AssemblyAI Reveals C#. WEB SDK for Advanced Audio Transcription as well as Review #.\n\nLuisa Crawford.\nSep 03, 2024 05:37.\n\nAssemblyAI discharges a C#. NET SDK, enabling creators to transcribe as well as assess audio, and use LLMs making use of LeMUR.\n\n\n\n\nAssemblyAI has actually declared the launch of its own new C#. WEB SDK, developed to assist in audio transcription and also evaluation for developers utilizing.NET languages like C#, VB.NET, and F#. The SDK targets to simplify the use of AssemblyAI's state-of-the-art Speech AI versions, depending on to AssemblyAI.\nKey Attributes and Targets.\nThe SDK has actually been actually created along with several crucial goals in thoughts:.\n\nGive an intuitive interface for all AssemblyAI models and attributes using idiomatic C

.Guarantee being compatible along with numerous structures, including.NET 6.0,. NET Structure 4.6.2, and.NET Standard 2.0 as well as above.Reduce dependencies to avoid variation disagreements as well as the necessity for tiing redirects.Translating Audio Files.Among the key performances of the SDK is actually audio transcription. Developers can record audio documents asynchronously or in real-time. Below is an instance of just how to transcribe an audio data:.making use of 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 local area data, similar code may be used to accomplish transcription.await using var stream = brand-new FileStream("./ nbc.mp3", FileMode.Open).var transcript = wait for client.Transcripts.TranscribeAsync(.stream,.brand-new TranscriptOptionalParams.LanguageCode = TranscriptLanguageCode.EnUs.).transcript.EnsureStatusCompleted().Console.WriteLine( transcript.Text).Real-Time Sound Transcription.The SDK also holds real-time audio transcription utilizing Streaming Speech-to-Text. This function is actually especially useful for applications calling for urgent handling of audio data.making use of AssemblyAI.Realtime.await using var transcriber = new RealtimeTranscriber( brand-new RealtimeTranscriberOptions.ApiKey="YOUR_API_KEY",.SampleRate = 16_000. ).transcriber.PartialTranscriptReceived.Subscribe( transcript =&gtConsole.WriteLine($" Partial: transcript.Text "). ).transcriber.FinalTranscriptReceived.Subscribe( records =&gtConsole.WriteLine($" Ultimate: transcript.Text "). ).await transcriber.ConnectAsync().// Pseudocode for receiving audio from a mic as an example.GetAudio( async (piece) =&gt await transcriber.SendAudioAsync( chunk)).wait for transcriber.CloseAsync().Taking Advantage Of LeMUR for LLM Applications.The SDK combines along with LeMUR to make it possible for creators to develop big language version (LLM) functions on vocal records. Listed here is an instance:.var lemurTaskParams = brand new LemurTaskParams.Cause="Offer a short review of the transcript.",.TranscriptIds = [transcript.Id],.FinalModel = LemurModel.AnthropicClaude3 _ 5_Sonnet..var response = await client.Lemur.TaskAsync( lemurTaskParams).Console.WriteLine( response.Response).Sound Knowledge Versions.Also, the SDK includes integrated support for audio knowledge versions, allowing belief review and other innovative features.var records = await client.Transcripts.TranscribeAsync( brand-new TranscriptParams.AudioUrl="https://storage.googleapis.com/aai-docs-samples/nbc.mp3",.SentimentAnalysis = true. ).foreach (var cause transcript.SentimentAnalysisResults!).Console.WriteLine( result.Text).Console.WriteLine( result.Sentiment)// BENEFICIAL, NEUTRAL, or even NEGATIVE.Console.WriteLine( result.Confidence).Console.WriteLine($" Timestamp: result.Start - result.End ").For additional information, visit the formal AssemblyAI blog.Image source: Shutterstock.