Implements Parallel Event Processing for LiveClient and Some Examples

[dvonthenen]

Implements: https://github.com/deepgram/deepgram-dotnet-sdk/issues/198, https://github.com/deepgram/deepgram-dotnet-sdk/issues/195, https://github.com/deepgram/deepgram-dotnet-sdk/issues/193

This implements the following:

• Parallel Event Processing for multiple event subscribers (just implements a function and uses it in Live/Client.cs)
• More of this PR are examples for:
  • PreRecorded (SITS)
  • Analyze (SITS)
  • Speak
  • Edge Cases (ie Prove out KeepAlives work and timeouts will be triggered)
• Updated the logging format to something more parsable

Summary by CodeRabbit

• New Features
  • Expanded project scope to include new testing, edge cases, and analysis features such as sentiment, intent, summary, and topic analysis.
  • Introduced real-time text-to-speech API "Deepgram Aura" for conversational voice AI agents.
  • Added functionality for analyzing audio data for intents, sentiment, summaries, and topics using the Deepgram .NET SDK.
  • Implemented functionality for prerecorded audio transcription and analysis across various dimensions (intent, sentiment, summary, topic).
  • Added a new Speak project with a woodchuck subproject for text-to-speech processing.
• Improvements
  • Refactored client methods for improved event handling and parallel processing.
  • Updated logging configuration for more detailed output.
• Bug Fixes
  • Adjusted methods for handling cancellation tokens and disposing of WebSocket connections correctly.
• Documentation
  • Enhanced examples and project files to better demonstrate the usage of the Deepgram .NET SDK for audio analysis and transcription.

[coderabbitai[bot]]

Walkthrough

The updates encompass a broad enhancement and restructuring of the Deepgram solution, focusing on expanding its capabilities in analyzing audio data. New projects for testing various scenarios, including edge cases and expected failures, have been introduced. Additionally, there's a significant inclusion of projects tailored for analyzing sentiment, intent, summary, and topic from audio inputs. The solution also sees the incorporation of pre-recorded scenarios for comprehensive analysis and a unique woodchuck subproject under the Speak project, indicating a diversification in speech processing tasks.

Changes

File(s)	Change Summary
Deepgram.Dev.sln	Major restructuring with additions of testing, analysis (sentiment, intent, summary, topic), and balance management projects. New PreRecorded scenarios and a woodchuck subproject in Speak added.
Deepgram/Clients/Live/v1/Client.cs	Refactored ProcessDataReceived and Stop methods; introduced InvokeParallel for parallel event handler invocation.
Deepgram/GlobalUsings.cs	Removed global using directive for Microsoft.Extensions.Logging.
Deepgram/Logger/Log.cs	Updated logging configuration for detailed output.
examples/analyze/.../Analyze.csproj, examples/prerecorded/.../PreRecorded.csproj, examples/speak/file/woodchuck/Speak.csproj, tests/edge_cases/keepalive/KeepAlive.csproj, tests/edge_cases/reconnect_same_object/ReconnectStreaming.csproj, tests/expected_failures/exercise_timeout/ExerciseTimeout.csproj	Introduced or updated .NET project files for analyzing audio data, pre-recorded scenarios, speech processing (woodchuck), and various tests. Targeting .NET 6.0 and including references to Microsoft.Extensions.Http and Deepgram.csproj.
examples/analyze/.../Program.cs, examples/prerecorded/.../Program.cs, examples/speak/file/woodchuck/Program.cs, tests/edge_cases/keepalive/Program.cs, tests/edge_cases/reconnect_same_object/Program.cs, tests/expected_failures/exercise_timeout/Program.cs	Introduced functionality for analyzing audio data (intent, sentiment, summary, topic), transcribing pre-recorded audio, speech-to-text processing (woodchuck), and various testing scenarios using the Deepgram .NET SDK.
examples/analyze/.../conversation.txt, examples/prerecorded/.../CallCenterPhoneCall.mp3, examples/prerecorded/file/Bueller-Life-moves-pretty-fast.wav	Added new files to support audio data analysis and transcription examples, introducing "Deepgram Aura," a text-to-speech API for real-time conversational voice AI agents.

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