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AssemblyAI Reveals C#. INTERNET SDK for Advanced Sound Transcription and also Evaluation #.\n\nLuisa Crawford.\nSep 03, 2024 05:37.\n\nAssemblyAI launches a C#. WEB SDK, making it possible for developers to translate and analyze sound, as well as apply LLMs using LeMUR.\n\n\n\n\nAssemblyAI has actually declared the launch of its new C#. WEB SDK, made to help with audio transcription as well as evaluation for programmers utilizing.NET languages such as C#, VB.NET, and F#. The SDK targets to improve making use of AssemblyAI's state-of-the-art Pep talk AI designs, according to AssemblyAI.\nKey Components as well as Targets.\nThe SDK has actually been actually cultivated along with numerous vital purposes in thoughts:.\n\nDeliver an intuitive interface for all AssemblyAI styles and components using idiomatic C

.Ensure compatibility with numerous structures, including.NET 6.0,. Web Platform 4.6.2, and.NET Criterion 2.0 as well as above.Minimize addictions to avoid model disagreements and the necessity for tiing redirects.Transcribing Audio Information.Some of the main capabilities of the SDK is actually audio transcription. Programmers may translate audio reports asynchronously or in real-time. Below is an example of just how to transcribe an audio documents:.utilizing AssemblyAI.making use of AssemblyAI.Transcripts.var client = brand-new AssemblyAIClient(" YOUR_API_KEY").var records = wait for client.Transcripts.TranscribeAsync( brand new TranscriptParams.AudioUrl="https://storage.googleapis.com/aai-docs-samples/nbc.mp3". ).transcript.EnsureStatusCompleted().Console.WriteLine( transcript.Text).For local area files, identical code may be used to obtain transcription.wait for using var flow = brand 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 additionally reinforces real-time sound transcription making use of Streaming Speech-to-Text. This feature is actually specifically practical for applications calling for immediate processing of audio data.using AssemblyAI.Realtime.await using var scribe = brand new RealtimeTranscriber( new RealtimeTranscriberOptions.ApiKey="YOUR_API_KEY",.SampleRate = 16_000. ).transcriber.PartialTranscriptReceived.Subscribe( transcript =&gtConsole.WriteLine($" Partial: transcript.Text "). ).transcriber.FinalTranscriptReceived.Subscribe( records =&gtConsole.WriteLine($" Last: transcript.Text "). ).wait for transcriber.ConnectAsync().// Pseudocode for receiving sound from a microphone as an example.GetAudio( async (chunk) =&gt wait for transcriber.SendAudioAsync( portion)).await transcriber.CloseAsync().Making Use Of LeMUR for LLM Functions.The SDK incorporates along with LeMUR to make it possible for creators to construct large foreign language version (LLM) apps on voice information. Here is actually an example:.var lemurTaskParams = brand new LemurTaskParams.Cue="Supply a brief recap of the records.",.TranscriptIds = [transcript.Id],.FinalModel = LemurModel.AnthropicClaude3 _ 5_Sonnet..var feedback = wait for client.Lemur.TaskAsync( lemurTaskParams).Console.WriteLine( response.Response).Audio Cleverness Versions.In addition, the SDK comes with built-in assistance for audio intelligence designs, allowing sentiment study and other enhanced functions.var transcript = 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)// POSITIVE, NEUTRAL, or NEGATIVE.Console.WriteLine( result.Confidence).Console.WriteLine($" Timestamp: result.Start - result.End ").For more details, visit the official AssemblyAI blog.Image source: Shutterstock.

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