AssemblyAI Introduces C#. WEB SDK for Advanced Audio Transcription and also Review #.\n\nLuisa Crawford.\nSep 03, 2024 05:37.\n\nAssemblyAI discharges a C#. WEB SDK, making it possible for developers to record and also examine audio, as well as use LLMs making use of LeMUR.\n\n\n\n\nAssemblyAI has announced the launch of its brand new C#. NET SDK, designed to promote audio transcription and analysis for developers utilizing.NET languages including C#, VB.NET, as well as F#. The SDK strives to simplify the use of AssemblyAI's sophisticated Pep talk AI designs, depending on to AssemblyAI.\nSecret Functions and Targets.\nThe SDK has actually been actually created along with several key objectives in thoughts:.\n\nGive an intuitive interface for all AssemblyAI versions and components using idiomatic C

.Ensure compatibility with numerous platforms, including.NET 6.0,. Internet Structure 4.6.2, and.NET Criterion 2.0 and also above.Minimize dependences to avoid model disagreements and also the demand for binding redirects.Translating Sound Files.Among the major capabilities of the SDK is actually audio transcription. Programmers may translate audio files asynchronously or in real-time. Below is actually an instance of how to transcribe an audio documents:.using AssemblyAI.making use of AssemblyAI.Transcripts.var customer = new AssemblyAIClient(" YOUR_API_KEY").var records = 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 documents, similar code could be made use of to accomplish transcription.wait for using var flow = brand new FileStream("./ nbc.mp3", FileMode.Open).var records = wait for client.Transcripts.TranscribeAsync(.flow,.new TranscriptOptionalParams.LanguageCode = TranscriptLanguageCode.EnUs.).transcript.EnsureStatusCompleted().Console.WriteLine( transcript.Text).Real-Time Audio Transcription.The SDK likewise sustains real-time audio transcription making use of Streaming Speech-to-Text. This feature is actually particularly helpful for applications demanding prompt handling of audio information.making use of AssemblyAI.Realtime.wait for making use of var scribe = brand-new RealtimeTranscriber( brand-new RealtimeTranscriberOptions.ApiKey="YOUR_API_KEY",.SampleRate = 16_000. ).transcriber.PartialTranscriptReceived.Subscribe( transcript =&gtConsole.WriteLine($" Limited: transcript.Text "). ).transcriber.FinalTranscriptReceived.Subscribe( transcript =&gtConsole.WriteLine($" Ultimate: transcript.Text "). ).wait for transcriber.ConnectAsync().// Pseudocode for acquiring audio coming from a mic as an example.GetAudio( async (chunk) =&gt await transcriber.SendAudioAsync( portion)).wait for transcriber.CloseAsync().Utilizing LeMUR for LLM Functions.The SDK integrates along with LeMUR to enable programmers to build huge foreign language style (LLM) apps on vocal information. Listed here is actually an instance:.var lemurTaskParams = new LemurTaskParams.Motivate="Give a brief conclusion of the records.",.TranscriptIds = [transcript.Id],.FinalModel = LemurModel.AnthropicClaude3 _ 5_Sonnet..var feedback = await client.Lemur.TaskAsync( lemurTaskParams).Console.WriteLine( response.Response).Sound Intelligence Models.Also, the SDK comes with built-in assistance for audio intellect styles, making it possible for view review and other advanced functions.var records = wait for client.Transcripts.TranscribeAsync( new TranscriptParams.AudioUrl="https://storage.googleapis.com/aai-docs-samples/nbc.mp3",.SentimentAnalysis = correct. ).foreach (var cause 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, check out the official AssemblyAI blog.Image source: Shutterstock.