QuentinFuxa/WhisperLiveKit
Dec 2024 – Feb 2026
15 Months active
Languages Used
HTMLJavaScriptMarkdownPNGPythonCSSDockerfileSVG
Technical Skills
Audio ProcessingFastAPIFrontend DevelopmentHTMLJavaScriptMachine Learning
Quentin Fuxa
PROFILE
Quentin Fuxa
Overall Statistics
Feature vs Bugs
70%Features
Repository Contributions
334Total
Bugs
53
Commits
334
Features
125
Lines of code
382,644
Activity Months15
Your Network
21 people
Work History
February 2026
8 Commits • 3 Features
Feb 1, 2026February 2026 monthly summary for QuentinFuxa/WhisperLiveKit. Focused on delivering robust streaming ASR/translation capabilities, improving audio processing, and enhancing stability with memory-conscious optimizations. This period included a major release, feature enhancements in diarization and ASR token handling, and substantive fixes to the simulstreaming/translation pipeline and VRAM usage.
8 Commits • 3 Features
Feb 1, 2026February 2026 monthly summary for QuentinFuxa/WhisperLiveKit. Focused on delivering robust streaming ASR/translation capabilities, improving audio processing, and enhancing stability with memory-conscious optimizations. This period included a major release, feature enhancements in diarization and ASR token handling, and substantive fixes to the simulstreaming/translation pipeline and VRAM usage.
February 2026
January 2026
3 Commits • 2 Features
Jan 1, 2026January 2026 monthly summary for QuentinFuxa/WhisperLiveKit focused on delivering core features, stabilizing language data handling, and improving release hygiene. Delivered a Simulation Whispering Feature to extend WhisperLiveKit capabilities, added English JSON normalization to the build for robust language data processing, and performed a version bump to align packaging and release metadata. These efforts collectively enhance feature realism, multilingual support, and release reliability, driving faster time-to-value for customers and ecosystem integrations.
January 2026
3 Commits • 2 Features
Jan 1, 2026January 2026 monthly summary for QuentinFuxa/WhisperLiveKit focused on delivering core features, stabilizing language data handling, and improving release hygiene. Delivered a Simulation Whispering Feature to extend WhisperLiveKit capabilities, added English JSON normalization to the build for robust language data processing, and performed a version bump to align packaging and release metadata. These efforts collectively enhance feature realism, multilingual support, and release reliability, driving faster time-to-value for customers and ecosystem integrations.
December 2025
3 Commits • 2 Features
Dec 1, 2025Concise monthly summary for 2025-12 (QuentinFuxa/WhisperLiveKit): Delivered usability and deployment-oriented improvements and a release bump, enhancing onboarding, setup reliability, and deployment workflows. Focused on reducing setup time, improving workspace hygiene, and strengthening packaging and versioning to support scalable growth.
3 Commits • 2 Features
Dec 1, 2025Concise monthly summary for 2025-12 (QuentinFuxa/WhisperLiveKit): Delivered usability and deployment-oriented improvements and a release bump, enhancing onboarding, setup reliability, and deployment workflows. Focused on reducing setup time, improving workspace hygiene, and strengthening packaging and versioning to support scalable growth.
