| --- |
| license: apache-2.0 |
| base_model: neuphonic/neucodec |
| tags: |
| - coreml |
| - audio |
| - speech |
| - codec |
| - ios |
| - mlpackage |
| --- |
| |
| # neucodec-coreml-decoder |
|
|
| CoreML (.mlpackage) conversion of [NeuCodec](https://huggingface.co/neuphonic/neucodec) decoder by Neuphonic. |
|
|
| Converts flat FSQ codes to 24kHz audio. Supports iOS 16+ / macOS 13+. |
|
|
| ## Files |
|
|
| | File | Tokens | Duration | |
| |------|--------|----------| |
| | `neucodec_decoder_seq50.mlpackage` | 50 | 1s | |
| | `neucodec_decoder_seq100.mlpackage` | 100 | 2s | |
| | `neucodec_decoder_seq250.mlpackage` | 250 | 5s | |
|
|
| ## I/O |
|
|
| - **Input** `codes`: shape `(1, 1, L)` Int32, flat FSQ indices 0-65535 at 50 tok/sec |
| - **Output** `audio`: shape `(1, 1, T)` Float32 at 24kHz |
|
|
| ## Swift Usage |
|
|
| ```swift |
| import CoreML |
| |
| let config = MLModelConfiguration() |
| config.computeUnits = .cpuAndGPU |
| let model = try MLModel(contentsOf: compiledURL, configuration: config) |
| |
| let codesArray = try MLMultiArray(shape: [1, 1, 100], dataType: .int32) |
| for i in 0..<100 { codesArray[i] = NSNumber(value: flatCode) } |
| let input = try MLDictionaryFeatureProvider(dictionary: ["codes": codesArray]) |
| let output = try await model.prediction(from: input) |
| // output["audio"]: shape [1, 1, T], Float32 at 24kHz |
| ``` |
|
|
| ## Source |
|
|
| [neuphonic/neucodec](https://huggingface.co/neuphonic/neucodec) — Apache 2.0 |
|
|
