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AssemblyAI Introduces C#. NET SDK for Advanced Sound Transcription and also Evaluation #.\n\nLuisa Crawford.\nSep 03, 2024 05:37.\n\nAssemblyAI releases a C#. WEB SDK, permitting developers to translate as well as analyze audio, and also administer LLMs using LeMUR.\n\n\n\n\nAssemblyAI has declared the release of its own brand new C#. INTERNET SDK, designed to assist in audio transcription and also evaluation for developers utilizing.NET languages including C#, VB.NET, and also F#. The SDK aims to enhance the use of AssemblyAI's advanced Speech AI versions, according to AssemblyAI.\nTrick Attributes and also Goals.\nThe SDK has actually been actually cultivated with numerous crucial purposes in thoughts:.\n\nOffer an instinctive user interface for all AssemblyAI versions and also attributes using colloquial C

.Make sure being compatible with various frameworks, including.NET 6.0,. Web Platform 4.6.2, and.NET Requirement 2.0 as well as above.Lessen addictions to prevent version problems and the need for binding redirects.Recording Sound Info.One of the major functions of the SDK is actually audio transcription. Creators can transcribe audio reports asynchronously or in real-time. Below is actually an example of how to translate an audio data:.using AssemblyAI.making use of AssemblyAI.Transcripts.var customer = 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 neighborhood reports, comparable code could be utilized to accomplish transcription.await 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 supports real-time audio transcription utilizing Streaming Speech-to-Text. This component is actually particularly helpful for applications needing immediate processing of audio records.utilizing 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($" Partial: transcript.Text "). ).transcriber.FinalTranscriptReceived.Subscribe( records =&gtConsole.WriteLine($" Last: transcript.Text "). ).wait for transcriber.ConnectAsync().// Pseudocode for receiving audio coming from a mic for instance.GetAudio( async (part) =&gt await transcriber.SendAudioAsync( piece)).await transcriber.CloseAsync().Utilizing LeMUR for LLM Functions.The SDK integrates along with LeMUR to enable developers to build sizable foreign language version (LLM) applications on voice records. Below is an example:.var lemurTaskParams = new LemurTaskParams.Motivate="Deliver a short conclusion of the transcript.",.TranscriptIds = [transcript.Id],.FinalModel = LemurModel.AnthropicClaude3 _ 5_Sonnet..var feedback = wait for client.Lemur.TaskAsync( lemurTaskParams).Console.WriteLine( response.Response).Sound Intellect Versions.Also, the SDK includes integrated support for audio intelligence styles, enabling view evaluation as well as various other advanced attributes.var records = await client.Transcripts.TranscribeAsync( new TranscriptParams.AudioUrl="https://storage.googleapis.com/aai-docs-samples/nbc.mp3",.SentimentAnalysis = correct. ).foreach (var result in transcript.SentimentAnalysisResults!).Console.WriteLine( result.Text).Console.WriteLine( result.Sentiment)// POSITIVE, NEUTRAL, or even downside.Console.WriteLine( result.Confidence).Console.WriteLine($" Timestamp: result.Start - result.End ").For additional information, go to the official AssemblyAI blog.Image resource: Shutterstock.

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