December 2025
November 2025
15 Commits • 6 Features
Nov 1, 2025Summary for 2025-11: In November 2025, the WhisperLiveKit team delivered a targeted set of features and reliability improvements across the QuentinFuxa/WhisperLiveKit repository, focusing on end-to-end task lifecycle, model loading resilience, on-device and simulstreaming readiness, UX enhancements, and deployment flexibility. These updates reduce operational risk, accelerate customer deployments, and enable broader use cases from edge to cloud. Key features delivered: - Audio Processing Task Management Enhancements: adds a method to check completion of processing tasks, strengthens watchdog to ensure all tasks finish before termination, and improves user feedback for missing dependencies. (commit ffe52847648c398521cc0bc1620fe33727a42aef) - HuggingFace Integration and Model Loading Compatibility: improves compatibility with Hugging Face configuration files, infers model dimensions from config, converts state dictionaries to expected format, and supports additional model formats and alignment head configuration to streamline loading. (commits 0491681be49970353139c940756f9856b636c946; 7108d2ddc503a96a92d746a136c5062793cf0452; d310f7e25f78c54cae4fbad552a78d41dabbef58; a732e0903e378331c6826795a1d66fd253bb4190; 13401ffe244943b979fab20a77cbbe80dcafd190) - CoreML Integration and Simulstreaming Enhancements: enables Whisper encoder CoreML export and compatibility in simulstreaming, including CoreML encoder loading in the pipeline. (commits 4d2ffb24f8c4e919516a7924a4b85c9f63725ad8; a38c103fcddf529017237f6a1fa42d660de220ef) - Translation and Transcription UX Improvements: adds direct English translation via Whisper, shows translation buffer in frontend for real-time feedback, enhances handling of silence during transcription, and improves output formatting state. (commits 16461052ed6baeac7fd8bb7c766ca24cab9a22ce; 8d9be88fe6fc506209ca4df804958699b53ee910; 28985962a02846b437bec48f30ff07a40f6f0861; 5491dbd8241acd47d41d711733264ed9545c88da) - Backend Flexibility and LoRA Support, plus Release housekeeping: introduces backend policy for selecting Whisper implementations, supports multiple backends (MLX Whisper, Faster Whisper), and adds LoRA loader to Whisper core, along with a version bump. (commits 80b77998f9fd99d1f217c3f3868f326a0b4453b7; 1bbbb7903caf010231bec7888b8bf2c4ee38927a; bcffdbc6b3dd016fd767cb336e59a2e24714dca0) Major bugs fixed: - Fixed HF config compatibility issues and distilled model loading (addresses issue #269) by mapping config.json to ModelDimensions and aligning state dictionaries. - Strengthened task lifecycle with improved watchdog to prevent premature termination and dangling processing tasks. - Silence handling improvements: transcription now finishes even if silence begins before validation. - Added alignment heads detection script to support distilled Whisper setups. Overall impact and accomplishments: - Increased reliability and stability of long-running audio processing tasks and transcription workflows. - Expanded model loading capabilities for HuggingFace configurations and distilled models, reducing setup time and manual reformatting. - Enabled on-device CoreML paths and simulstreaming, improving performance for Apple devices and real-time, multi-stream use cases. - Enhanced user experience with real-time translation feedback, robust silence handling, and clearer progress feedback in the frontend. - Broadened deployment options with multiple backends and LoRA support, enabling performance tuning and more flexible infrastructure. Technologies/skills demonstrated: - Python, asynchronous task management, and watchdog-based reliability patterns. - HuggingFace model loading and config compatibility, state_dict transformation, alignment head tooling. - CoreML export and pipeline integration for on-device inference and simulstreaming. - Real-time translation UX, silence handling in transcription, and frontend state management. - Backends policy design, multi-backend orchestration (MLX Whisper, Faster Whisper), and LoRA integration. - Versioning and release housekeeping to reflect API usage and optimizations.
November 2025
15 Commits • 6 Features
Nov 1, 2025Summary for 2025-11: In November 2025, the WhisperLiveKit team delivered a targeted set of features and reliability improvements across the QuentinFuxa/WhisperLiveKit repository, focusing on end-to-end task lifecycle, model loading resilience, on-device and simulstreaming readiness, UX enhancements, and deployment flexibility. These updates reduce operational risk, accelerate customer deployments, and enable broader use cases from edge to cloud. Key features delivered: - Audio Processing Task Management Enhancements: adds a method to check completion of processing tasks, strengthens watchdog to ensure all tasks finish before termination, and improves user feedback for missing dependencies. (commit ffe52847648c398521cc0bc1620fe33727a42aef) - HuggingFace Integration and Model Loading Compatibility: improves compatibility with Hugging Face configuration files, infers model dimensions from config, converts state dictionaries to expected format, and supports additional model formats and alignment head configuration to streamline loading. (commits 0491681be49970353139c940756f9856b636c946; 7108d2ddc503a96a92d746a136c5062793cf0452; d310f7e25f78c54cae4fbad552a78d41dabbef58; a732e0903e378331c6826795a1d66fd253bb4190; 13401ffe244943b979fab20a77cbbe80dcafd190) - CoreML Integration and Simulstreaming Enhancements: enables Whisper encoder CoreML export and compatibility in simulstreaming, including CoreML encoder loading in the pipeline. (commits 4d2ffb24f8c4e919516a7924a4b85c9f63725ad8; a38c103fcddf529017237f6a1fa42d660de220ef) - Translation and Transcription UX Improvements: adds direct English translation via Whisper, shows translation buffer in frontend for real-time feedback, enhances handling of silence during transcription, and improves