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AssemblyAI Reveals C#. INTERNET SDK for Advanced Sound Transcription as well as Evaluation #.\n\nLuisa Crawford.\nSep 03, 2024 05:37.\n\nAssemblyAI releases a C#. NET SDK, enabling developers to record and study sound, as well as apply LLMs utilizing LeMUR.\n\n\n\n\nAssemblyAI has revealed the launch of its own new C#. NET SDK, made to help with audio transcription and also evaluation for designers utilizing.NET foreign languages such as C#, VB.NET, and also F#. The SDK aims to improve making use of AssemblyAI's innovative Speech AI designs, according to AssemblyAI.\nSecret Components and also Targets.\nThe SDK has been created along with numerous vital goals in thoughts:.\n\nSupply an instinctive interface for all AssemblyAI versions and also attributes using idiomatic C

.Ensure being compatible along with numerous platforms, including.NET 6.0,. Web Framework 4.6.2, and.NET Standard 2.0 as well as above.Decrease addictions to prevent variation disagreements and the need for binding redirects.Recording Sound Record.One of the key functions of the SDK is audio transcription. Programmers may record audio reports asynchronously or in real-time. Below is actually an instance of exactly how to translate an audio report:.making use of AssemblyAI.making use of AssemblyAI.Transcripts.var client = 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 area data, identical code can be used to achieve transcription.await making use of var flow = new FileStream("./ nbc.mp3", FileMode.Open).var records = await client.Transcripts.TranscribeAsync(.flow,.brand-new TranscriptOptionalParams.LanguageCode = TranscriptLanguageCode.EnUs.).transcript.EnsureStatusCompleted().Console.WriteLine( transcript.Text).Real-Time Sound Transcription.The SDK likewise holds real-time sound transcription making use of Streaming Speech-to-Text. This function is actually specifically practical for treatments needing urgent processing of audio records.using AssemblyAI.Realtime.wait for using var scribe = brand new RealtimeTranscriber( brand-new RealtimeTranscriberOptions.ApiKey="YOUR_API_KEY",.SampleRate = 16_000. ).transcriber.PartialTranscriptReceived.Subscribe( transcript =&gtConsole.WriteLine($" Partial: transcript.Text "). ).transcriber.FinalTranscriptReceived.Subscribe( records =&gtConsole.WriteLine($" Final: transcript.Text "). ).await transcriber.ConnectAsync().// Pseudocode for obtaining sound from a mic for example.GetAudio( async (chunk) =&gt await transcriber.SendAudioAsync( piece)).wait for transcriber.CloseAsync().Utilizing LeMUR for LLM Apps.The SDK incorporates with LeMUR to allow programmers to build big language version (LLM) functions on voice data. Here is an instance:.var lemurTaskParams = brand new LemurTaskParams.Cause="Provide a brief summary of the records.",.TranscriptIds = [transcript.Id],.FinalModel = LemurModel.AnthropicClaude3 _ 5_Sonnet..var reaction = wait for client.Lemur.TaskAsync( lemurTaskParams).Console.WriteLine( response.Response).Sound Knowledge Models.Additionally, the SDK includes built-in help for audio cleverness designs, making it possible for conviction study and also other state-of-the-art attributes.var records = wait for client.Transcripts.TranscribeAsync( brand-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)// GOOD, NEUTRAL, or even NEGATIVE.Console.WriteLine( result.Confidence).Console.WriteLine($" Timestamp: result.Start - result.End ").To learn more, visit the main AssemblyAI blog.Image resource: Shutterstock.

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