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AssemblyAI Reveals C#. NET SDK for Advanced Audio Transcription and Study #.\n\nLuisa Crawford.\nSep 03, 2024 05:37.\n\nAssemblyAI launches a C#. INTERNET SDK, enabling designers to record as well as assess audio, and apply LLMs utilizing LeMUR.\n\n\n\n\nAssemblyAI has introduced the release of its brand new C#. NET SDK, made to assist in audio transcription and analysis for creators utilizing.NET languages such as C#, VB.NET, as well as F#. The SDK targets to simplify the use of AssemblyAI's sophisticated Pep talk AI models, depending on to AssemblyAI.\nSecret Functions and also Targets.\nThe SDK has actually been established along with several crucial purposes in thoughts:.\n\nDeliver an user-friendly user interface for all AssemblyAI styles as well as components using colloquial C

.Make sure being compatible along with numerous frameworks, including.NET 6.0,. Web Structure 4.6.2, and.NET Requirement 2.0 and above.Reduce reliances to prevent model problems and the necessity for tiing redirects.Transcribing Sound Record.Among the key functions of the SDK is audio transcription. Creators can translate audio data asynchronously or even in real-time. Below is actually an example of how to record an audio report:.making use of AssemblyAI.making use of AssemblyAI.Transcripts.var client = new AssemblyAIClient(" YOUR_API_KEY").var transcript = 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 documents, identical code could be made use of to achieve transcription.await 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 Audio Transcription.The SDK also sustains real-time audio transcription making use of Streaming Speech-to-Text. This function is specifically useful for requests calling for quick processing of audio data.using AssemblyAI.Realtime.wait for making use of var transcriber = brand-new RealtimeTranscriber( new RealtimeTranscriberOptions.ApiKey="YOUR_API_KEY",.SampleRate = 16_000. ).transcriber.PartialTranscriptReceived.Subscribe( transcript =&gtConsole.WriteLine($" Partial: transcript.Text "). ).transcriber.FinalTranscriptReceived.Subscribe( records =&gtConsole.WriteLine($" Final: transcript.Text "). ).wait for transcriber.ConnectAsync().// Pseudocode for receiving sound from a microphone as an example.GetAudio( async (part) =&gt await transcriber.SendAudioAsync( part)).wait for transcriber.CloseAsync().Taking Advantage Of LeMUR for LLM Functions.The SDK integrates along with LeMUR to permit designers to construct sizable language version (LLM) applications on voice data. Below is an instance:.var lemurTaskParams = new LemurTaskParams.Motivate="Supply a short review of the records.",.TranscriptIds = [transcript.Id],.FinalModel = LemurModel.AnthropicClaude3 _ 5_Sonnet..var reaction = await client.Lemur.TaskAsync( lemurTaskParams).Console.WriteLine( response.Response).Sound Cleverness Styles.Also, the SDK possesses integrated help for audio intellect models, making it possible for conviction analysis and other advanced attributes.var transcript = await client.Transcripts.TranscribeAsync( new TranscriptParams.AudioUrl="https://storage.googleapis.com/aai-docs-samples/nbc.mp3",.SentimentAnalysis = real. ).foreach (var result in transcript.SentimentAnalysisResults!).Console.WriteLine( result.Text).Console.WriteLine( result.Sentiment)// GOOD, NEUTRAL, or NEGATIVE.Console.WriteLine( result.Confidence).Console.WriteLine($" Timestamp: result.Start - result.End ").To find out more, go to the main AssemblyAI blog.Image source: Shutterstock.

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