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AssemblyAI Unveils C#. INTERNET SDK for Advanced Audio Transcription and also Study #.\n\nLuisa Crawford.\nSep 03, 2024 05:37.\n\nAssemblyAI discharges a C#. WEB SDK, allowing developers to record and also evaluate sound, as well as apply LLMs using LeMUR.\n\n\n\n\nAssemblyAI has actually announced the release of its brand-new C#. WEB SDK, developed to help with audio transcription and analysis for programmers utilizing.NET languages such as C#, VB.NET, and also F#. The SDK targets to enhance making use of AssemblyAI's sophisticated Speech AI designs, depending on to AssemblyAI.\nSecret Attributes and also Objectives.\nThe SDK has been built along with a number of essential goals in thoughts:.\n\nDeliver an instinctive interface for all AssemblyAI designs and functions making use of colloquial C

.Make sure compatibility with a number of frameworks, including.NET 6.0,. Web Platform 4.6.2, and.NET Standard 2.0 and above.Reduce addictions to stop model disputes and the requirement for binding redirects.Recording Sound Files.One of the main performances of the SDK is actually audio transcription. Developers can transcribe audio documents asynchronously or in real-time. Below is actually an example of exactly how to transcribe an audio file:.utilizing AssemblyAI.making use of AssemblyAI.Transcripts.var client = brand 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 regional reports, similar code can be made use of to achieve transcription.wait for making use of 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 Audio Transcription.The SDK likewise reinforces real-time audio transcription making use of Streaming Speech-to-Text. This attribute is actually specifically useful for requests requiring quick handling of audio records.making use of AssemblyAI.Realtime.wait for utilizing var scribe = brand-new RealtimeTranscriber( brand new RealtimeTranscriberOptions.ApiKey="YOUR_API_KEY",.SampleRate = 16_000. ).transcriber.PartialTranscriptReceived.Subscribe( transcript =&gtConsole.WriteLine($" Partial: transcript.Text "). ).transcriber.FinalTranscriptReceived.Subscribe( records =&gtConsole.WriteLine($" Ultimate: transcript.Text "). ).wait for transcriber.ConnectAsync().// Pseudocode for receiving audio coming from a mic for example.GetAudio( async (portion) =&gt wait for transcriber.SendAudioAsync( chunk)).wait for transcriber.CloseAsync().Making Use Of LeMUR for LLM Applications.The SDK incorporates with LeMUR to make it possible for creators to construct big language design (LLM) functions on vocal data. Listed here is actually an example:.var lemurTaskParams = brand new LemurTaskParams.Motivate="Supply a quick summary of the transcript.",.TranscriptIds = [transcript.Id],.FinalModel = LemurModel.AnthropicClaude3 _ 5_Sonnet..var feedback = await client.Lemur.TaskAsync( lemurTaskParams).Console.WriteLine( response.Response).Sound Cleverness Versions.Furthermore, the SDK includes built-in help for audio intellect designs, permitting view evaluation and various other advanced features.var records = await client.Transcripts.TranscribeAsync( brand-new TranscriptParams.AudioUrl="https://storage.googleapis.com/aai-docs-samples/nbc.mp3",.SentimentAnalysis = true. ).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 learn more, explore the formal AssemblyAI blog.Image source: Shutterstock.

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