01 — STT Engine
Speech to Text
Convert Arabic speech into text via Whisper and Wav2Vec2 architectures. High-fidelity audio transcription in real-time.
02 — Query System
Voice Search
Index audio recordings natively and perform semantic or keyword queries against the spoken audio archive.
03 — Segmentation
Speaker Diarization
Acoustic fingerprinting isolates individual speakers from messy, overlapping multi-person datasets.
04 — Classification
Emotion Detection
Measure prosody and pitch contours to detect emotional resonance (anger, happiness, sadness).
05 — NLP Operations
Summarization
Transformers condense hour-long transcripts into high-density insights, maintaining zero contextual loss.
06 — Comms Layer
Voice Chat
Record voice messages that are auto-transcribed, indexed, and instantly searchable. A living archive of spoken notes with semantic retrieval baked in.
ARCH: FASTAPI/NEXT // RT: 0ms
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