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AssemblyAI Reveals C#. NET SDK for Advanced Audio Transcription as well as Evaluation #.\n\nLuisa Crawford.\nSep 03, 2024 05:37.\n\nAssemblyAI launches a C#. INTERNET SDK, making it possible for creators to translate as well as examine audio, and use LLMs using LeMUR.\n\n\n\n\nAssemblyAI has declared the launch of its new C#. WEB SDK, developed to assist in audio transcription and also evaluation for creators utilizing.NET foreign languages including C#, VB.NET, and also F#. The SDK aims to simplify making use of AssemblyAI's state-of-the-art Speech AI versions, according to AssemblyAI.\nSecret Attributes as well as Goals.\nThe SDK has been developed along with several essential goals in mind:.\n\nProvide an intuitive user interface for all AssemblyAI models as well as features utilizing colloquial C

.Guarantee compatibility with multiple structures, including.NET 6.0,. Internet Platform 4.6.2, and.NET Criterion 2.0 as well as above.Lessen dependencies to stop model disputes as well as the necessity for tiing redirects.Transcribing Sound Files.One of the major performances of the SDK is audio transcription. Developers may record audio files asynchronously or even in real-time. Below is an instance of exactly how to record an audio documents:.making use of AssemblyAI.making use of AssemblyAI.Transcripts.var client = new AssemblyAIClient(" YOUR_API_KEY").var transcript = 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 data, similar code could be utilized to accomplish transcription.wait for utilizing var stream = new FileStream("./ nbc.mp3", FileMode.Open).var records = wait for client.Transcripts.TranscribeAsync(.stream,.new TranscriptOptionalParams.LanguageCode = TranscriptLanguageCode.EnUs.).transcript.EnsureStatusCompleted().Console.WriteLine( transcript.Text).Real-Time Sound Transcription.The SDK additionally reinforces real-time sound transcription utilizing Streaming Speech-to-Text. This function is actually especially beneficial for applications demanding instant processing of audio information.using AssemblyAI.Realtime.wait for using var scribe = 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 obtaining audio from a microphone for example.GetAudio( async (part) =&gt await transcriber.SendAudioAsync( chunk)).wait for transcriber.CloseAsync().Using LeMUR for LLM Apps.The SDK combines along with LeMUR to permit designers to build big foreign language model (LLM) functions on vocal data. Below is actually an example:.var lemurTaskParams = brand-new LemurTaskParams.Cue="Supply a brief review of the records.",.TranscriptIds = [transcript.Id],.FinalModel = LemurModel.AnthropicClaude3 _ 5_Sonnet..var feedback = await client.Lemur.TaskAsync( lemurTaskParams).Console.WriteLine( response.Response).Sound Cleverness Models.In addition, the SDK comes with integrated support for audio intelligence styles, making it possible for feeling study as well as various other enhanced functions.var transcript = wait for client.Transcripts.TranscribeAsync( brand new TranscriptParams.AudioUrl="https://storage.googleapis.com/aai-docs-samples/nbc.mp3",.SentimentAnalysis = accurate. ).foreach (var cause transcript.SentimentAnalysisResults!).Console.WriteLine( result.Text).Console.WriteLine( result.Sentiment)// POSITIVE, NEUTRAL, or even NEGATIVE.Console.WriteLine( result.Confidence).Console.WriteLine($" Timestamp: result.Start - result.End ").For more details, see the official AssemblyAI blog.Image resource: Shutterstock.

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