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AssemblyAI Introduces C#. NET SDK for Advanced Audio Transcription and also Analysis #.\n\nLuisa Crawford.\nSep 03, 2024 05:37.\n\nAssemblyAI releases a C#. WEB SDK, permitting developers to record as well as examine audio, as well as use LLMs utilizing LeMUR.\n\n\n\n\nAssemblyAI has revealed the launch of its new C#. WEB SDK, developed to help with audio transcription as well as analysis for developers utilizing.NET languages like C#, VB.NET, and also F#. The SDK strives to streamline using AssemblyAI's innovative Speech AI versions, depending on to AssemblyAI.\nKey Components as well as Targets.\nThe SDK has actually been created along with many key purposes in thoughts:.\n\nOffer an user-friendly interface for all AssemblyAI versions and attributes utilizing idiomatic C

.Guarantee being compatible along with various structures, including.NET 6.0,. NET Framework 4.6.2, and.NET Criterion 2.0 and above.Lessen reliances to stop variation conflicts and also the requirement for binding redirects.Transcribing Sound Info.Some of the main performances of the SDK is actually audio transcription. Developers can easily translate audio reports asynchronously or in real-time. Below is an example of just how to record an audio report:.using AssemblyAI.making use of AssemblyAI.Transcripts.var customer = new AssemblyAIClient(" YOUR_API_KEY").var transcript = wait for client.Transcripts.TranscribeAsync( new TranscriptParams.AudioUrl="https://storage.googleapis.com/aai-docs-samples/nbc.mp3". ).transcript.EnsureStatusCompleted().Console.WriteLine( transcript.Text).For neighborhood files, comparable code may be made use of to obtain transcription.wait for utilizing var stream = 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 additionally sustains real-time sound transcription using Streaming Speech-to-Text. This feature is actually particularly helpful for treatments requiring quick processing of audio data.making use of 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($" Partial: transcript.Text "). ).transcriber.FinalTranscriptReceived.Subscribe( records =&gtConsole.WriteLine($" Ultimate: transcript.Text "). ).wait for transcriber.ConnectAsync().// Pseudocode for getting audio from a microphone for example.GetAudio( async (piece) =&gt await transcriber.SendAudioAsync( chunk)).await transcriber.CloseAsync().Using LeMUR for LLM Functions.The SDK incorporates along with LeMUR to permit creators to construct large foreign language style (LLM) applications on voice information. Listed below is an example:.var lemurTaskParams = new LemurTaskParams.Cause="Deliver a short review of the records.",.TranscriptIds = [transcript.Id],.FinalModel = LemurModel.AnthropicClaude3 _ 5_Sonnet..var feedback = wait for client.Lemur.TaskAsync( lemurTaskParams).Console.WriteLine( response.Response).Sound Intellect Styles.In addition, the SDK features built-in help for audio cleverness designs, allowing view study and various other advanced features.var transcript = wait for client.Transcripts.TranscribeAsync( brand-new TranscriptParams.AudioUrl="https://storage.googleapis.com/aai-docs-samples/nbc.mp3",.SentimentAnalysis = correct. ).foreach (var cause transcript.SentimentAnalysisResults!).Console.WriteLine( result.Text).Console.WriteLine( result.Sentiment)// FAVORABLE, NEUTRAL, or NEGATIVE.Console.WriteLine( result.Confidence).Console.WriteLine($" Timestamp: result.Start - result.End ").To read more, visit the formal AssemblyAI blog.Image resource: Shutterstock.

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