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AssemblyAI Introduces C#. NET SDK for Advanced Sound Transcription and Evaluation #.\n\nLuisa Crawford.\nSep 03, 2024 05:37.\n\nAssemblyAI launches a C#. NET SDK, allowing programmers to transcribe and assess audio, and use LLMs making use of LeMUR.\n\n\n\n\nAssemblyAI has declared the release of its brand new C#. INTERNET SDK, developed to assist in audio transcription and also analysis for designers utilizing.NET languages such as C#, VB.NET, as well as F#. The SDK strives to streamline using AssemblyAI's enhanced Pep talk AI styles, according to AssemblyAI.\nSecret Functions and also Objectives.\nThe SDK has been established along with many crucial goals in mind:.\n\nGive an user-friendly user interface for all AssemblyAI models as well as functions using idiomatic C

.Make certain compatibility along with a number of structures, including.NET 6.0,. Web Platform 4.6.2, and.NET Standard 2.0 and also above.Decrease dependencies to prevent variation disputes as well as the requirement for binding redirects.Translating Audio Record.Some of the main functions of the SDK is audio transcription. Programmers may transcribe audio reports asynchronously or even in real-time. Below is actually an instance of how to transcribe an audio file:.making use of AssemblyAI.using AssemblyAI.Transcripts.var client = brand new AssemblyAIClient(" YOUR_API_KEY").var records = await 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 may be made use of to obtain transcription.await using var flow = brand-new FileStream("./ nbc.mp3", FileMode.Open).var records = await client.Transcripts.TranscribeAsync(.stream,.new TranscriptOptionalParams.LanguageCode = TranscriptLanguageCode.EnUs.).transcript.EnsureStatusCompleted().Console.WriteLine( transcript.Text).Real-Time Audio Transcription.The SDK likewise reinforces real-time audio transcription making use of Streaming Speech-to-Text. This component is actually especially beneficial for treatments demanding immediate processing of audio records.using AssemblyAI.Realtime.wait for making use of var transcriber = brand new RealtimeTranscriber( brand-new RealtimeTranscriberOptions.ApiKey="YOUR_API_KEY",.SampleRate = 16_000. ).transcriber.PartialTranscriptReceived.Subscribe( records =&gtConsole.WriteLine($" Limited: transcript.Text "). ).transcriber.FinalTranscriptReceived.Subscribe( transcript =&gtConsole.WriteLine($" Final: transcript.Text "). ).wait for transcriber.ConnectAsync().// Pseudocode for obtaining audio coming from a mic as an example.GetAudio( async (chunk) =&gt await transcriber.SendAudioAsync( part)).await transcriber.CloseAsync().Making Use Of LeMUR for LLM Functions.The SDK combines along with LeMUR to permit designers to create big foreign language style (LLM) applications on voice data. Listed below is an example:.var lemurTaskParams = brand-new LemurTaskParams.Urge="Deliver a quick recap of the transcript.",.TranscriptIds = [transcript.Id],.FinalModel = LemurModel.AnthropicClaude3 _ 5_Sonnet..var action = await client.Lemur.TaskAsync( lemurTaskParams).Console.WriteLine( response.Response).Sound Intellect Models.In addition, the SDK comes with built-in help for audio knowledge styles, allowing conviction analysis and also other enhanced features.var records = await client.Transcripts.TranscribeAsync( new TranscriptParams.AudioUrl="https://storage.googleapis.com/aai-docs-samples/nbc.mp3",.SentimentAnalysis = accurate. ).foreach (var result in transcript.SentimentAnalysisResults!).Console.WriteLine( result.Text).Console.WriteLine( result.Sentiment)// BENEFICIAL, NEUTRAL, or even downside.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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