AssemblyAI Introduces C#. WEB SDK for Advanced Sound Transcription and also Analysis #.\n\nLuisa Crawford.\nSep 03, 2024 05:37.\n\nAssemblyAI discharges a C#. WEB SDK, allowing designers to record as well as analyze audio, as well as apply LLMs making use of LeMUR.\n\n\n\n\nAssemblyAI has actually declared the launch of its own brand new C#. WEB SDK, designed to promote audio transcription as well as analysis for creators utilizing.NET foreign languages including C#, VB.NET, and F#. The SDK strives to simplify the use of AssemblyAI's advanced Speech AI versions, according to AssemblyAI.\nKey Attributes as well as Targets.\nThe SDK has actually been built along with a number of vital goals in mind:.\n\nGive an user-friendly user interface for all AssemblyAI designs and functions utilizing idiomatic C

.Make certain compatibility with numerous platforms, including.NET 6.0,. NET Platform 4.6.2, and.NET Criterion 2.0 as well as above.Lessen addictions to stop version problems and the necessity for binding redirects.Translating Sound Data.One of the major capabilities of the SDK is audio transcription. Creators can translate audio documents asynchronously or in real-time. Below is an instance of exactly how to transcribe an audio file:.making use of AssemblyAI.making use of AssemblyAI.Transcripts.var customer = brand 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 data, comparable code could be utilized to obtain transcription.await making use of var flow = new FileStream("./ nbc.mp3", FileMode.Open).var transcript = wait for client.Transcripts.TranscribeAsync(.flow,.brand-new TranscriptOptionalParams.LanguageCode = TranscriptLanguageCode.EnUs.).transcript.EnsureStatusCompleted().Console.WriteLine( transcript.Text).Real-Time Audio Transcription.The SDK likewise sustains real-time audio transcription making use of Streaming Speech-to-Text. This component is actually especially useful for requests requiring instant processing of audio information.using AssemblyAI.Realtime.wait for making use of var transcriber = brand-new RealtimeTranscriber( brand-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 "). ).await transcriber.ConnectAsync().// Pseudocode for acquiring sound from a mic for example.GetAudio( async (chunk) =&gt wait for transcriber.SendAudioAsync( chunk)).wait for transcriber.CloseAsync().Utilizing LeMUR for LLM Functions.The SDK includes along with LeMUR to permit designers to create big language version (LLM) functions on vocal records. Here is an example:.var lemurTaskParams = brand new LemurTaskParams.Cause="Supply a quick summary of the records.",.TranscriptIds = [transcript.Id],.FinalModel = LemurModel.AnthropicClaude3 _ 5_Sonnet..var response = await client.Lemur.TaskAsync( lemurTaskParams).Console.WriteLine( response.Response).Audio Cleverness Styles.Also, the SDK comes with integrated assistance for audio cleverness styles, making it possible for view analysis as well as other advanced components.var transcript = wait for client.Transcripts.TranscribeAsync( new TranscriptParams.AudioUrl="https://storage.googleapis.com/aai-docs-samples/nbc.mp3",.SentimentAnalysis = real. ).foreach (var result in transcript.SentimentAnalysisResults!).Console.WriteLine( result.Text).Console.WriteLine( result.Sentiment)// FAVORABLE, NEUTRAL, or NEGATIVE.Console.WriteLine( result.Confidence).Console.WriteLine($" Timestamp: result.Start - result.End ").For more information, explore the formal AssemblyAI blog.Image source: Shutterstock.