output formatting state. (commits 16461052ed6baeac7fd8bb7c766ca24cab9a22ce; 8d9be88fe6fc506209ca4df804958699b53ee910; 28985962a02846b437bec48f30ff07a40f6f0861; 5491dbd8241acd47d41d711733264ed9545c88da) - Backend Flexibility and LoRA Support, plus Release housekeeping: introduces backend policy for selecting Whisper implementations, supports multiple backends (MLX Whisper, Faster Whisper), and adds LoRA loader to Whisper core, along with a version bump. (commits 80b77998f9fd99d1f217c3f3868f326a0b4453b7; 1bbbb7903caf010231bec7888b8bf2c4ee38927a; bcffdbc6b3dd016fd767cb336e59a2e24714dca0) Major bugs fixed: - Fixed HF config compatibility issues and distilled model loading (addresses issue #269) by mapping config.json to ModelDimensions and aligning state dictionaries. - Strengthened task lifecycle with improved watchdog to prevent premature termination and dangling processing tasks. - Silence handling improvements: transcription now finishes even if silence begins before validation. - Added alignment heads detection script to support distilled Whisper setups. Overall impact and accomplishments: - Increased reliability and stability of long-running audio processing tasks and transcription workflows. - Expanded model loading capabilities for HuggingFace configurations and distilled models, reducing setup time and manual reformatting. - Enabled on-device CoreML paths and simulstreaming, improving performance for Apple devices and real-time, multi-stream use cases. - Enhanced user experience with real-time translation feedback, robust silence handling, and clearer progress feedback in the frontend. - Broadened deployment options with multiple backends and LoRA support, enabling performance tuning and more flexible infrastructure. Technologies/skills demonstrated: - Python, asynchronous task management, and watchdog-based reliability patterns. - HuggingFace model loading and config compatibility, state_dict transformation, alignment head tooling. - CoreML export and pipeline integration for on-device inference and simulstreaming. - Real-time translation UX, silence handling in transcription, and frontend state management. - Backends policy design, multi-backend orchestration (MLX Whisper, Faster Whisper), and LoRA integration. - Versioning and release housekeeping to reflect API usage and optimizations.
October 2025
28 Commits • 7 Features
Oct 1, 2025October 2025: Delivered core platform enhancements, stabilizing translation/streaming paths and supporting secure deployments, with robust API/docs, audio processing improvements, and release readiness. Key features delivered include forwarded_allow_ips support in core, API documentation and v0 API updates, translation framework enhancements, audio processing enhancements (faster encoder and Silero VAD v6 ONNX), and release governance (version bumps to 0.2.12/0.2.13 and license inheritance). Major bugs fixed include buffer diarization spacing, token reattribution after last_validated_token, and fixes across #248, #251, and streaming/translation edge cases. Overall impact: improved security deployments, faster/more reliable inference, clearer API surfaces for developers, and a clean release path. Technologies/skills demonstrated: core architecture changes, ONNX-backed VAD, faster encoder integration, translation state refactor, cache optimization, and thorough doc updates.
28 Commits • 7 Features
Oct 1, 2025October 2025: Delivered core platform enhancements, stabilizing translation/streaming paths and supporting secure deployments, with robust API/docs, audio processing improvements, and release readiness. Key features delivered include forwarded_allow_ips support in core, API documentation and v0 API updates, translation framework enhancements, audio processing enhancements (faster encoder and Silero VAD v6 ONNX), and release governance (version bumps to 0.2.12/0.2.13 and license inheritance). Major bugs fixed include buffer diarization spacing, token reattribution after last_validated_token, and fixes across #248, #251, and streaming/translation edge cases. Overall impact: improved security deployments, faster/more reliable inference, clearer API surfaces for developers, and a clean release path. Technologies/skills demonstrated: core architecture changes, ONNX-backed VAD, faster encoder integration, translation state refactor, cache optimization, and thorough doc updates.
October 2025
September 2025
55 Commits • 22 Features
Sep 1, 2025September 2025 — QuentinFuxa/WhisperLiveKit delivered a performance- and reliability-focused set of architecture, translation, and frontend enhancements that improve scalability, multilingual coverage, and deployment reliability. Notable deliverables include a modular architecture update enabling independent deployment of the FastAPI server; Whisper memory optimization to load only the decoder when encoders change; and broad code modernization using torch.as_tensor to improve efficiency and consistency. The NLLB integration and translation-path enhancements expanded multilingual capabilities with smarter device selection and asynchronous translation tasks. Chrome extension improvements shipped with v0.1.0 release, microphone listing workaround, and revamped settings, along with shared frontend across web and extension. Additional backend and processing improvements — including translator batching, AudioWorklet/PCM input support, async non-blocking transcription/translation, and timestamps optimization for simulstreaming — contributed to lower latency and higher throughput. Version bumps (0.2.9 through 0.2.11) reflect sustained polish and governance. Overall impact: reduced latency, expanded language coverage, and more reliable deployments across core processing, translation, and extension UX. Technologies demonstrated include PyTorch memory management and device handling, AsyncIO, NLLB integration, AudioWorklet, modular architecture, and frontend/backend performance optimization.
