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AssemblyAI Unveils C#. NET SDK for Advanced Audio Transcription as well as Evaluation #.\n\nLuisa Crawford.\nSep 03, 2024 05:37.\n\nAssemblyAI releases a C#. NET SDK, permitting creators to transcribe and also assess audio, as well as administer LLMs using LeMUR.\n\n\n\n\nAssemblyAI has introduced the release of its own brand new C#. NET SDK, made to help with audio transcription and also analysis for creators utilizing.NET languages like C#, VB.NET, and also F#. The SDK targets to streamline the use of AssemblyAI's advanced Pep talk AI styles, depending on to AssemblyAI.\nKey Attributes and Targets.\nThe SDK has been actually cultivated with many key purposes in thoughts:.\n\nProvide an user-friendly interface for all AssemblyAI styles and components utilizing idiomatic C

.Make certain compatibility along with various structures, including.NET 6.0,. NET Platform 4.6.2, and.NET Specification 2.0 as well as above.Reduce dependencies to stop model disagreements and also the demand for tiing redirects.Recording Audio Info.Some of the major capabilities of the SDK is actually audio transcription. Programmers can easily transcribe audio files asynchronously or in real-time. Below is actually an instance of just how to translate an audio data:.making use of AssemblyAI.utilizing AssemblyAI.Transcripts.var customer = new AssemblyAIClient(" YOUR_API_KEY").var transcript = 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 regional files, identical code may be utilized to obtain transcription.await utilizing var flow = 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 sustains real-time sound transcription using Streaming Speech-to-Text. This feature is actually particularly practical for treatments requiring quick processing of audio records.utilizing AssemblyAI.Realtime.await making use of var transcriber = new RealtimeTranscriber( new RealtimeTranscriberOptions.ApiKey="YOUR_API_KEY",.SampleRate = 16_000. ).transcriber.PartialTranscriptReceived.Subscribe( records =&gtConsole.WriteLine($" Limited: transcript.Text "). ).transcriber.FinalTranscriptReceived.Subscribe( records =&gtConsole.WriteLine($" Last: transcript.Text "). ).wait for transcriber.ConnectAsync().// Pseudocode for obtaining audio from a microphone as an example.GetAudio( async (chunk) =&gt wait for transcriber.SendAudioAsync( part)).await transcriber.CloseAsync().Taking Advantage Of LeMUR for LLM Applications.The SDK integrates along with LeMUR to permit programmers to create large foreign language model (LLM) applications on voice records. Right here is actually an instance:.var lemurTaskParams = new LemurTaskParams.Cue="Offer a brief conclusion of the records.",.TranscriptIds = [transcript.Id],.FinalModel = LemurModel.AnthropicClaude3 _ 5_Sonnet..var action = await client.Lemur.TaskAsync( lemurTaskParams).Console.WriteLine( response.Response).Sound Cleverness Designs.Additionally, the SDK features integrated help for audio cleverness designs, making it possible for feeling review and also other sophisticated features.var records = await client.Transcripts.TranscribeAsync( brand-new TranscriptParams.AudioUrl="https://storage.googleapis.com/aai-docs-samples/nbc.mp3",.SentimentAnalysis = true. ).foreach (var result in transcript.SentimentAnalysisResults!).Console.WriteLine( result.Text).Console.WriteLine( result.Sentiment)// FAVORABLE, NEUTRAL, or downside.Console.WriteLine( result.Confidence).Console.WriteLine($" Timestamp: result.Start - result.End ").To learn more, visit the official AssemblyAI blog.Image source: Shutterstock.

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