applications requiring instant handling of audio data.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($" Limited: transcript.Text "). ).transcriber.FinalTranscriptReceived.Subscribe( records =&gtConsole.WriteLine($" Last: transcript.Text "). ).await transcriber.ConnectAsync().// Pseudocode for receiving sound from a microphone as an example.GetAudio( async (part) =&gt wait for transcriber.SendAudioAsync( part)).wait for transcriber.CloseAsync().Utilizing LeMUR for LLM Functions.The SDK integrates with LeMUR to permit developers to build huge foreign language design (LLM) applications on vocal data. Here is actually an instance:.var lemurTaskParams = brand-new LemurTaskParams.Prompt="Offer a quick conclusion of the records.",.TranscriptIds = [transcript.Id],.FinalModel = LemurModel.AnthropicClaude3 _ 5_Sonnet..var reaction = await client.Lemur.TaskAsync( lemurTaskParams).Console.WriteLine( response.Response).Sound Intelligence Models.In addition, the SDK includes built-in assistance for audio knowledge models, enabling feeling study as well as other state-of-the-art components.var records = wait for client.Transcripts.TranscribeAsync( brand 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 NEGATIVE.Console.WriteLine( result.Confidence).Console.WriteLine($" Timestamp: result.Start - result.End ").For more information, check out the official AssemblyAI blog.Image resource: Shutterstock.