September 2025
55 Commits • 22 Features
Sep 1, 2025September 2025 — QuentinFuxa/WhisperLiveKit delivered a performance- and reliability-focused set of architecture, translation, and frontend enhancements that improve scalability, multilingual coverage, and deployment reliability. Notable deliverables include a modular architecture update enabling independent deployment of the FastAPI server; Whisper memory optimization to load only the decoder when encoders change; and broad code modernization using torch.as_tensor to improve efficiency and consistency. The NLLB integration and translation-path enhancements expanded multilingual capabilities with smarter device selection and asynchronous translation tasks. Chrome extension improvements shipped with v0.1.0 release, microphone listing workaround, and revamped settings, along with shared frontend across web and extension. Additional backend and processing improvements — including translator batching, AudioWorklet/PCM input support, async non-blocking transcription/translation, and timestamps optimization for simulstreaming — contributed to lower latency and higher throughput. Version bumps (0.2.9 through 0.2.11) reflect sustained polish and governance. Overall impact: reduced latency, expanded language coverage, and more reliable deployments across core processing, translation, and extension UX. Technologies demonstrated include PyTorch memory management and device handling, AsyncIO, NLLB integration, AudioWorklet, modular architecture, and frontend/backend performance optimization.
August 2025
61 Commits • 31 Features
Aug 1, 2025August 2025 performance summary for QuentinFuxa/WhisperLiveKit: Delivered substantial core upgrades for SimulStreaming Whisper, completed a comprehensive backend refactor for maintainability, and implemented frontend UX and performance enhancements. Strengthened reliability through targeted bug fixes and compatibility improvements, and advanced deployment readiness with a migration to modern build tooling and a clear release process. Result: lower latency, improved accuracy, easier deployment, and a robust foundation for scalable streaming workloads.
61 Commits • 31 Features
Aug 1, 2025August 2025 performance summary for QuentinFuxa/WhisperLiveKit: Delivered substantial core upgrades for SimulStreaming Whisper, completed a comprehensive backend refactor for maintainability, and implemented frontend UX and performance enhancements. Strengthened reliability through targeted bug fixes and compatibility improvements, and advanced deployment readiness with a migration to modern build tooling and a clear release process. Result: lower latency, improved accuracy, easier deployment, and a robust foundation for scalable streaming workloads.
August 2025
July 2025
22 Commits • 7 Features
Jul 1, 2025July 2025 monthly summary for QuentinFuxa/WhisperLiveKit focusing on business value and technical achievements. Highlights include FFmpeg backend stability fixes and direct subprocess refactor, SimulStreaming packaging and integration enhancements, import-path/lib-mode compatibility for simul whisper backend, and diarization/punctuation improvements with robustness enhancements. Additional quality and maintenance work addressed external issues, token handling, and license updates.
July 2025
22 Commits • 7 Features
Jul 1, 2025July 2025 monthly summary for QuentinFuxa/WhisperLiveKit focusing on business value and technical achievements. Highlights include FFmpeg backend stability fixes and direct subprocess refactor, SimulStreaming packaging and integration enhancements, import-path/lib-mode compatibility for simul whisper backend, and diarization/punctuation improvements with robustness enhancements. Additional quality and maintenance work addressed external issues, token handling, and license updates.
June 2025
15 Commits • 3 Features
Jun 1, 2025June 2025 monthly summary for QuentinFuxa/WhisperLiveKit focused on delivering architecture improvements, real-time streaming capabilities, and stability enhancements across the transcription pipeline. Key work includes a comprehensive transcription engine overhaul, advanced diarization enhancements with configuration options, and the SimulStreaming backend for ultra-low latency transcription. Accompanied by documentation updates and readiness for production-grade FastAPI usage.
