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AssemblyAI Unveils C#. WEB SDK for Advanced Audio Transcription as well as Evaluation #.\n\nLuisa Crawford.\nSep 03, 2024 05:37.\n\nAssemblyAI discharges a C#. NET SDK, permitting creators to transcribe and study sound, and administer LLMs utilizing LeMUR.\n\n\n\n\nAssemblyAI has introduced the release of its own new C#. WEB SDK, designed to promote audio transcription and also evaluation for programmers utilizing.NET languages like C#, VB.NET, and F#. The SDK aims to improve making use of AssemblyAI's innovative Speech AI models, depending on to AssemblyAI.\nKey Components and also Goals.\nThe SDK has actually been actually established with a number of crucial objectives in mind:.\n\nOffer an intuitive interface for all AssemblyAI designs and also components using idiomatic C

.Ensure compatibility along with a number of platforms, including.NET 6.0,. Web Structure 4.6.2, and.NET Specification 2.0 and above.Lessen dependencies to stop variation disagreements and the requirement for binding redirects.Transcribing Audio Information.Among the main performances of the SDK is actually audio transcription. Developers can easily translate audio documents asynchronously or even in real-time. Below is actually an instance of how to record an audio data:.using AssemblyAI.utilizing AssemblyAI.Transcripts.var client = brand 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 area files, comparable code can be made use of to achieve transcription.wait for utilizing var flow = brand-new FileStream("./ nbc.mp3", FileMode.Open).var records = wait for client.Transcripts.TranscribeAsync(.flow,.brand-new TranscriptOptionalParams.LanguageCode = TranscriptLanguageCode.EnUs.).transcript.EnsureStatusCompleted().Console.WriteLine( transcript.Text).Real-Time Audio Transcription.The SDK also supports real-time sound transcription utilizing Streaming Speech-to-Text. This feature is specifically beneficial for treatments calling for instant processing of audio records.using AssemblyAI.Realtime.wait for using var scribe = brand new RealtimeTranscriber( new RealtimeTranscriberOptions.ApiKey="YOUR_API_KEY",.SampleRate = 16_000. ).transcriber.PartialTranscriptReceived.Subscribe( transcript =&gtConsole.WriteLine($" Limited: transcript.Text "). ).transcriber.FinalTranscriptReceived.Subscribe( transcript =&gtConsole.WriteLine($" Last: transcript.Text "). ).wait for transcriber.ConnectAsync().// Pseudocode for getting audio from a microphone for instance.GetAudio( async (piece) =&gt await transcriber.SendAudioAsync( chunk)).wait for transcriber.CloseAsync().Making Use Of LeMUR for LLM Applications.The SDK includes with LeMUR to allow programmers to build sizable foreign language model (LLM) apps on vocal data. Here is an instance:.var lemurTaskParams = new LemurTaskParams.Urge="Provide a brief recap of the records.",.TranscriptIds = [transcript.Id],.FinalModel = LemurModel.AnthropicClaude3 _ 5_Sonnet..var feedback = await client.Lemur.TaskAsync( lemurTaskParams).Console.WriteLine( response.Response).Audio Knowledge Versions.Furthermore, the SDK possesses integrated assistance for audio intelligence versions, permitting view analysis and also other sophisticated features.var transcript = await client.Transcripts.TranscribeAsync( brand-new TranscriptParams.AudioUrl="https://storage.googleapis.com/aai-docs-samples/nbc.mp3",.SentimentAnalysis = accurate. ).foreach (var cause 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 official AssemblyAI blog.Image resource: Shutterstock.

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