# blip25-mbe
A research Rust implementation of the DVSI MBE codec family (IMBE, AMBE,
AMBE+, AMBE+2) for P25, DMR, NXDN, and D-STAR pipelines. Functionally
parallel to the AMBE-3000R chip's codec layer.
Covers IMBE (P25 Phase 1), AMBE / AMBE+ / AMBE+2 (DVSI AMBE-1000/2000/3000
generations), and parametric rate conversion between them.
Built from TIA-102 specifications and expired DVSI patents. Validated by
black-box comparison against DVSI hardware and published test vectors.
No code or algorithms borrowed from existing open-source vocoder projects.
> **Patent notice.** This source code is provided for research and
> educational purposes only. The half-rate (AMBE+2) implementation
> unavoidably reads on the claims of **US8359197**, active until
> **2028-05-20**. See [`PATENT_NOTICE.md`](./PATENT_NOTICE.md) for the
> full list, comparable-project survey, and project policy.
See [`DESIGN.md`](./DESIGN.md) for the architectural model and
[`SCOPE_PLAN.md`](./SCOPE_PLAN.md) for the current roadmap status.
New to the DVSI codec family or curious why open-source P25 sounds worse than
commercial radios? Read [`docs/codec_family_explainer.md`](./docs/codec_family_explainer.md)
for the wire-format-vs-implementation story and what this project does about it.
## Quick start
The recommended entry point for in-process Rust callers is the
[`Vocoder`](./crates/blip25-mbe/src/vocoder.rs) handle, modeled on
the DVSI AMBE-3000R chip's per-channel API:
```rust
use blip25_mbe::vocoder::{Rate, Vocoder};
// Open a P25 Phase 1 (full-rate IMBE) channel.
let mut tx = Vocoder::new(Rate::Imbe7200x4400);
let pcm: [i16; 160] = [0; 160];
let bits = tx.encode_pcm(&pcm).unwrap(); // 18-byte FEC frame
let mut rx = Vocoder::new(Rate::Imbe7200x4400);
let pcm = rx.decode_bits(&bits).unwrap(); // 160 samples
```
Beyond the per-frame primitive, the same handle exposes:
- `encode_stream` / `decode_stream` — slice → `Iterator<Item = Result<…>>`.
- `LiveEncoder` / `LiveDecoder` — chunk-driven with internal residue
buffer for audio-callback / socket use.
- `extract_params` / `synthesize_params` — parameter-layer entries
that skip the wire FEC, useful for transcoding / analysis pipelines.
- `Transcoder` — P25 Phase 1 ↔ Phase 2 wire-bit bridge.
- `VocoderBuilder` — fluent configuration (tone detection, beyond-spec
repeat reset, silence dispatch, pitch-silence override).
- Optional `serde` feature for shipping diagnostic types over RPC.
Two runnable examples demonstrate everything:
```bash
cargo run --release --example vocoder_demo -p blip25-mbe # full API walkthrough
cargo run --release --example vocoder_bench -p blip25-mbe # throughput micro-benchmark
```
See [`INTEGRATION.md`](./INTEGRATION.md) for the AMBE-3000R protocol →
`Vocoder` operation correspondence and the chip-vs-codec boundary
principle.
## Layout
```
crates/blip25-mbe/ The published crate. Self-contained; no proprietary material.
conformance/
vectors/ DVSI test-vector conformance harness. (publish = false)
chip/ Live DVSI USB-3000 chip conformance. (publish = false)
speech-quality/ BABG-style PESQ/POLQA scoring. (publish = false)
tools/
dvsi-diff/ Iteration tool for diagnosing vector failures.
```
## Testing tiers
| Unit tests | None | Anyone, crates.io CI |
| Vector conformance | DVSI test vectors on disk | Project CI / developers with access |
| Chip conformance | DVSI USB-3000 hardware | Project CI with chip attached |
| Speech quality | Reference speech + PESQ scorer | Later |
The published crate's `cargo test` is meaningful on its own. Conformance
against DVSI material is additional, optional, and never required for a
contributor to validate their work.
## On this being AI-designed
This project was designed and scaffolded by Claude Opus 4.6, via Claude
Code, in collaboration with a human domain expert. The fact is called out
here because "AI-written" is sometimes used as a reason to dismiss a
project without looking at it, and the process behind this one is worth
being honest about.
A single prompt of "build me an MBE vocoder in Rust" would have produced
a port of OP25, SDRTrunk, dsdcc, or JMBE. Those codebases are what
modern language models have been trained on, so they reproduce them. The
result would have inherited the twenty-year-old conflation of wire format
with codec that every one of those open implementations shares.
That is not what happened. What happened was iterative correction:
- Before any code, the model was directed to read specific TIA-102
implementation specs and given a clean-room directive: no reading of
existing open-source vocoders. Ambiguous specs were to be reported as
gaps, not guessed around.
- When the model proposed a module called `transcode/`, the author
corrected it to "rate conversion" — the term used in the DVSI AMBE-3000
protocol spec — and pointed it at the relevant document.
- When the model treated the codec as a single thing, the author pointed
out that AMBE-1000, AMBE-2000, and AMBE-3000 are three generations
sharing one parameter model, and that DVSI's own P25 / P25A / P25X
modes run different codec algorithms behind identical wire bits.
- When the model drifted toward IMBE-centric naming, the author
redirected it to `imbe_wire` and `ambe_plus2_wire` as peers (with
`dvsi_3000` alongside for the chip-protocol wire), reflecting that
each is a wire over the same shared parameter model.
- The three-tier test architecture — self-contained unit tests, vector
blackbox, live-chip blackbox — came from the author requiring that
contributors never be blocked by lack of proprietary material.
The design document's central claim — three orthogonal axes (wire,
parameter, codec) joined at a common interchange type, with rate
conversion as a first-class peer rather than a decoder afterthought —
is what the specs say. The model would not have arrived there alone.
It arrived there because a domain expert re-read specs with it, rejected
plausible-sounding first answers, and insisted on the clean decomposition
that the specs actually describe.
That is the case for AI as a force multiplier rather than a shortcut.
Most practitioners never find time to rebuild a familiar problem from
first principles. Directed collaboration with an AI assistant makes it
possible in a weekend that would otherwise have taken a sabbatical. The
quality of the output is a direct function of the expert's willingness
to correct and direct; the AI amplifies what the expert already knows,
it does not substitute for it.
If you are an expert in something you care about but have never had the
bandwidth to rebuild from the ground up, you have a collaborator now who
reads as fast as you can think. Used that way, what comes out is not an
AI project. It is the project you finally had the time to build.
## License
MIT. See [`LICENSE`](./LICENSE).