AssemblyAI Introduces C#. WEB SDK for Advanced Audio Transcription and also Evaluation #.\n\nLuisa Crawford.\nSep 03, 2024 05:37.\n\nAssemblyAI discharges a C#. WEB SDK, enabling programmers to translate and examine audio, and also administer LLMs making use of LeMUR.\n\n\n\n\nAssemblyAI has declared the release of its brand new C#. INTERNET SDK, designed to assist in audio transcription as well as analysis for programmers utilizing.NET languages such as C#, VB.NET, as well as F#. The SDK targets to simplify making use of AssemblyAI's enhanced Speech AI models, depending on to AssemblyAI.\nKey Attributes and also Targets.\nThe SDK has been developed along with numerous vital goals in thoughts:.\n\nDeliver an intuitive interface for all AssemblyAI models as well as features using idiomatic C

.Ensure compatibility along with various structures, including.NET 6.0,. Web Framework 4.6.2, and.NET Criterion 2.0 and also above.Minimize addictions to avoid version conflicts and the necessity for binding redirects.Transcribing Audio Record.Some of the key capabilities of the SDK is audio transcription. Programmers can translate audio reports asynchronously or in real-time. Below is actually an example of exactly how to record an audio documents:.utilizing AssemblyAI.utilizing AssemblyAI.Transcripts.var customer = brand-new AssemblyAIClient(" YOUR_API_KEY").var transcript = await client.Transcripts.TranscribeAsync( new TranscriptParams.AudioUrl="https://storage.googleapis.com/aai-docs-samples/nbc.mp3". ).transcript.EnsureStatusCompleted().Console.WriteLine( transcript.Text).For nearby files, comparable code may be made use of to attain transcription.wait for using var flow = new FileStream("./ nbc.mp3", FileMode.Open).var records = await client.Transcripts.TranscribeAsync(.stream,.new TranscriptOptionalParams.LanguageCode = TranscriptLanguageCode.EnUs.).transcript.EnsureStatusCompleted().Console.WriteLine( transcript.Text).Real-Time Sound Transcription.The SDK additionally supports real-time audio transcription making use of Streaming Speech-to-Text. This feature is specifically helpful for uses needing instant processing of audio records.using AssemblyAI.Realtime.wait for utilizing var transcriber = brand-new RealtimeTranscriber( brand new RealtimeTranscriberOptions.ApiKey="YOUR_API_KEY",.SampleRate = 16_000. ).transcriber.PartialTranscriptReceived.Subscribe( transcript =&gtConsole.WriteLine($" Limited: transcript.Text "). ).transcriber.FinalTranscriptReceived.Subscribe( records =&gtConsole.WriteLine($" Ultimate: transcript.Text "). ).wait for transcriber.ConnectAsync().// Pseudocode for receiving sound from a microphone as an example.GetAudio( async (chunk) =&gt wait for transcriber.SendAudioAsync( piece)).wait for transcriber.CloseAsync().Making Use Of LeMUR for LLM Functions.The SDK combines with LeMUR to allow developers to create big language design (LLM) applications on voice data. Listed below is actually an example:.var lemurTaskParams = new LemurTaskParams.Cue="Offer a brief rundown of the transcript.",.TranscriptIds = [transcript.Id],.FinalModel = LemurModel.AnthropicClaude3 _ 5_Sonnet..var feedback = wait for client.Lemur.TaskAsync( lemurTaskParams).Console.WriteLine( response.Response).Audio Cleverness Designs.Furthermore, the SDK comes with built-in help for audio intelligence versions, making it possible for view analysis as well as other enhanced features.var transcript = await client.Transcripts.TranscribeAsync( brand-new TranscriptParams.AudioUrl="https://storage.googleapis.com/aai-docs-samples/nbc.mp3",.SentimentAnalysis = true. ).foreach (var lead to 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, visit the official AssemblyAI blog.Image source: Shutterstock.