AssemblyAI Unveils C#. WEB SDK for Advanced Audio Transcription as well as Analysis #.\n\nLuisa Crawford.\nSep 03, 2024 05:37.\n\nAssemblyAI releases a C#. NET SDK, enabling designers to record as well as assess sound, as well as apply LLMs using LeMUR.\n\n\n\n\nAssemblyAI has actually announced the release of its brand-new C#. NET SDK, made to help with audio transcription and also analysis for creators utilizing.NET languages such as C#, VB.NET, and F#. The SDK aims to improve making use of AssemblyAI's innovative Speech AI models, according to AssemblyAI.\nKey Attributes and also Goals.\nThe SDK has been actually created with numerous crucial objectives in mind:.\n\nOffer an intuitive interface for all AssemblyAI designs and also features making use of colloquial C

.Make certain compatibility with various structures, including.NET 6.0,. Web Platform 4.6.2, and.NET Requirement 2.0 and also above.Lessen dependencies to prevent model problems and the requirement for binding redirects.Translating Sound Files.One of the key functions of the SDK is actually audio transcription. Programmers may record audio documents asynchronously or in real-time. Below is actually an instance of how to transcribe an audio report:.using AssemblyAI.utilizing AssemblyAI.Transcripts.var customer = brand-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 reports, similar code could be made use of to accomplish transcription.wait for 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 additionally sustains real-time audio transcription making use of Streaming Speech-to-Text. This attribute is actually specifically valuable for uses calling for instant processing of audio data.utilizing AssemblyAI.Realtime.await using var scribe = brand new RealtimeTranscriber( brand new RealtimeTranscriberOptions.ApiKey="YOUR_API_KEY",.SampleRate = 16_000. ).transcriber.PartialTranscriptReceived.Subscribe( transcript =&gtConsole.WriteLine($" Limited: transcript.Text "). ).transcriber.FinalTranscriptReceived.Subscribe( records =&gtConsole.WriteLine($" Last: transcript.Text "). ).wait for transcriber.ConnectAsync().// Pseudocode for acquiring audio coming from a microphone as an example.GetAudio( async (part) =&gt wait for transcriber.SendAudioAsync( piece)).await transcriber.CloseAsync().Utilizing LeMUR for LLM Apps.The SDK integrates with LeMUR to make it possible for developers to construct sizable foreign language design (LLM) apps on voice information. Below is an instance:.var lemurTaskParams = brand new LemurTaskParams.Motivate="Provide a quick review of the records.",.TranscriptIds = [transcript.Id],.FinalModel = LemurModel.AnthropicClaude3 _ 5_Sonnet..var response = await client.Lemur.TaskAsync( lemurTaskParams).Console.WriteLine( response.Response).Sound Intellect Designs.Also, the SDK includes built-in support for audio intelligence styles, allowing conviction analysis as well as other innovative attributes.var records = await client.Transcripts.TranscribeAsync( brand 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)// POSITIVE, NEUTRAL, or even NEGATIVE.Console.WriteLine( result.Confidence).Console.WriteLine($" Timestamp: result.Start - result.End ").For more details, visit the main AssemblyAI blog.Image source: Shutterstock.