Audio8-ASR-0.1B: Speech Recognition in Your Pocket
Audio8-ASR family · 0.1B on-device model
September 10, 2026
Some speech recognition must happen on the device: on a plane, in the subway, across a weak connection, or wherever a user does not want a recording sent to the cloud. Audio8-ASR-0.1B brings speech recognition to phones, earbuds, recorders, and edge devices.
The value of a small model is not that it is simply “shrunk.” It needs no network, consumes no data connection, keeps sensitive voices on the device, and still delivers a useful local recognition experience.
| Item | Details |
|---|
| Model | Audio8-ASR-0.1B |
| Scale | 0.1B parameters |
| Positioning | Lightweight, low-power, on-device recognition |
| Primary runtime | CPU, edge devices, and mobile, including Apple ANE |
| Languages | 7 languages |
| Best suited for | Voice input, field notes, offline captions, and privacy-sensitive applications |
Core capability: stable recognition on the device
When a model stays resident on a device, parameter count, peak memory, and power directly determine whether a product is viable. Audio8-ASR-0.1B is designed for local real-time transcription, stable responses, and sustained low-power operation.
| Capability | Benefit |
|---|
| Portable ONNX Runtime form | No CUDA or PyTorch dependency; straightforward device deployment |
| INT8 / INT4 quantization | Reduces storage and memory use so lower-end devices can run it |
| Apple ANE path | Moves recognition to a dedicated low-power unit for better battery life |
| Fully local processing | Keeps voices on the device and protects privacy |
Use cases and quick start
Use it for mobile voice input, interview and meeting notes, offline captions, and privacy-sensitive applications. Select the general ONNX Runtime or Apple ANE version, connect the Swift or C interface, and transcribe recordings locally.
The family at a glance
Choose 3B for the highest quality in complex scenes; choose 0.6B when GPU resources and cost need to be balanced.
- Audio8-ASR-3B · High-accuracy flagship: complex audio, multilingual, high-quality transcription
- Audio8-ASR-0.6B · Balanced choice: quality, speed, and cost
- Audio8-ASR-0.1B · Lightweight edge model: local recognition on phones and edge devices
Limitations and responsible use
Automatic transcription can be affected by noise, accents, overlapping speech, specialist terms, and audio quality, and should not be treated as an unreviewed factual record. Medical, legal, financial, and other high-risk uses require human review, and the deployer is responsible for the final output.
Obtain authorization before processing personal voices, conversations, or sensitive information and comply with applicable laws such as GDPR. Audio and text should be encrypted, access-controlled, and retained only as long as necessary.
Audio8-ASR-0.1B / Audio8-ASR
Useful private recognition within a genuinely on-device budget.
