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AssemblyAI Introduces C#. NET SDK for Advanced Audio Transcription and also Analysis #.\n\nLuisa Crawford.\nSep 03, 2024 05:37.\n\nAssemblyAI discharges a C#. NET SDK, permitting designers to translate as well as examine sound, and apply LLMs making use of LeMUR.\n\n\n\n\nAssemblyAI has introduced the launch of its own brand new C#. WEB SDK, made to facilitate audio transcription and evaluation for programmers utilizing.NET languages including C#, VB.NET, and F#. The SDK intends to improve the use of AssemblyAI's advanced Pep talk AI designs, depending on to AssemblyAI.\nSecret Functions as well as Objectives.\nThe SDK has been actually created with numerous key objectives in thoughts:.\n\nDeliver an intuitive interface for all AssemblyAI models and attributes making use of idiomatic C

.Make sure being compatible with multiple platforms, including.NET 6.0,. Web Platform 4.6.2, and.NET Standard 2.0 and also above.Minimize reliances to prevent variation disagreements as well as the necessity for binding redirects.Transcribing Audio Information.Some of the key functionalities of the SDK is audio transcription. Developers can record audio documents asynchronously or even in real-time. Below is an instance of how to translate an audio file:.making use of AssemblyAI.utilizing 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 neighborhood files, comparable code could be made use of to obtain transcription.await using var flow = brand new FileStream("./ nbc.mp3", FileMode.Open).var transcript = await client.Transcripts.TranscribeAsync(.flow,.brand new TranscriptOptionalParams.LanguageCode = TranscriptLanguageCode.EnUs.).transcript.EnsureStatusCompleted().Console.WriteLine( transcript.Text).Real-Time Sound Transcription.The SDK additionally supports real-time sound transcription using Streaming Speech-to-Text. This feature is particularly practical for requests requiring quick handling of audio information.utilizing AssemblyAI.Realtime.await utilizing var transcriber = brand-new RealtimeTranscriber( brand 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 "). ).await transcriber.ConnectAsync().// Pseudocode for acquiring sound from a mic as an example.GetAudio( async (chunk) =&gt wait for transcriber.SendAudioAsync( part)).await transcriber.CloseAsync().Utilizing LeMUR for LLM Applications.The SDK combines along with LeMUR to permit developers to build big foreign language design (LLM) apps on vocal data. Below is actually an instance:.var lemurTaskParams = brand-new LemurTaskParams.Prompt="Provide a short rundown of the transcript.",.TranscriptIds = [transcript.Id],.FinalModel = LemurModel.AnthropicClaude3 _ 5_Sonnet..var action = await client.Lemur.TaskAsync( lemurTaskParams).Console.WriteLine( response.Response).Audio Intelligence Models.Also, the SDK possesses integrated support for audio knowledge designs, enabling sentiment study and also various other enhanced components.var records = await client.Transcripts.TranscribeAsync( brand-new TranscriptParams.AudioUrl="https://storage.googleapis.com/aai-docs-samples/nbc.mp3",.SentimentAnalysis = real. ).foreach (var cause transcript.SentimentAnalysisResults!).Console.WriteLine( result.Text).Console.WriteLine( result.Sentiment)// BENEFICIAL, NEUTRAL, or downside.Console.WriteLine( result.Confidence).Console.WriteLine($" Timestamp: result.Start - result.End ").To read more, explore the formal AssemblyAI blog.Image source: Shutterstock.

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