15 Commits • 3 Features
Jun 1, 2025June 2025 monthly summary for QuentinFuxa/WhisperLiveKit focused on delivering architecture improvements, real-time streaming capabilities, and stability enhancements across the transcription pipeline. Key work includes a comprehensive transcription engine overhaul, advanced diarization enhancements with configuration options, and the SimulStreaming backend for ultra-low latency transcription. Accompanied by documentation updates and readiness for production-grade FastAPI usage.
June 2025
May 2025
13 Commits • 4 Features
May 1, 2025May 2025 monthly summary for QuentinFuxa/WhisperLiveKit focused on expanding platform reach, hardening real-time transcription flows, and improving packaging and release hygiene. Delivered Windows audio input support via PyAudioWPatch, added flexible mode switching between WebSocket and PyAudioWPatch input, and updated installation/docs to reduce onboarding friction. Strengthened live transcription robustness with end-of-transcription handling, sentinel-based task termination, improved WebSocket resilience, real-time lag reporting, and clearer no-audio status messaging, accompanied by enhanced logging for observability. Introduced token-based ASR output API surface (token lists for downstream processing) to broaden integration capabilities. Fixed FFmpeg missing-dependency handling with clearer guidance and error logging, reducing user friction during setup. Completed release and maintenance work including version bumps, license refinements for shields.io, and docs/import refactor to streamline future releases.
May 2025
13 Commits • 4 Features
May 1, 2025May 2025 monthly summary for QuentinFuxa/WhisperLiveKit focused on expanding platform reach, hardening real-time transcription flows, and improving packaging and release hygiene. Delivered Windows audio input support via PyAudioWPatch, added flexible mode switching between WebSocket and PyAudioWPatch input, and updated installation/docs to reduce onboarding friction. Strengthened live transcription robustness with end-of-transcription handling, sentinel-based task termination, improved WebSocket resilience, real-time lag reporting, and clearer no-audio status messaging, accompanied by enhanced logging for observability. Introduced token-based ASR output API surface (token lists for downstream processing) to broaden integration capabilities. Fixed FFmpeg missing-dependency handling with clearer guidance and error logging, reducing user friction during setup. Completed release and maintenance work including version bumps, license refinements for shields.io, and docs/import refactor to streamline future releases.
April 2025
14 Commits • 5 Features
Apr 1, 2025In April 2025, WhisperLiveKit made substantial progress across front-end usability, back-end stability, and deployment security, delivering tangible business value for real-time transcription and streaming workloads. The month focused on resilient live transcription experiences, robust audio processing pipelines, and streamlined, secure deployment practices, culminating in preparation for stable releases 0.1.4 and 0.1.5.
14 Commits • 5 Features
Apr 1, 2025In April 2025, WhisperLiveKit made substantial progress across front-end usability, back-end stability, and deployment security, delivering tangible business value for real-time transcription and streaming workloads. The month focused on resilient live transcription experiences, robust audio processing pipelines, and streamlined, secure deployment practices, culminating in preparation for stable releases 0.1.4 and 0.1.5.
April 2025
March 2025
22 Commits • 12 Features
Mar 1, 2025March 2025 (2025-03): Delivered key diarization and streaming reliability improvements for WhisperLiveKit, along with targeted stability fixes and user-facing polish. The work emphasized business value by reducing startup and runtime failures, increasing observability, and speeding operational onboarding through automated defaults and improved validation.
March 2025
22 Commits • 12 Features
Mar 1, 2025March 2025 (2025-03): Delivered key diarization and streaming reliability improvements for WhisperLiveKit, along with targeted stability fixes and user-facing polish. The work emphasized business value by reducing startup and runtime failures, increasing observability, and speeding operational onboarding through automated defaults and improved validation.
February 2025
46 Commits • 13 Features
Feb 1, 2025February 2025 (Month: 2025-02) delivered substantial back-end refactors, runtime optimizations, and observability improvements for WhisperLiveKit, driving faster startup, better resource use, and clearer debugging. Key architectural changes include unifying text processing around Sentence, Transcript, and ASRToken with a common TimedText base, and updating buffers to reflect transcript.text; this simplifies maintenance and aligns the backend with new data models. Added automatic CUDA vs CPU runtime detection to select the appropriate processing path, and implemented a model loading lifecycle that loads the model once per lifespan to reduce startup overhead. Enhanced logging and observability for WebSocket events and FFmpeg process management, and removed an obsolete logging handler to prevent duplicate logs. Diarization capabilities were advanced to word-level granularity with SpeakerSegment support, clearer attribution, VAD integration, and HTML mapping improvements, complemented by UI updates showing detected language and improved timer/speaker indicators. Several foundational maintenance activities were completed, including frontend/backend restructuring, buffer format improvements for undiarized text, and comprehensive README/documentation updates. These changes collectively reduce latency, improve scalability, and provide clearer operational visibility for performance reviews and future work.
