AssemblyAI Unveils C#. WEB SDK for Advanced Audio Transcription and Evaluation #.\n\nLuisa Crawford.\nSep 03, 2024 05:37.\n\nAssemblyAI launches a C#. INTERNET SDK, making it possible for programmers to record and analyze audio, as well as administer LLMs utilizing LeMUR.\n\n\n\n\nAssemblyAI has declared the launch of its new C#. INTERNET SDK, developed to help with audio transcription and also analysis for developers utilizing.NET languages such as C#, VB.NET, and also F#. The SDK targets to improve making use of AssemblyAI's sophisticated Pep talk AI designs, depending on to AssemblyAI.\nSecret Functions as well as Objectives.\nThe SDK has been actually established along with several essential goals in thoughts:.\n\nGive an instinctive user interface for all AssemblyAI designs as well as components utilizing idiomatic C

.Guarantee compatibility along with multiple frameworks, including.NET 6.0,. Web Structure 4.6.2, and.NET Requirement 2.0 as well as above.Decrease dependences to avoid version disputes and the need for binding redirects.Recording Sound Data.Some of the main performances of the SDK is actually audio transcription. Designers may record audio reports asynchronously or even in real-time. Below is actually an example of how to translate an audio file:.making use of AssemblyAI.using AssemblyAI.Transcripts.var client = 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 may be utilized to achieve transcription.await utilizing var flow = brand new FileStream("./ nbc.mp3", FileMode.Open).var records = wait for client.Transcripts.TranscribeAsync(.stream,.brand new TranscriptOptionalParams.LanguageCode = TranscriptLanguageCode.EnUs.).transcript.EnsureStatusCompleted().Console.WriteLine( transcript.Text).Real-Time Audio Transcription.The SDK likewise supports real-time audio transcription utilizing Streaming Speech-to-Text. This function is especially useful for requests demanding immediate handling of audio information.making use of AssemblyAI.Realtime.await utilizing var transcriber = brand-new RealtimeTranscriber( brand new RealtimeTranscriberOptions.ApiKey="YOUR_API_KEY",.SampleRate = 16_000. ).transcriber.PartialTranscriptReceived.Subscribe( records =&gtConsole.WriteLine($" Partial: transcript.Text "). ).transcriber.FinalTranscriptReceived.Subscribe( transcript =&gtConsole.WriteLine($" Last: transcript.Text "). ).wait for transcriber.ConnectAsync().// Pseudocode for getting audio coming from a mic as an example.GetAudio( async (portion) =&gt wait for transcriber.SendAudioAsync( piece)).wait for transcriber.CloseAsync().Using LeMUR for LLM Apps.The SDK integrates with LeMUR to allow developers to build large foreign language design (LLM) apps on vocal data. Listed below is an example:.var lemurTaskParams = brand-new LemurTaskParams.Cue="Provide a quick conclusion of the transcript.",.TranscriptIds = [transcript.Id],.FinalModel = LemurModel.AnthropicClaude3 _ 5_Sonnet..var action = await client.Lemur.TaskAsync( lemurTaskParams).Console.WriteLine( response.Response).Audio Intelligence Versions.In addition, the SDK comes with integrated help for audio cleverness models, enabling sentiment evaluation and other enhanced functions.var records = wait for client.Transcripts.TranscribeAsync( new TranscriptParams.AudioUrl="https://storage.googleapis.com/aai-docs-samples/nbc.mp3",.SentimentAnalysis = accurate. ).foreach (var result in transcript.SentimentAnalysisResults!).Console.WriteLine( result.Text).Console.WriteLine( result.Sentiment)// BENEFICIAL, NEUTRAL, or even NEGATIVE.Console.WriteLine( result.Confidence).Console.WriteLine($" Timestamp: result.Start - result.End ").To read more, see the main AssemblyAI blog.Image source: Shutterstock.