AssemblyAI Unveils C#. NET SDK for Advanced Audio Transcription as well as Analysis #.\n\nLuisa Crawford.\nSep 03, 2024 05:37.\n\nAssemblyAI releases a C#. WEB SDK, making it possible for developers to record and study audio, as well as administer LLMs making use of LeMUR.\n\n\n\n\nAssemblyAI has actually announced the release of its own brand new C#. NET SDK, developed to assist in audio transcription as well as evaluation for creators utilizing.NET foreign languages such as C#, VB.NET, and also F#. The SDK aims to improve making use of AssemblyAI's state-of-the-art Speech AI designs, according to AssemblyAI.\nSecret Components and also Targets.\nThe SDK has been actually developed along with several crucial purposes in mind:.\n\nProvide an intuitive user interface for all AssemblyAI styles as well as attributes making use of idiomatic C

.Guarantee being compatible along with multiple platforms, including.NET 6.0,. NET Framework 4.6.2, and.NET Standard 2.0 as well as above.Decrease reliances to stop version disputes as well as the necessity for tiing redirects.Recording Audio Files.One of the main functionalities of the SDK is actually audio transcription. Programmers can translate audio files asynchronously or in real-time. Below is an example of just how to record an audio documents:.utilizing AssemblyAI.utilizing AssemblyAI.Transcripts.var customer = brand-new AssemblyAIClient(" YOUR_API_KEY").var records = wait for client.Transcripts.TranscribeAsync( brand-new TranscriptParams.AudioUrl="https://storage.googleapis.com/aai-docs-samples/nbc.mp3". ).transcript.EnsureStatusCompleted().Console.WriteLine( transcript.Text).For local files, identical code may be made use of to accomplish transcription.wait for utilizing var flow = brand new FileStream("./ nbc.mp3", FileMode.Open).var transcript = await client.Transcripts.TranscribeAsync(.stream,.brand new TranscriptOptionalParams.LanguageCode = TranscriptLanguageCode.EnUs.).transcript.EnsureStatusCompleted().Console.WriteLine( transcript.Text).Real-Time Sound Transcription.The SDK also reinforces real-time audio transcription utilizing Streaming Speech-to-Text. This attribute is actually especially helpful for applications requiring quick handling of audio records.using AssemblyAI.Realtime.await making use of var transcriber = brand new RealtimeTranscriber( 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 "). ).await transcriber.ConnectAsync().// Pseudocode for getting audio coming from a microphone for instance.GetAudio( async (part) =&gt wait for transcriber.SendAudioAsync( chunk)).await transcriber.CloseAsync().Making Use Of LeMUR for LLM Functions.The SDK includes along with LeMUR to allow designers to develop big language version (LLM) applications on voice data. Here is an instance:.var lemurTaskParams = brand-new LemurTaskParams.Trigger="Give a brief rundown of the records.",.TranscriptIds = [transcript.Id],.FinalModel = LemurModel.AnthropicClaude3 _ 5_Sonnet..var feedback = wait for client.Lemur.TaskAsync( lemurTaskParams).Console.WriteLine( response.Response).Audio Intelligence Versions.Additionally, the SDK includes integrated help for audio intelligence styles, making it possible for sentiment analysis and also various other sophisticated features.var records = 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)// BENEFICIAL, NEUTRAL, or even downside.Console.WriteLine( result.Confidence).Console.WriteLine($" Timestamp: result.Start - result.End ").For additional information, go to the formal AssemblyAI blog.Image source: Shutterstock.