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AssemblyAI Unveils C#. INTERNET SDK for Advanced Sound Transcription and Study #.\n\nLuisa Crawford.\nSep 03, 2024 05:37.\n\nAssemblyAI releases a C#. WEB SDK, enabling developers to translate and also study audio, as well as administer LLMs utilizing LeMUR.\n\n\n\n\nAssemblyAI has revealed the release of its own brand-new C#. NET SDK, developed to promote audio transcription and also analysis for programmers utilizing.NET foreign languages including C#, VB.NET, and F#. The SDK targets to enhance the use of AssemblyAI's state-of-the-art Speech AI designs, according to AssemblyAI.\nKey Attributes and also Objectives.\nThe SDK has actually been developed with many essential purposes in thoughts:.\n\nOffer an user-friendly user interface for all AssemblyAI designs and also components making use of idiomatic C

.Make sure compatibility along with several platforms, including.NET 6.0,. Web Structure 4.6.2, and.NET Criterion 2.0 and also above.Reduce dependencies to prevent version problems and also the requirement for tiing redirects.Transcribing Audio Data.Some of the main capabilities of the SDK is audio transcription. Designers may record audio data asynchronously or in real-time. Below is an example of exactly how to transcribe an audio file:.utilizing AssemblyAI.making use of 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 local data, similar code may be used to accomplish transcription.await making use of var stream = 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 likewise holds real-time audio transcription using Streaming Speech-to-Text. This function is actually specifically helpful for requests calling for quick handling of audio information.utilizing 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 obtaining sound coming from a mic for instance.GetAudio( async (chunk) =&gt wait for transcriber.SendAudioAsync( piece)).await transcriber.CloseAsync().Utilizing LeMUR for LLM Applications.The SDK combines with LeMUR to allow designers to create large language model (LLM) applications on voice records. Listed here is an example:.var lemurTaskParams = brand-new LemurTaskParams.Prompt="Supply a quick summary of the transcript.",.TranscriptIds = [transcript.Id],.FinalModel = LemurModel.AnthropicClaude3 _ 5_Sonnet..var response = await client.Lemur.TaskAsync( lemurTaskParams).Console.WriteLine( response.Response).Sound Intelligence Models.Furthermore, the SDK features built-in assistance for audio cleverness styles, enabling conviction evaluation as well as various other state-of-the-art functions.var transcript = wait for client.Transcripts.TranscribeAsync( brand new TranscriptParams.AudioUrl="https://storage.googleapis.com/aai-docs-samples/nbc.mp3",.SentimentAnalysis = true. ).foreach (var lead to transcript.SentimentAnalysisResults!).Console.WriteLine( result.Text).Console.WriteLine( result.Sentiment)// POSITIVE, NEUTRAL, or downside.Console.WriteLine( result.Confidence).Console.WriteLine($" Timestamp: result.Start - result.End ").For more details, explore the formal AssemblyAI blog.Image source: Shutterstock.

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