Open-source speech recognition toolkit for training, inference, streaming ASR, VAD, punctuation, speaker diarization pipelines, and OpenAI-compatible/MCP serving.

Open-source SenseVoiceSmall model for Mandarin, Cantonese, English, Japanese, and Korean ASR, language ID, emotion recognition, and audio event detection.

Open-source LLM-based ASR model family for Chinese, dialect, accent, and multilingual speech, with FunASR, vLLM, streaming, and llama.cpp runtimes.

High-performance Google Colab Notebook for fast & accurate audio transcription/translation using OpenAI Whisper. Accelerated on TPUs with PyTorch/XLA. Features an interactive UI for model selection, multi-language support, and long-form audio processing.

Point of Interest Error Rate (PIER) Metric for Code-Switching ASR: A specialized evaluation metric designed to focus on critical points in multilingual speech recognition, providing a more accurate analysis of code-switched utterances.

Real-time transformer-based ASR supporting 100+ languages - Google Cloud integration with noise cancellation & low-latency optimization

AISRT - 本地 AI 字幕生成工具 / local AI subtitle generator for video/audio to SRT, multilingual ASR, timestamp alignment, GUI/CLI batch processing, and local SRT translation.

Code-switching ASR adaptation for strong multilingual speech recognition models. Synthetic CSW data generation, Whisper adaptation, Bayesian LoRA (BLoRA), and robust multilingual ASR evaluation.