eredu-codec

eredu-codec contains backend-neutral neural-audio architectures used with Eredu's realtime speech models. Mimi checkpoint preparation validates the released SafeTensors catalog and produces exact neutral parameter recipes. construct materializes and atomically binds those recipes through any general ParameterBackend, returning the ordinary Mimi<B::Tensor> type.

Mimi

The mimi module implements the Mimi encoder, residual vector quantizer, and decoder used by Moshi-family speech models. It supports:

• exact backend-neutral checkpoint admission and tensor-layout recipes;
• selecting an active subset of a checkpoint's codebooks;
• PCM-to-token and token-to-PCM conversion;
• latent-to-token and token-to-latent conversion; and
• stateful one-frame decoding for realtime playback.

use eredu_codec::mimi::Mimi;
use eredu_nn::Tensor;

fn round_trip<T: Tensor>(
    mimi: &mut Mimi<T>,
    pcm: &T,
    context: &T::Context,
) -> Result<T, eredu_codec::Error> {
    let tokens = mimi.encode(pcm, context)?;
    mimi.decode(&tokens, context)
}

Tensor shapes follow [batch, channels, samples_or_frames]. Audio capture, playback, resampling, and device selection remain application concerns.

Evaluation tools

Executable Mimi benchmarks and PersonaPlex evaluation entry points select a backend's general parameter mechanisms and use this crate's neutral constructor. This crate has no concrete-backend feature or accelerator dependency. See the PersonaPlex quantization evaluation guide.

License

Licensed under either Apache-2.0 or MIT.