fquirin/speech-recognition-experiments

The project is a collection of experiments and integration scripts for the SEPIA Framework. With 63 stars and zero recent velocity (age > 3 years), it serves primarily as a historical reference for users of that specific ecosystem. It lacks any proprietary moat or novel technical approach; it essentially wraps existing, older ASR engines like Kaldi and DeepSpeech. Since the release of OpenAI's Whisper and subsequent optimizations (faster-whisper, whisper.cpp), the benchmarking of these legacy models has become largely obsolete for general purposes. Frontier labs and established cloud providers (AWS, Google, Microsoft) have commoditized high-performance ASR, leaving little room for niche benchmarking tools that don't incorporate modern SOTA models. Defensibility is minimal as any developer could replicate these benchmarks in a few days using modern libraries like Hugging Face Transformers.