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AssemblyAI Reveals C#. NET SDK for Advanced Audio Transcription as well as Study #.\n\nLuisa Crawford.\nSep 03, 2024 05:37.\n\nAssemblyAI releases a C#. INTERNET SDK, making it possible for designers to transcribe and also assess audio, and also use LLMs making use of LeMUR.\n\n\n\n\nAssemblyAI has actually announced the release of its brand-new C#. INTERNET SDK, made to help with audio transcription as well as evaluation for programmers utilizing.NET foreign languages like C#, VB.NET, as well as F#. The SDK intends to enhance using AssemblyAI's innovative Speech AI models, depending on to AssemblyAI.\nTrick Functions and also Goals.\nThe SDK has been developed with numerous crucial objectives in mind:.\n\nGive an instinctive user interface for all AssemblyAI designs as well as features using colloquial C

.Make certain being compatible along with several structures, including.NET 6.0,. Web Structure 4.6.2, and.NET Criterion 2.0 and also above.Minimize dependences to prevent version problems and also the demand for binding redirects.Transcribing Sound Information.Among the key capabilities of the SDK is actually audio transcription. Creators can easily record audio documents asynchronously or in real-time. Below is an instance of how to transcribe an audio file:.making use of AssemblyAI.using AssemblyAI.Transcripts.var client = new AssemblyAIClient(" YOUR_API_KEY").var transcript = await client.Transcripts.TranscribeAsync( brand-new TranscriptParams.AudioUrl="https://storage.googleapis.com/aai-docs-samples/nbc.mp3". ).transcript.EnsureStatusCompleted().Console.WriteLine( transcript.Text).For local data, comparable code may be made use of to attain transcription.wait for making use of var flow = 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 Sound Transcription.The SDK also sustains real-time audio transcription making use of Streaming Speech-to-Text. This feature is actually specifically helpful for treatments demanding quick processing of audio data.making use of AssemblyAI.Realtime.await using var transcriber = brand new RealtimeTranscriber( brand-new RealtimeTranscriberOptions.ApiKey="YOUR_API_KEY",.SampleRate = 16_000. ).transcriber.PartialTranscriptReceived.Subscribe( records =&gtConsole.WriteLine($" Limited: transcript.Text "). ).transcriber.FinalTranscriptReceived.Subscribe( transcript =&gtConsole.WriteLine($" Last: transcript.Text "). ).await transcriber.ConnectAsync().// Pseudocode for acquiring sound coming from a mic for instance.GetAudio( async (chunk) =&gt wait for transcriber.SendAudioAsync( part)).await transcriber.CloseAsync().Making Use Of LeMUR for LLM Apps.The SDK includes with LeMUR to enable developers to construct huge foreign language model (LLM) apps on vocal data. Below is an example:.var lemurTaskParams = new LemurTaskParams.Urge="Deliver a quick summary of the transcript.",.TranscriptIds = [transcript.Id],.FinalModel = LemurModel.AnthropicClaude3 _ 5_Sonnet..var feedback = wait for client.Lemur.TaskAsync( lemurTaskParams).Console.WriteLine( response.Response).Audio Intelligence Models.In addition, the SDK comes with integrated support for audio intelligence versions, permitting belief review and also various other sophisticated attributes.var transcript = await 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)// POSITIVE, NEUTRAL, or even NEGATIVE.Console.WriteLine( result.Confidence).Console.WriteLine($" Timestamp: result.Start - result.End ").To read more, visit the formal AssemblyAI blog.Image resource: Shutterstock.

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