AssemblyAI Reveals C#. NET SDK for Advanced Sound Transcription and Study #.\n\nLuisa Crawford.\nSep 03, 2024 05:37.\n\nAssemblyAI discharges a C#. WEB SDK, permitting developers to translate and study sound, as well as administer LLMs utilizing LeMUR.\n\n\n\n\nAssemblyAI has actually introduced the release of its own brand-new C#. WEB SDK, created to help with audio transcription as well as evaluation for programmers utilizing.NET languages including C#, VB.NET, and F#. The SDK strives to streamline the use of AssemblyAI's innovative Pep talk AI models, according to AssemblyAI.\nTrick Attributes as well as Targets.\nThe SDK has actually been cultivated with many vital goals in mind:.\n\nSupply an instinctive interface for all AssemblyAI designs and also attributes using idiomatic C

.Ensure compatibility along with various frameworks, including.NET 6.0,. Web Platform 4.6.2, and.NET Specification 2.0 and also above.Reduce addictions to avoid variation disagreements as well as the necessity for tiing redirects.Recording Sound Info.Among the key performances of the SDK is actually audio transcription. Programmers may transcribe audio reports asynchronously or in real-time. Below is an instance of exactly how to transcribe an audio documents:.making use of AssemblyAI.utilizing AssemblyAI.Transcripts.var customer = new AssemblyAIClient(" YOUR_API_KEY").var transcript = await 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 achieve transcription.await using var stream = 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 holds real-time sound transcription utilizing Streaming Speech-to-Text. This attribute is particularly useful for treatments needing quick handling of audio records.utilizing AssemblyAI.Realtime.wait for making use of var scribe = brand new RealtimeTranscriber( brand new RealtimeTranscriberOptions.ApiKey="YOUR_API_KEY",.SampleRate = 16_000. ).transcriber.PartialTranscriptReceived.Subscribe( records =&gtConsole.WriteLine($" Limited: transcript.Text "). ).transcriber.FinalTranscriptReceived.Subscribe( transcript =&gtConsole.WriteLine($" Last: transcript.Text "). ).wait for transcriber.ConnectAsync().// Pseudocode for acquiring audio from a microphone for example.GetAudio( async (piece) =&gt await transcriber.SendAudioAsync( part)).await transcriber.CloseAsync().Making Use Of LeMUR for LLM Apps.The SDK includes along with LeMUR to permit designers to construct sizable language model (LLM) functions on vocal records. Listed here is actually an example:.var lemurTaskParams = new LemurTaskParams.Motivate="Offer a brief conclusion of the records.",.TranscriptIds = [transcript.Id],.FinalModel = LemurModel.AnthropicClaude3 _ 5_Sonnet..var feedback = wait for client.Lemur.TaskAsync( lemurTaskParams).Console.WriteLine( response.Response).Audio Knowledge Designs.Furthermore, the SDK comes with built-in help for audio cleverness designs, allowing conviction study as well as various other advanced components.var records = wait for client.Transcripts.TranscribeAsync( new TranscriptParams.AudioUrl="https://storage.googleapis.com/aai-docs-samples/nbc.mp3",.SentimentAnalysis = accurate. ).foreach (var lead to transcript.SentimentAnalysisResults!).Console.WriteLine( result.Text).Console.WriteLine( result.Sentiment)// GOOD, NEUTRAL, or downside.Console.WriteLine( result.Confidence).Console.WriteLine($" Timestamp: result.Start - result.End ").For additional information, see the main AssemblyAI blog.Image resource: Shutterstock.