HLM-Audio

HLM-Audio applies polynomial Hopfield networks to speech processing. Basin surgery enables direct editing of how the model processes audio patterns.

Status

HLM-Audio is currently training at large scale. Join the waiting list for early access.

Capabilities

• STT (Speech-to-Text) — transcription with editable acoustic models
• TTS (Text-to-Speech) — synthesis with programmable voice characteristics

Surgery on Audio Models

Audio models store spectral and temporal patterns as attractor basins:

surgeon = BasinSurgeon.from_checkpoint("hlm-audio.pt")

# Survey acoustic basins
survey = surgeon.survey(layer=0)

# Modify speech recognition patterns
surgeon.inject(layer=2, seed=15, strength=0.1)
surgeon.apply(layer=2)

Custom Training & Pilots

For speech and audio applications requiring custom model training, contact us.