AssemblyAI Unveils C#. NET SDK for Advanced Audio Transcription as well as Evaluation #.\n\nLuisa Crawford.\nSep 03, 2024 05:37.\n\nAssemblyAI releases a C#. NET SDK, making it possible for designers to record and examine audio, and also use LLMs making use of LeMUR.\n\n\n\n\nAssemblyAI has actually declared the release of its own brand-new C#. NET SDK, made to assist in audio transcription as well as analysis for creators utilizing.NET foreign languages such as C#, VB.NET, as well as F#. The SDK aims to streamline making use of AssemblyAI's sophisticated Pep talk AI designs, according to AssemblyAI.\nTrick Functions and also Targets.\nThe SDK has been established with numerous crucial purposes in mind:.\n\nProvide an instinctive user interface for all AssemblyAI designs as well as functions making use of idiomatic C

.Make sure being compatible along with various frameworks, including.NET 6.0,. NET Structure 4.6.2, and.NET Standard 2.0 and also above.Lessen addictions to stop model disputes and also the need for binding redirects.Recording Sound Info.One of the primary performances of the SDK is audio transcription. Programmers can record audio data asynchronously or in real-time. Below is an example of exactly how to translate an audio file:.utilizing AssemblyAI.making use of 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 area reports, comparable code may be used to attain transcription.wait for using var flow = brand-new FileStream("./ nbc.mp3", FileMode.Open).var transcript = await client.Transcripts.TranscribeAsync(.flow,.new TranscriptOptionalParams.LanguageCode = TranscriptLanguageCode.EnUs.).transcript.EnsureStatusCompleted().Console.WriteLine( transcript.Text).Real-Time Audio Transcription.The SDK also holds real-time audio transcription using Streaming Speech-to-Text. This function is particularly practical for treatments calling for prompt handling of audio information.utilizing AssemblyAI.Realtime.await making use of var transcriber = brand new RealtimeTranscriber( brand new RealtimeTranscriberOptions.ApiKey="YOUR_API_KEY",.SampleRate = 16_000. ).transcriber.PartialTranscriptReceived.Subscribe( records =&gtConsole.WriteLine($" Limited: transcript.Text "). ).transcriber.FinalTranscriptReceived.Subscribe( records =&gtConsole.WriteLine($" Final: transcript.Text "). ).await transcriber.ConnectAsync().// Pseudocode for obtaining audio from a microphone for example.GetAudio( async (piece) =&gt wait for transcriber.SendAudioAsync( chunk)).await transcriber.CloseAsync().Utilizing LeMUR for LLM Applications.The SDK incorporates along with LeMUR to enable designers to construct large foreign language style (LLM) applications on voice data. Listed below is actually an instance:.var lemurTaskParams = new LemurTaskParams.Urge="Supply a brief review of the transcript.",.TranscriptIds = [transcript.Id],.FinalModel = LemurModel.AnthropicClaude3 _ 5_Sonnet..var action = wait for client.Lemur.TaskAsync( lemurTaskParams).Console.WriteLine( response.Response).Sound Cleverness Designs.Furthermore, the SDK includes built-in support for audio cleverness models, allowing feeling study and other state-of-the-art components.var records = await client.Transcripts.TranscribeAsync( brand new TranscriptParams.AudioUrl="https://storage.googleapis.com/aai-docs-samples/nbc.mp3",.SentimentAnalysis = accurate. ).foreach (var lead to transcript.SentimentAnalysisResults!).Console.WriteLine( result.Text).Console.WriteLine( result.Sentiment)// GOOD, NEUTRAL, or even NEGATIVE.Console.WriteLine( result.Confidence).Console.WriteLine($" Timestamp: result.Start - result.End ").For additional information, check out the official AssemblyAI blog.Image resource: Shutterstock.