AssemblyAI Introduces C#. WEB SDK for Advanced Sound Transcription and Evaluation #.\n\nLuisa Crawford.\nSep 03, 2024 05:37.\n\nAssemblyAI releases a C#. WEB SDK, permitting developers to translate as well as study audio, and administer LLMs utilizing LeMUR.\n\n\n\n\nAssemblyAI has declared the launch of its own brand-new C#. NET SDK, designed to assist in audio transcription and analysis for programmers utilizing.NET foreign languages like C#, VB.NET, as well as F#. The SDK intends to streamline making use of AssemblyAI's innovative Speech AI models, according to AssemblyAI.\nKey Functions and also Objectives.\nThe SDK has actually been established along with numerous vital objectives in mind:.\n\nSupply an intuitive interface for all AssemblyAI styles and also features utilizing idiomatic C

.Ensure being compatible with several structures, including.NET 6.0,. NET Structure 4.6.2, and.NET Specification 2.0 as well as above.Decrease reliances to stop variation conflicts and also the requirement for tiing redirects.Translating Audio Record.Among the key capabilities of the SDK is audio transcription. Developers can easily record audio files asynchronously or even in real-time. Below is actually an instance of how to transcribe an audio data:.making use of AssemblyAI.using AssemblyAI.Transcripts.var customer = new AssemblyAIClient(" YOUR_API_KEY").var records = await client.Transcripts.TranscribeAsync( brand-new TranscriptParams.AudioUrl="https://storage.googleapis.com/aai-docs-samples/nbc.mp3". ).transcript.EnsureStatusCompleted().Console.WriteLine( transcript.Text).For local area data, similar code can be utilized to achieve transcription.await making use of var flow = brand new FileStream("./ nbc.mp3", FileMode.Open).var records = await client.Transcripts.TranscribeAsync(.flow,.new TranscriptOptionalParams.LanguageCode = TranscriptLanguageCode.EnUs.).transcript.EnsureStatusCompleted().Console.WriteLine( transcript.Text).Real-Time Sound Transcription.The SDK also holds real-time audio transcription making use of Streaming Speech-to-Text. This feature is specifically useful for requests demanding urgent processing of audio data.using AssemblyAI.Realtime.wait for utilizing var transcriber = brand-new RealtimeTranscriber( brand-new RealtimeTranscriberOptions.ApiKey="YOUR_API_KEY",.SampleRate = 16_000. ).transcriber.PartialTranscriptReceived.Subscribe( records =&gtConsole.WriteLine($" Limited: transcript.Text "). ).transcriber.FinalTranscriptReceived.Subscribe( transcript =&gtConsole.WriteLine($" Ultimate: transcript.Text "). ).wait for transcriber.ConnectAsync().// Pseudocode for acquiring audio from a mic for example.GetAudio( async (piece) =&gt wait for transcriber.SendAudioAsync( part)).wait for transcriber.CloseAsync().Making Use Of LeMUR for LLM Applications.The SDK combines with LeMUR to allow programmers to construct huge foreign language style (LLM) apps on voice records. Listed here is an instance:.var lemurTaskParams = brand-new LemurTaskParams.Urge="Give a brief review of the transcript.",.TranscriptIds = [transcript.Id],.FinalModel = LemurModel.AnthropicClaude3 _ 5_Sonnet..var action = await client.Lemur.TaskAsync( lemurTaskParams).Console.WriteLine( response.Response).Audio Intelligence Designs.In addition, the SDK possesses built-in assistance for audio intellect models, making it possible for view review as well as various other innovative components.var records = 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 ").To find out more, check out the formal AssemblyAI blog.Image source: Shutterstock.