46 Commits • 13 Features
Feb 1, 2025February 2025 (Month: 2025-02) delivered substantial back-end refactors, runtime optimizations, and observability improvements for WhisperLiveKit, driving faster startup, better resource use, and clearer debugging. Key architectural changes include unifying text processing around Sentence, Transcript, and ASRToken with a common TimedText base, and updating buffers to reflect transcript.text; this simplifies maintenance and aligns the backend with new data models. Added automatic CUDA vs CPU runtime detection to select the appropriate processing path, and implemented a model loading lifecycle that loads the model once per lifespan to reduce startup overhead. Enhanced logging and observability for WebSocket events and FFmpeg process management, and removed an obsolete logging handler to prevent duplicate logs. Diarization capabilities were advanced to word-level granularity with SpeakerSegment support, clearer attribution, VAD integration, and HTML mapping improvements, complemented by UI updates showing detected language and improved timer/speaker indicators. Several foundational maintenance activities were completed, including frontend/backend restructuring, buffer format improvements for undiarized text, and comprehensive README/documentation updates. These changes collectively reduce latency, improve scalability, and provide clearer operational visibility for performance reviews and future work.
February 2025
January 2025
12 Commits • 4 Features
Jan 1, 2025January 2025 performance highlights for QuentinFuxa/WhisperLiveKit. Delivered a scalable multi-user online processing backend to support concurrent audio processing with robust conflict handling, enabling higher throughput for team-scale usage. Completed a codified modular backend architecture by refactoring whisper_online.py into focused modules and relocating to a src-based layout, paving the way for easier maintenance and future ASR integrations. Introduced speaker diarization (beta) via Diart integration with real-time labeling in transcription, accompanied by UI/documentation updates for user visibility. Implemented MLX Whisper argument validation and default tuning, including warnings when transcribe_kargs are used with MLX Whisper to prevent misconfigurations. Fixed a memory leak risk by ensuring resource cleanup after web streaming (del online). These changes collectively improve scalability, reliability, and developer productivity while expanding advanced features for end users.
January 2025
12 Commits • 4 Features
Jan 1, 2025January 2025 performance highlights for QuentinFuxa/WhisperLiveKit. Delivered a scalable multi-user online processing backend to support concurrent audio processing with robust conflict handling, enabling higher throughput for team-scale usage. Completed a codified modular backend architecture by refactoring whisper_online.py into focused modules and relocating to a src-based layout, paving the way for easier maintenance and future ASR integrations. Introduced speaker diarization (beta) via Diart integration with real-time labeling in transcription, accompanied by UI/documentation updates for user visibility. Implemented MLX Whisper argument validation and default tuning, including warnings when transcribe_kargs are used with MLX Whisper to prevent misconfigurations. Fixed a memory leak risk by ensuring resource cleanup after web streaming (del online). These changes collectively improve scalability, reliability, and developer productivity while expanding advanced features for end users.
December 2024
17 Commits • 4 Features
Dec 1, 2024December 2024 — WhisperLiveKit delivered a robust, real-time transcription platform with WebSocket streaming, optimized for Apple Silicon, and completed targeted documentation and project restructuring. The work emphasizes business value through faster, reliable live transcription, improved developer onboarding, and leaner assets for faster UX.
17 Commits • 4 Features
Dec 1, 2024December 2024 — WhisperLiveKit delivered a robust, real-time transcription platform with WebSocket streaming, optimized for Apple Silicon, and completed targeted documentation and project restructuring. The work emphasizes business value through faster, reliable live transcription, improved developer onboarding, and leaner assets for faster UX.
December 2024
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Quality Metrics
Correctness90.6%
Maintainability87.8%
Architecture88.6%
Performance87.8%
AI Usage70.6%
Skills & Technologies
Programming Languages
CSSDockerfileHTMLJSONJavaScriptMarkdownPNGPythonSVGTOML
Technical Skills
AI and machine learningAPI DevelopmentAPI designAPI developmentAPI integrationAPI usageASR (Automatic Speech Recognition)ASR DevelopmentAsynchronous ProgrammingAsynchronous programmingAudio ProcessingBackend DevelopmentCSSCSS stylingChrome Extension Development
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