Phonemicrodb ^new^

It is highly likely that this is either:

A Phonemicrodb rejects the BLOB model. Instead of storing audio files, it stores . It operates on three distinct layers: phonemicrodb

SELECT user_id, timestamp FROM audio_stream WHERE phoneme = 'A' AND frequency > 500Hz AND preceding_silence > 200ms; It is highly likely that this is either:

The increasing demand for on-device speech recognition and phonetic transcription in resource-constrained environments (wearables, IoT) exposes a gap: existing time-series databases are too slow for phoneme-level transactions, while key-value stores lack phonetic indexing. This paper introduces , a lightweight, embedded database designed for micro-transactions on phoneme sequences. PhonemicroDB combines a phoneme-aware Bloom filter index with a write-optimized, log-structured merge-tree (LSM) tailored for sub-100ms audio frames. Benchmarks show a 78% reduction in query latency for "phoneme proximity joins" compared to SQLite and Redis, while consuming only 2.4 MB of RAM on an ARM Cortex-M4. This paper introduces , a lightweight, embedded database