AssemblyAI Introduces C#. NET SDK for Advanced Audio Transcription as well as Analysis #.\n\nLuisa Crawford.\nSep 03, 2024 05:37.\n\nAssemblyAI launches a C#. WEB SDK, allowing developers to transcribe and examine audio, as well as administer LLMs using LeMUR.\n\n\n\n\nAssemblyAI has revealed the launch of its own brand-new C#. INTERNET SDK, made to facilitate audio transcription and also evaluation for creators utilizing.NET languages such as C#, VB.NET, and also F#. The SDK aims to simplify the use of AssemblyAI's advanced Speech AI versions, according to AssemblyAI.\nKey Functions and also Targets.\nThe SDK has actually been cultivated along with several key goals in thoughts:.\n\nOffer an instinctive user interface for all AssemblyAI versions as well as features making use of idiomatic C

.Make certain compatibility with several frameworks, including.NET 6.0,. Web Platform 4.6.2, and.NET Criterion 2.0 and also above.Minimize addictions to prevent model disagreements and also the demand for binding redirects.Translating Sound Information.Some of the major performances of the SDK is audio transcription. Developers can easily translate audio reports asynchronously or in real-time. Below is an example of just how to translate an audio data:.using AssemblyAI.utilizing AssemblyAI.Transcripts.var customer = new AssemblyAIClient(" YOUR_API_KEY").var transcript = await client.Transcripts.TranscribeAsync( new TranscriptParams.AudioUrl="https://storage.googleapis.com/aai-docs-samples/nbc.mp3". ).transcript.EnsureStatusCompleted().Console.WriteLine( transcript.Text).For nearby reports, identical code may be made use of to achieve transcription.wait for making use of var flow = 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 Audio Transcription.The SDK also sustains real-time sound transcription making use of Streaming Speech-to-Text. This feature is especially practical for applications requiring prompt handling of audio information.making use of AssemblyAI.Realtime.await making use of var transcriber = brand new RealtimeTranscriber( brand new RealtimeTranscriberOptions.ApiKey="YOUR_API_KEY",.SampleRate = 16_000. ).transcriber.PartialTranscriptReceived.Subscribe( transcript =&gtConsole.WriteLine($" Limited: transcript.Text "). ).transcriber.FinalTranscriptReceived.Subscribe( transcript =&gtConsole.WriteLine($" Ultimate: transcript.Text "). ).await transcriber.ConnectAsync().// Pseudocode for obtaining audio coming from a microphone for example.GetAudio( async (piece) =&gt await transcriber.SendAudioAsync( part)).wait for transcriber.CloseAsync().Making Use Of LeMUR for LLM Functions.The SDK integrates along with LeMUR to allow creators to construct big language version (LLM) functions on vocal data. Here is an instance:.var lemurTaskParams = brand-new LemurTaskParams.Trigger="Give a quick review of the transcript.",.TranscriptIds = [transcript.Id],.FinalModel = LemurModel.AnthropicClaude3 _ 5_Sonnet..var feedback = wait for client.Lemur.TaskAsync( lemurTaskParams).Console.WriteLine( response.Response).Audio Intellect Designs.Additionally, the SDK features built-in support for audio intellect versions, enabling sentiment analysis and various other enhanced features.var transcript = wait for client.Transcripts.TranscribeAsync( brand new TranscriptParams.AudioUrl="https://storage.googleapis.com/aai-docs-samples/nbc.mp3",.SentimentAnalysis = accurate. ).foreach (var result in 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 ").To find out more, explore the main AssemblyAI blog.Image resource: Shutterstock.