AssemblyAI Introduces C#. WEB SDK for Advanced Audio Transcription and Review #.\n\nLuisa Crawford.\nSep 03, 2024 05:37.\n\nAssemblyAI launches a C#. WEB SDK, allowing designers to transcribe as well as examine audio, as well as use LLMs utilizing LeMUR.\n\n\n\n\nAssemblyAI has actually announced the release of its brand-new C#. WEB SDK, made to assist in audio transcription as well as analysis for creators utilizing.NET languages such as C#, VB.NET, and F#. The SDK strives to streamline the use of AssemblyAI's sophisticated Pep talk AI versions, depending on to AssemblyAI.\nTrick Attributes and Targets.\nThe SDK has been actually established with numerous essential purposes in mind:.\n\nDeliver an instinctive user interface for all AssemblyAI styles as well as components utilizing colloquial C

.Ensure compatibility with numerous structures, including.NET 6.0,. Web Framework 4.6.2, and.NET Standard 2.0 and above.Minimize dependences to avoid variation problems and also the need for tiing redirects.Transcribing Sound Information.One of the primary functions of the SDK is audio transcription. Programmers may translate audio reports asynchronously or in real-time. Below is actually an example of how to translate an audio data:.using AssemblyAI.utilizing AssemblyAI.Transcripts.var customer = brand-new AssemblyAIClient(" YOUR_API_KEY").var records = 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 files, comparable code can be used to obtain transcription.wait for utilizing var flow = brand new FileStream("./ nbc.mp3", FileMode.Open).var records = await client.Transcripts.TranscribeAsync(.stream,.brand new TranscriptOptionalParams.LanguageCode = TranscriptLanguageCode.EnUs.).transcript.EnsureStatusCompleted().Console.WriteLine( transcript.Text).Real-Time Sound Transcription.The SDK likewise sustains real-time sound transcription using Streaming Speech-to-Text. This function is actually especially useful for applications calling for instant handling of audio records.using AssemblyAI.Realtime.await utilizing var transcriber = brand new RealtimeTranscriber( new RealtimeTranscriberOptions.ApiKey="YOUR_API_KEY",.SampleRate = 16_000. ).transcriber.PartialTranscriptReceived.Subscribe( transcript =&gtConsole.WriteLine($" Partial: transcript.Text "). ).transcriber.FinalTranscriptReceived.Subscribe( records =&gtConsole.WriteLine($" Last: transcript.Text "). ).wait for transcriber.ConnectAsync().// Pseudocode for getting audio from a mic for example.GetAudio( async (chunk) =&gt wait for transcriber.SendAudioAsync( piece)).wait for transcriber.CloseAsync().Utilizing LeMUR for LLM Functions.The SDK incorporates along with LeMUR to enable designers to construct big language version (LLM) applications on voice information. Listed below is actually an example:.var lemurTaskParams = brand-new LemurTaskParams.Urge="Provide a brief summary of the records.",.TranscriptIds = [transcript.Id],.FinalModel = LemurModel.AnthropicClaude3 _ 5_Sonnet..var reaction = await client.Lemur.TaskAsync( lemurTaskParams).Console.WriteLine( response.Response).Sound Intelligence Designs.Furthermore, the SDK features integrated assistance for audio intellect versions, permitting belief evaluation and other state-of-the-art components.var transcript = wait for client.Transcripts.TranscribeAsync( brand 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)// GOOD, NEUTRAL, or NEGATIVE.Console.WriteLine( result.Confidence).Console.WriteLine($" Timestamp: result.Start - result.End ").To find out more, visit the main AssemblyAI blog.Image resource: Shutterstock.